[{"categories":["Tech Reflections","Personal Growth"],"content":"Lately, while using various AI tools, I\u0026rsquo;ve slowly started to notice a shift: many systems include a lightweight file—something like agents.md or a similar configuration.\nThese files share an interesting consensus: don\u0026rsquo;t write too much.\nDon\u0026rsquo;t write what the model can find on its own. Don\u0026rsquo;t write general knowledge. Don\u0026rsquo;t even write many things that \u0026ldquo;seem important.\u0026rdquo; What actually gets preserved is often just a small fraction—things the model doesn\u0026rsquo;t know but that influence its behavior.\nThis, in turn, hints at a much bigger change: our understanding of \u0026ldquo;recording\u0026rdquo; may already be outdated.\nIn the past, we took notes to fight forgetfulness.\nThere was too much information to remember, so we stored it. Our understanding wasn\u0026rsquo;t deep enough, so we wrote things down multiple times to reinforce them. Notes were essentially an external hard drive for the brain—an extension of \u0026ldquo;storage capacity.\u0026rdquo;\nBut that premise is now being eroded.\nLarge language models have absorbed the vast majority of general knowledge. The content you once needed to spend time organizing, excerpting, and summarizing, it can generate a decent version of in seconds. If you\u0026rsquo;re still doing the same thing, you\u0026rsquo;re essentially using human effort to replicate what machines do best.\nSo the question is no longer \u0026ldquo;to take notes or not,\u0026rdquo; but \u0026ldquo;what should we still take notes on?\u0026rdquo;\nIf we shift perspective, humans and AI are no longer in a simple tool-user relationship. It\u0026rsquo;s more like a collaborative system. The model handles public knowledge and general reasoning, while humans need to fill in \u0026ldquo;the part it will always miss.\u0026rdquo;\nYour notes, then, essentially become that gap.\nThis is why the agents.md analogy holds up.\nTruly valuable notes are never comprehensive—they are \u0026ldquo;intentionally incomplete.\u0026rdquo; They aren\u0026rsquo;t meant to cover the world, but to define you.\nSpecifically, there are three types of things you must record yourself.\nFirst, your judgments.\nAI can give you ten explanations, but it won\u0026rsquo;t make a choice for you. Why you believe a certain conclusion, under what conditions that conclusion holds—these are highly personal. If they aren\u0026rsquo;t recorded, they\u0026rsquo;ll disappear quickly, and the next time you face the same problem, you\u0026rsquo;ll have to go through the whole process again.\nSecond, your context.\nYour industry, your team\u0026rsquo;s stage, your resource constraints—these factors determine why the same method yields completely different results in different scenarios. The model can offer a \u0026ldquo;general optimal solution,\u0026rdquo; but it can\u0026rsquo;t automatically adapt to your real-world environment.\nWhat\u0026rsquo;s truly reusable isn\u0026rsquo;t the method itself, but \u0026ldquo;the conditions under which this method works.\u0026rdquo;\nThird, your action paths.\nMany people learn a lot but can\u0026rsquo;t apply it. The root cause isn\u0026rsquo;t a lack of understanding, but a failure to translate cognition into action. You know an idea, but you don\u0026rsquo;t know the next step to execute it. There\u0026rsquo;s a missing layer of structure in between.\nAnd this structure is exactly where AI is most likely to \u0026ldquo;seem to understand, but get it wrong.\u0026rdquo;\nIf we apply the logic of agents.md, notes are no longer records of knowledge—they are behavioral constraints.\nIt\u0026rsquo;s not \u0026ldquo;what I know,\u0026rdquo; but \u0026ldquo;under what circumstances, what should I do.\u0026rdquo;\nOnce you adopt this perspective, many traditional note-taking methods can be abandoned outright.\nFor example, extensive copying and pasting—the model already does it better. Or pursuing a complete, systematic framework—few people actually act according to a system in real life. Or meticulous formatting—to AI, that\u0026rsquo;s just noise.\nTruly valuable notes, on the other hand, are concise, incomplete, and even biased. They only record the key variables that influence your decisions, not an attempt to reconstruct all the information.\nAt a higher level, this is essentially redefining \u0026ldquo;learning.\u0026rdquo;\nIn the past, the emphasis was on \u0026ldquo;what to remember.\u0026rdquo; Now, it\u0026rsquo;s more about \u0026ldquo;how to retrieve.\u0026rdquo; You don\u0026rsquo;t need to remember everything, but you need to know when to rely on AI and when to rely on yourself.\nAnd notes are the dividing line between the two.\nThey tell you: what can be outsourced, and what must be internalized.\nFrom a strategic perspective, this ability compounds over time.\nWhen everyone has access to the same model and information asymmetry is nearly gone, the gap no longer comes from \u0026ldquo;how much you know,\u0026rdquo; but from \u0026ldquo;how you use that knowledge.\u0026rdquo; Whoever can convert information into judgment, and then into action, faster, will have higher efficiency.\nThis is why, even with the same AI tools, some people\u0026rsquo;s output diverges more and more.\nThe difference isn\u0026rsquo;t the tool. It\u0026rsquo;s whether they have their own \u0026ldquo;constraint system.\u0026rdquo;\nAnd notes are the most direct carrier of that system.\nOf course, there\u0026rsquo;s a common pitfall here.\nWhen people realize they need to upgrade their note-taking, they often swing to the other extreme—obsessively building systems, workflows, and tools, only to end up with \u0026ldquo;more complex recording.\u0026rdquo;\nThis is just a variation of the same problem: still solving for \u0026ldquo;how to store,\u0026rdquo; not \u0026ldquo;what to store.\u0026rdquo;\nThe real principle is simple.\nIf AI already knows it, you don\u0026rsquo;t need to write it down. If you\u0026rsquo;re not going to use it, you don\u0026rsquo;t need to write it down. Only what will influence your actions is worth keeping.\nBack to the original question.\nShould we still take notes in the AI era?\nYes. But it\u0026rsquo;s no longer about remembering the world. It\u0026rsquo;s about calibrating yourself.\nWhen information is infinitely available, what\u0026rsquo;s truly scarce isn\u0026rsquo;t answers, but the ability to choose which answers matter. Notes are no longer copies of knowledge; they are the externalization of your decision-making process.\nIn a way, it really is like an agents.md file.\nNot written for AI to read, but for \u0026ldquo;future you.\u0026rdquo;\n","date":"2026-04-05","description":"Exploring the shift in note-taking in the AI era: from fighting forgetfulness to constraining behavior, from comprehensive recording to intentional omission, redefining the boundaries of learning and decision-making","permalink":"https://www.kingdeguo.com/en/2026/04/05/taking-notes-in-the-ai-era-is-like-an-agents.md-file/","tags":["AI","Note-Taking Methods","Knowledge Management","Learning Strategies","Decision Systems","Behavioral Constraints","Cognitive Upgrade","Efficiency Improvement"],"title":"Taking Notes in the AI Era Is Like an agents.md File"},{"categories":["Workplace Insights"],"content":"In recent years, a subtle shift has been quietly unfolding within organizations. It\u0026rsquo;s not dramatic or noisy, but once you notice it, it becomes hard to understand teams the old way.\nIn the past, we were used to defining people with \u0026ldquo;nouns.\u0026rdquo;\nProduct manager, engineer, operations, sales—each person corresponded to a position, a set of responsibilities, and a clear boundary. The logic of organizational operation was to break complex problems into standard modules and assign them to different people to complete.\nThis system was extremely effective in the industrial age. Clear division of labor, defined responsibilities, and controllable efficiency. As long as the process was well-designed and people executed step by step, the outcome was likely stable.\nBut the problem is that this logic has an implicit premise: execution costs are high.\nIn other words, every action requires a person to complete it; every adjustment requires re-coordination; every cross-departmental move incurs communication costs. That\u0026rsquo;s why we need \u0026ldquo;positions,\u0026rdquo; \u0026ldquo;boundaries,\u0026rdquo; and \u0026ldquo;processes.\u0026rdquo;\nAnd that premise is now being broken.\nAs AI gradually enters the execution layer, many actions that once required human effort are now being handled directly by systems. Writing documents, performing analysis, generating proposals, and even some decision support are being automated. Execution costs are dropping rapidly—in some scenarios, approaching zero.\nWhen execution is no longer scarce, the logic of division of labor begins to loosen.\nYou\u0026rsquo;ll find that one person can accomplish in a short time what previously required collaboration across multiple roles. Not because they\u0026rsquo;ve become more diligent, but because the system handles a large portion of the intermediate processes. Steps that \u0026ldquo;had to be split apart\u0026rdquo; can now be recombined.\nAt this point, if you still define roles with \u0026ldquo;nouns,\u0026rdquo; problems arise. Because nouns emphasize boundaries, but future organizations need fluidity.\nOne day, a person might be defining a product; the next day, they\u0026rsquo;re analyzing data; the day after, they\u0026rsquo;re contributing to market strategy. If you constrain them with a fixed position, you\u0026rsquo;ll only limit their output potential.\nSo roles begin to shift from \u0026ldquo;what you are\u0026rdquo; to \u0026ldquo;what you do.\u0026rdquo; From nouns to verbs. This isn\u0026rsquo;t just a linguistic change—it\u0026rsquo;s a structural change in organizations.\nWhen roles are verbs, the basic unit of a team is no longer \u0026ldquo;person + position,\u0026rdquo; but \u0026ldquo;person + task flow.\u0026rdquo;\nA person can participate in multiple task flows simultaneously and take on different responsibilities at different stages. The organization is no longer a static structure, but more like a dynamic network.\nThis demands a completely different approach to management. In the past, management focused on assigning responsibilities, controlling processes, and evaluating results. You needed to ensure that each person in their position did their job within their boundaries.\nBut when roles become verbs, management\u0026rsquo;s focus shifts from \u0026ldquo;what are you responsible for\u0026rdquo; to \u0026ldquo;can you enter the right problem at the right time.\u0026rdquo;\nThis sounds more flexible, but it\u0026rsquo;s also harder.\nBecause it demands more from people. You not only need professional skills but also cross-domain understanding; you not only need to execute but also to judge what\u0026rsquo;s worth doing, when to step in, and when to step out.\nAt the same time, it demands more from organizations.\nWithout clear goals and priorities, this fluidity can easily turn into chaos. Everyone is doing many things, but nothing gets truly completed. The more flexible the roles, the more a stable decision-making center is needed.\nFrom a business perspective, this is essentially a restructuring of \u0026ldquo;organizational assets.\u0026rdquo;\nIn the past, an organization\u0026rsquo;s core assets were its position system and process documentation. You designed the processes, placed people in the corresponding positions, and the organization ran steadily.\nUnder the new structure, the real assets shift to two things: whether capabilities can be quickly mobilized, and whether tasks can be efficiently orchestrated.\nIn other words, an organization\u0026rsquo;s competitiveness is no longer just \u0026ldquo;how many people it has,\u0026rdquo; but \u0026ldquo;how these people can be organized.\u0026rdquo;\nThis is why some teams, though small in size, achieve extremely high output. They don\u0026rsquo;t have more complex position systems—they have more efficient task orchestration capabilities. People are fluid, but goals are clear, and resources are dynamically aggregated around those goals.\nBehind this lies an organizational form that is closer to a \u0026ldquo;system.\u0026rdquo;\nPeople are no longer fixed components but more like schedulable nodes. The system, based on the problem at hand, calls upon the capabilities of different nodes, completes the task, and then releases the resources.\nThis sounds ideal, but it also raises a practical question. When roles are no longer fixed, how do individuals establish their place?\nIn the past, you could define yourself with a clear position label, like \u0026ldquo;Senior Product Manager\u0026rdquo; or \u0026ldquo;Backend Architect.\u0026rdquo; This label was both an identity and proof of value.\nBut when organizations stop emphasizing nouns, the significance of such labels gradually diminishes.\nWhat replaces them is \u0026ldquo;what problems have you solved.\u0026rdquo;\nYour value is no longer reflected in your title, but in whether you can step into a critical problem at a critical moment and deliver an effective solution. This kind of value is harder to quantify and harder to fake.\nIt requires you to continuously accumulate real capability, rather than relying on labels.\nIn the long run, this change acts as a filter for both organizations and individuals.\nOrganizations will tend to keep those who can consistently generate value across different tasks, rather than those who are only stable in one fixed position.\nIndividuals, in turn, need to shift from \u0026ldquo;holding a position\u0026rdquo; to \u0026ldquo;continuously entering new problems.\u0026rdquo;\nThis isn\u0026rsquo;t easy, but it\u0026rsquo;s closer to the future of work.\nLet\u0026rsquo;s return to the initial judgment.\nAs execution is gradually taken over by systems, the core of an organization is no longer \u0026ldquo;who is doing it,\u0026rdquo; but \u0026ldquo;how things get done.\u0026rdquo; Roles shifting from nouns to verbs essentially redirects attention from \u0026ldquo;people\u0026rdquo; to \u0026ldquo;behaviors,\u0026rdquo; from \u0026ldquo;positions\u0026rdquo; to \u0026ldquo;processes.\u0026rdquo;\nThis is not a management technique—it\u0026rsquo;s a structural change.\nMany companies haven\u0026rsquo;t fully realized this yet, but the trend is clear. Positions will become increasingly blurred, tasks will become more specific, and capabilities will be increasingly decomposed and mobilized.\nIn the end, whether a team is efficient no longer depends on its org chart, but on its fluidity.\nAnd, at the critical moment, whether someone can step up precisely and do the right thing.\n","date":"2026-03-29","description":"As AI gradually takes over execution layers, the traditional logic of job division is loosening. Team roles are shifting from fixed nouns to dynamic verbs, organizational structures from static positions to task flows—posing new demands on management approaches and how individuals define their value.","permalink":"https://www.kingdeguo.com/en/2026/03/29/in-future-teams-roles-are-verbs-not-nouns/","tags":["Team Management","Organizational Change","AI Era","Role Definition","Task Orchestration","Fluidity"],"title":"In Future Teams, Roles Are Verbs, Not Nouns"},{"categories":["Workplace Insights"],"content":"A while back, I was chatting with a friend who works in business. He was a bit puzzled: his team worked hard and executed well, but many of their decisions always seemed \u0026ldquo;right on the surface, yet the results were wrong.\u0026rdquo; During post-mortems, everyone could offer a rationale, but when you pieced those reasons together, something just felt off.\nI asked him a question: \u0026ldquo;Do you deliberately train your team on how to think?\u0026rdquo;\nHe said, not really. They mostly relied on data, experience, and looking at what others were doing.\nThis is a very common scenario. We spend a huge amount of time on \u0026ldquo;what to do,\u0026rdquo; but very few people systematically train themselves on \u0026ldquo;how to judge.\u0026rdquo; And that\u0026rsquo;s precisely the problem logic is meant to solve.\nBut the reality is, most people\u0026rsquo;s understanding of logic is stuck in their school days. Propositions, reasoning, syllogisms—forgotten right after the exam. It\u0026rsquo;s treated as a piece of knowledge, not a capability.\nThat\u0026rsquo;s why I increasingly feel that logic isn\u0026rsquo;t something you \u0026ldquo;learn once and you\u0026rsquo;re done.\u0026rdquo; It needs to be revisited repeatedly.\nBecause it\u0026rsquo;s not meant to be memorized; it\u0026rsquo;s meant to be used.\nMany people equate logic with \u0026ldquo;formal correctness.\u0026rdquo; As long as the reasoning structure holds, they assume the conclusion is reliable. But in the real world, the problem often isn\u0026rsquo;t the form; it\u0026rsquo;s the premise.\nYou see a conclusion that\u0026rsquo;s persuasive, even logically rigorous. But if its premise itself is wrong, or selectively extracted, then no matter how beautiful the reasoning, it\u0026rsquo;s just amplifying the error.\nThis is incredibly common in business.\nFor example, when growth declines, one person says the product is weak, another says traffic is too expensive, and another blames declining team execution. Each explanation can find supporting data. But the relationship between these explanations isn\u0026rsquo;t simply right or wrong; it\u0026rsquo;s a difference in premise selection.\nThe variables you choose determine the conclusions you get.\nAt this point, the truly important skill isn\u0026rsquo;t \u0026ldquo;reasoning ability,\u0026rdquo; but \u0026ldquo;premise identification ability.\u0026rdquo;\nAnd this is precisely the most overlooked part of logic.\nDigging deeper, many so-called \u0026ldquo;judgments from experience\u0026rdquo; are essentially untested inductions. You succeeded a few times, so you default to that path being correct. You stepped into a few pitfalls, so you default to that action being impossible. But induction itself carries risk; it depends on the sample and a stable environment.\nOnce the environment changes, the old induction becomes invalid.\nThis is why some people, the more experienced they become, the more prone they are to judgment errors. It\u0026rsquo;s not because their ability declines, but because their past inductions no longer hold in the new context.\nThe value of logic here isn\u0026rsquo;t to give you the answer, but to help you distinguish: Is this deduction or induction? Is this causation or correlation? Is this a fact or an interpretation?\nIt sounds basic, but the real challenge is applying it in specific scenarios.\nFor instance, we often mistake \u0026ldquo;correlation\u0026rdquo; for \u0026ldquo;causation.\u0026rdquo; Data goes up, we attribute it to a specific action; data goes down, we dismiss a specific strategy. But often, these changes are merely coincidental, not causal.\nIf you don\u0026rsquo;t deliberately deconstruct this structure, you can easily keep doubling down on a false causal link.\nAnother example: we are easily persuaded by a \u0026ldquo;story.\u0026rdquo; A logically complete, smoothly flowing explanation gives us a strong sense of certainty. But logic reminds you: just because a story makes sense doesn\u0026rsquo;t mean it\u0026rsquo;s true.\nThe real world is far more complex than any story.\nSo you\u0026rsquo;ll find that logic truly trains you not to \u0026ldquo;convince others,\u0026rdquo; but to \u0026ldquo;constrain yourself.\u0026rdquo; It makes you automatically ask a few more questions when making a judgment: Where does this premise come from? Are there any overlooked variables? Does this conclusion depend on specific conditions?\nThese questions won\u0026rsquo;t give you the answer, but they will help you avoid many basic errors.\nFrom a manager\u0026rsquo;s perspective, this is even more critical.\nBecause decision-making is essentially \u0026ldquo;making judgments with incomplete information.\u0026rdquo; You can\u0026rsquo;t wait for all the data to be complete, nor can you exhaust all variables. Often, you have to choose based on limited information.\nIn this context, logical ability isn\u0026rsquo;t a bonus; it\u0026rsquo;s a baseline requirement.\nA team lacking basic logical training is prone to two extremes. One is over-reliance on experience, leading to severe path dependency. The other is over-reliance on data, mistaking correlation for causation and letting metrics replace judgment.\nBoth scenarios are essentially a failure of logic.\nZooming out further, an organization\u0026rsquo;s problem is often not a lack of information, but a failure to connect information correctly. Everyone is telling a part of the truth, but no one is fitting these pieces into a coherent logical framework.\nAs a result, discussions become clashes of opinions, not structural deductions.\nThis is why many high-performing teams repeatedly do something that seems \u0026ldquo;very basic\u0026rdquo;: aligning on definitions, aligning on premises, aligning on reasoning paths.\nIt sounds slow, but in the long run, it\u0026rsquo;s the only way to achieve stable decision-making.\nLet\u0026rsquo;s return to the initial question. Why must logic be revisited repeatedly?\nBecause the environment changes, the problems change, and the information structure you face changes. The judgment path you\u0026rsquo;re comfortable with today might be obsolete in six months. Without continuous calibration, it\u0026rsquo;s easy to go astray while feeling perfectly \u0026ldquo;self-consistent.\u0026rdquo;\nThe value of logic isn\u0026rsquo;t to make you smarter; it\u0026rsquo;s to make you less prone to error.\nAnd in many critical moments, \u0026ldquo;not making mistakes\u0026rdquo; is itself the most important ability.\nSo instead of treating logic as a subject you\u0026rsquo;ve already learned, treat it as a set of tools that needs constant sharpening. Every time you navigate a complex decision, every time you review a failure, you are essentially retraining your own logic.\nThere are no shortcuts.\nBut it will gradually change the way you see problems.\nIn the end, you\u0026rsquo;ll find that many problems are complex not because the world is too difficult, but because we got the initial thinking wrong from the start.\n","date":"2026-03-24","description":"Logic is not a subject you learn once and move on from; it is a skill that requires repeated practice. It helps us identify premises, distinguish deduction from induction, and avoid basic errors in complex decisions, thereby maintaining judgment stability in a changing environment.","permalink":"https://www.kingdeguo.com/en/2026/03/24/logic-a-subject-worth-revisiting/","tags":["logic","decision-making","mental training","induction and deduction","premise identification","correlation vs. causation"],"title":"Logic: A Subject Worth Revisiting"},{"categories":["Tech Reflections"],"content":"I\u0026rsquo;ve been following some of DingTalk\u0026rsquo;s technical evolution recently, and one change has made me think deeply. They aren\u0026rsquo;t simply layering AI on top of their existing system; instead, they\u0026rsquo;re refactoring in a different direction—gradually CLI-fying their capabilities.\nIf you view this purely from a tooling perspective, it\u0026rsquo;s easy to interpret as just a shift in technical choices. But if you zoom out and look at the longer arc, it starts to feel more like a directional bet.\nFor the past two decades, the default user of software has been human. Interfaces, interactions, and workflows have all been designed around reducing the cognitive load for people.\nA GUI is essentially a translation layer—it converts a complex system into a form that can be clicked and understood by humans. But as more and more operations are performed by AI, this translation layer becomes redundant. AI doesn\u0026rsquo;t need an interface, doesn\u0026rsquo;t rely on visuals, and doesn\u0026rsquo;t care about navigation paths. What it needs are deterministic commands, clear parameters, and stable return values. From this perspective, CLI isn\u0026rsquo;t a retro trend; it\u0026rsquo;s an interface migrating toward machines.\nIf you accept this premise, then the significance of DingTalk\u0026rsquo;s move isn\u0026rsquo;t just \u0026ldquo;adding another interaction method.\u0026rdquo; It\u0026rsquo;s about rewriting the invocation logic of software.\nIn the past, we entered a system to complete operations. Now, it\u0026rsquo;s shifting toward invoking a system to complete a task. You no longer care about the specific click path; you express an intent, and the system decomposes it, executes it, and returns the result. Software is transforming from a \u0026ldquo;tool to be used\u0026rdquo; into a \u0026ldquo;capability to be invoked,\u0026rdquo; and the right to invoke is beginning to transfer from humans to AI.\nOnce this lands at the enterprise level, the change is no longer about experience optimization—it\u0026rsquo;s structural reconfiguration.\nPreviously, an organization\u0026rsquo;s capabilities were scattered across processes and roles, requiring humans to trigger and connect them. When people leave or processes change, these capabilities erode. But when these capabilities are broken down into structured commands, a fundamental abstraction occurs: organizational capabilities become interface-ized. Once an interface exists, capabilities are no longer tied to specific individuals; they are precipitated into assets that can be reused, combined, and invoked.\nFrom a business perspective, the implication is direct: enterprises begin to possess true \u0026ldquo;organizational assets.\u0026rdquo; In the past, many so-called capabilities were essentially built on human effort and were non-reusable. Once interface-ized, they become capability units that can be continuously amplified. Capabilities that cannot be invoked will quickly lose relevance; capabilities that cannot be reused will struggle to achieve economies of scale. The focus of competition shifts from \u0026ldquo;who does more\u0026rdquo; to \u0026ldquo;whose capabilities are easier to invoke.\u0026rdquo;\nIf you map this change to the content domain, the same migration is already happening. Our traditional understanding of UGC was people producing content piece by piece. Creation was the core action; tools were just aids. But when content generation becomes intent-based, the situation changes. People no longer write from scratch; they define the direction, set the constraints, and let the system execute the specific generation. Taking it a step further, when generation, formatting, and distribution can all be invoked, content itself is no longer a \u0026ldquo;work\u0026rdquo; but more like an execution result.\nAt this point, the meaning of UGC is also evolving. It\u0026rsquo;s no longer just \u0026ldquo;User Generated Content\u0026rdquo;; it\u0026rsquo;s closer to \u0026ldquo;User Defined Content Production.\u0026rdquo; The center of gravity for creation shifts from writing content to designing the logic of how content is produced. From this angle, CLI isn\u0026rsquo;t a technical detail; it\u0026rsquo;s the foundational prerequisite for making \u0026ldquo;content production workflows orchestratable.\u0026rdquo; Only when capabilities are structured and invocable can creation be systematized; otherwise, everything remains at the level of manual operation.\nBut it\u0026rsquo;s insufficient to see this only in terms of efficiency. The more significant change is that when execution is taken over by systems, the logic of organizational division of labor gets rewritten. In the past, companies improved efficiency through division of labor, with each person responsible for a segment of the process. Now, the execution layer is gradually being abstracted away, and systems begin to handle most of the actions. People are no longer divided by \u0026ldquo;what they do,\u0026rdquo; but stratified by \u0026ldquo;what they define\u0026rdquo; and \u0026ldquo;what they choose.\u0026rdquo; Execution will become increasingly standardized; judgment will become increasingly concentrated.\nThis is why, in an environment of seemingly increasing automation, human value becomes more \u0026ldquo;scarce.\u0026rdquo; Not because humans do more, but because the part humans are responsible for is increasingly difficult to replace. When everyone can invoke the same system, the same capabilities, and the same workflows, results easily converge. The real differentiator isn\u0026rsquo;t execution efficiency; it\u0026rsquo;s the difference in judgment.\nFrom a manager\u0026rsquo;s perspective, the questions this raises are more important than the answers. You need to start re-examining two things. First, have your core capabilities been structured? If they can\u0026rsquo;t be invoked, they can\u0026rsquo;t be amplified. Second, within your organization, what are you deliberately not process-ifying? These parts are often your true moat.\nDingTalk\u0026rsquo;s embrace of CLI might look like just a technical path choice, but underneath, it\u0026rsquo;s betting on a larger thesis: Future software isn\u0026rsquo;t just for people; it\u0026rsquo;s also for AI. Future enterprises aren\u0026rsquo;t just about organizing resources; they are capability interfaces. Future competition isn\u0026rsquo;t just about efficiency; it\u0026rsquo;s about invocability.\nIf this thesis is correct, then UGC, enterprise software, and even the form of organizations themselves will be redefined.\nThe change won\u0026rsquo;t happen overnight, but the direction is clear. From humans operating systems, to systems executing intent, to capabilities being freely invoked—once this path is proven viable, many structures that rely on human maintenance will become fragile.\nIn the end, the question becomes very simple. When everything can be executed, what, in your organization, must still be decided by you?\n","date":"2026-03-22","description":"Examining the migration of software interfaces through DingTalk's shift to CLI, exploring the evolving meaning of UGC, the interface-ization of organizational capabilities, and the key to future competition","permalink":"https://www.kingdeguo.com/en/2026/03/22/rethinking-ugc-and-dingtalks-embrace-of-cli/","tags":["UGC","CLI","DingTalk","AI","Organizational Change","Digital Transformation","Tech Trends","Interface-ization","Organizational Assets"],"title":"Rethinking UGC and DingTalk's Embrace of CLI"},{"categories":["Workplace Insights","Management Practices"],"content":"Today is the third day of the Lunar New Year. When the pace slows down, it\u0026rsquo;s easier to notice things we usually overlook.\nThis morning, I came across a post from an entrepreneur friend lamenting: the team has optimized everything possible—processes refined to the extreme, conversion rates broken down to two decimal places—yet growth remains stagnant.\nIt reminded me of a phrase I encountered recently: structural trends always trump operational advantages.\nIn recent years, we\u0026rsquo;ve become overly obsessed with operations.\nConversion rates, retention rates, repeat purchases, private domain traffic, process efficiency—every link can be dissected, optimized, and quantified. Operations are a trainable skill, a variable that improves with effort, so we naturally believe: as long as execution is good enough, results will improve.\nBut a harsher truth is that operations solve efficiency problems, not space problems.\nEfficiency determines how much you can capture within an existing space; structure determines how large that space is in the first place.\nStructure refers to those more macro yet decisive variables: technological conditions, demographics, distribution logic, user mindset, and cost curves. Together, they determine whether something has scalability.\nWhen the structure is on an upward trend, demand expands, costs fall, resources flow in, and the margin for error increases. Even average execution can be amplified into rapid growth.\nWhen the structure is on a downward trend, demand saturates, costs rise, substitutes emerge, and competition intensifies. No matter how refined the operations, you\u0026rsquo;re just fighting over a shrinking pie.\nThis is why many companies seem \u0026ldquo;invincible\u0026rdquo; during their growth phase, struggle as they mature, and eventually decline.\nWe tend to attribute all of this to management issues, organizational problems, or execution failures. But often, the real answer is: the structural space has shifted.\nE-commerce during platform expansion, short videos during the distribution dividend era, live streaming during the traffic spillover phase—these are all structural opportunities. They aren\u0026rsquo;t purely operational victories; the trend is carrying you forward.\nOperations are important, but they act more as an amplifier than an engine.\nOn the same upward trend, operations determine who runs faster. When the trend shifts, structure determines whether the path is still worth running.\nWe overestimate operations because they are controllable variables. Metrics can be set, processes optimized, teams motivated. Effort is certain; trends are not. Humans naturally gravitate toward a sense of control.\nBut business has never been determined solely by controllable variables.\nA truly rational judgment is to first assess the structure, then talk about operations. When growth becomes unusually difficult, rather than constantly increasing intensity, first determine whether the space is shrinking.\nInstead of optimizing to the limit within a shrinking structure, consider whether a structural shift is needed.\nUnderstanding that \u0026ldquo;structural trends always trump operational advantages\u0026rdquo; is not about denying effort—it\u0026rsquo;s about prioritizing effort.\nFirst, assess the trend, then allocate resources. First, confirm the space, then pursue efficiency.\nOperations determine efficiency; structure determines boundaries.\nIf the boundary doesn\u0026rsquo;t exist, even the highest efficiency only means hitting the ceiling faster.\n","date":"2026-02-19","description":"Operations solve efficiency problems, not space problems. Efficiency determines how much you can capture within an existing space; structure determines how large that space is in the first place.","permalink":"https://www.kingdeguo.com/en/2026/02/19/structural-trends-always-trump-operational-advantages/","tags":["structural trends","operational advantages","business thinking","strategic decision-making","growth strategies","efficiency optimization","spatial boundaries","trend assessment"],"title":"Structural Trends Always Trump Operational Advantages"},{"categories":["Tech Reflections","Workplace Insights"],"content":"Last night, watching the Spring Festival Gala, I saw a dense row of robots standing on stage—dancing, turning, syncing to the beat, their movements more precise than many human performers.\nIn the past, when we saw robots in the news, they were mostly on factory assembly lines—welding,搬运, assembling. Now, they stand center stage, facing a national audience, becoming part of the show.\nFor a moment, I felt a bit dazed.\nNot because the robots danced so well, but because I suddenly realized something: years ago, when we talked about \u0026ldquo;automation,\u0026rdquo; it was to make people\u0026rsquo;s lives easier. But today, when we talk about automation again, its true endpoint is actually—unmanned operation.\nThis isn\u0026rsquo;t a sensational claim, but a path we\u0026rsquo;ve been walking for over two hundred years.\nDuring the First Industrial Revolution, the steam engine replaced human muscle. A machine that once required a dozen people to pull could now be handled by a single steam engine. Back then, the anxiety was, \u0026ldquo;Will manual labor disappear?\u0026rdquo; Then came electricity, then the assembly line—Ford\u0026rsquo;s standardized production turned people into part of the process. Later, in the information age, ERP, CRM, and automation systems emerged, and managers began pursuing \u0026ldquo;process standardization and data visualization.\u0026rdquo;\nEvery technological advance, on the surface, is about efficiency. But at its core, it\u0026rsquo;s always doing one thing: reducing dependence on people.\nYou can understand this as a simple logic in management—people are the most unstable variable. They get tired, get sick, get emotional, quit, and ask for raises. Machines don\u0026rsquo;t.\nSo from a boss\u0026rsquo;s perspective, the core of automation isn\u0026rsquo;t \u0026ldquo;cool\u0026rdquo; or \u0026ldquo;flashy\u0026rdquo;—it\u0026rsquo;s two words: certainty.\nWhat does certainty mean? It means predictable costs, predictable output, and controllable risk. You don\u0026rsquo;t have to worry every day about a key person suddenly leaving, or about a mistake in some process due to human error. Once the system is built, it runs steadily.\nIn the past, we said, \u0026ldquo;People are a company\u0026rsquo;s most important asset.\u0026rdquo; That\u0026rsquo;s emotionally true, but from a business logic standpoint, it\u0026rsquo;s not entirely accurate. More precisely, people are the most important creative asset. But at the execution level, companies are always looking for ways to minimize the parts that \u0026ldquo;must rely on people.\u0026rdquo;\nWhy do I feel so strongly about this issue right now?\nBecause this wave of AI—especially large language models and AI-assisted programming—is no longer just optimizing processes. It\u0026rsquo;s beginning to touch the boundaries of \u0026ldquo;knowledge work.\u0026rdquo; In the past, automation replaced physical labor. Now, it\u0026rsquo;s starting to replace some cognitive labor.\nYou\u0026rsquo;ll notice a phenomenon: many companies are no longer rushing to hire. Instead, they first ask, \u0026ldquo;Can this be solved with AI? Can we restructure the process so the system runs itself? Can we even design it from the start to be \u0026lsquo;unattended\u0026rsquo;?\u0026rdquo;\nThis is different from the \u0026ldquo;internet thinking\u0026rdquo; of ten years ago. Back then, we talked about connections, traffic, and platforms. Now, we talk about models, data, computing power, and agents. The core change is that machines are no longer just executing clear instructions—they\u0026rsquo;ve begun to possess a certain degree of \u0026ldquo;judgment ability.\u0026rdquo;\nThis makes \u0026ldquo;unmanned operation\u0026rdquo; logically feasible for the first time.\nOf course, there\u0026rsquo;s an easily misunderstood point here. Unmanned operation doesn\u0026rsquo;t mean \u0026ldquo;no people at all.\u0026rdquo; It means \u0026ldquo;the system\u0026rsquo;s operation no longer depends on specific individuals.\u0026rdquo; People are more like designers, rule-makers, and boundary managers, rather than daily executors.\nIf a system hasn\u0026rsquo;t been changed in three months, it\u0026rsquo;s not because \u0026ldquo;no one is working,\u0026rdquo; but because it was designed to require minimal human intervention. However, when the environment or requirements change, people still need to step in. The difference is that people have shifted from being \u0026ldquo;cogs in the machine\u0026rdquo; to being \u0026ldquo;architects.\u0026rdquo;\nBehind this is actually a logic similar to what Drucker described as \u0026ldquo;making knowledge workers productive\u0026rdquo;—the truly valuable thing is the ability to define problems and restructure processes, not to execute repeatedly.\nSo when I say, \u0026ldquo;The ultimate destination of automation is unmanned operation,\u0026rdquo; I\u0026rsquo;m not advocating for layoffs or stoking anxiety. I\u0026rsquo;m acknowledging a trend: the ultimate form of an enterprise will inevitably be a highly systematized, low-labor-dependent organization.\nFrom a boss\u0026rsquo;s perspective, this is an almost irresistible direction.\nIf your competitor can produce more stable products with fewer people and offer lower-cost services, it\u0026rsquo;s hard to insist, \u0026ldquo;We just need more people.\u0026rdquo; The market will make that choice for you.\nSo what about people?\nMy own thinking is that what will truly be scarce in the future is not \u0026ldquo;people who can work,\u0026rdquo; but \u0026ldquo;people who can design unmanned systems.\u0026rdquo; Not \u0026ldquo;people who can write code,\u0026rdquo; but \u0026ldquo;people who can define problems, break down tasks, and orchestrate collaboration between AI and humans.\u0026rdquo;\nThe endpoint of automation is unmanned operation, but the starting point of unmanned operation is a higher-order human.\nThis is also the direction I\u0026rsquo;ve been thinking about and adjusting toward recently. Inside our company, we ask ourselves: Which things must be done by people? Which are historical baggage? Which are done out of habit, not necessity? Can we design our business from the start to be \u0026ldquo;unmanned by default\u0026rdquo;?\nThis isn\u0026rsquo;t cold-heartedness. It\u0026rsquo;s a form of long-termism.\nBecause only when the system is stable enough and self-driving enough can people be freed from tedious tasks to do truly value-creating work. Otherwise, we\u0026rsquo;re forever trapped in daily operations, running ourselves ragged.\nThe robots at last night\u0026rsquo;s Spring Festival Gala were just a symbol.\nWhat\u0026rsquo;s truly worth paying attention to isn\u0026rsquo;t how well they danced, but the very fact that they appeared on that stage. It means machines are no longer just backstage tools—they\u0026rsquo;re stepping into the spotlight, becoming part of how society operates.\nThis path of automation won\u0026rsquo;t stop. And it won\u0026rsquo;t reverse.\nThe question has never been, \u0026ldquo;Should we go unmanned?\u0026rdquo; It\u0026rsquo;s, \u0026ldquo;Will you be eliminated by unmanned operation, or will you participate in building the unmanned system?\u0026rdquo;\nFor me, the answer is already clear.\n","date":"2026-02-17","description":"From Spring Festival Gala robots to AI-assisted programming, automation is no longer just about optimizing processes—it's beginning to touch the boundaries of knowledge work. The ultimate form of an enterprise will inevitably be a highly systematized, low-labor-dependent organization.","permalink":"https://www.kingdeguo.com/en/2026/02/17/the-ultimate-destination-of-automation-is-unmanned-operation/","tags":["automation","unmanned operation","AI","organizational change","future of work","certainty","systems thinking","technology management"],"title":"The Ultimate Destination of Automation is Unmanned Operation"},{"categories":["Workplace Insights"],"content":"In software engineering, there is a phrase that has been repeatedly validated and cited: any complex problem can be solved by adding another layer of abstraction.\nThis saying has endured because it holds true in countless real-world scenarios. Modularization, layered architecture, interfaces, and platformization are all practical manifestations of this principle.\nFor a long time, I believed in this logic without question. When a system got complex, I abstracted; when boundaries blurred, I added a layer; when changes came frequently, I wrapped it in yet another layer. Each abstraction brought a short-term sense of certainty: the structure became clearer, responsibilities more defined, and complexity seemed to be \u0026ldquo;tamed.\u0026rdquo;\nIt wasn\u0026rsquo;t until later that I gradually realized the real problem is often not insufficient abstraction, but uncontrolled abstraction.\nThe system didn\u0026rsquo;t truly become simpler by adding layers; complexity was merely distributed, shifted, and hidden across more places. Each layer looked reasonable on its own, but the whole became increasingly difficult to understand, maintain, and evolve. That\u0026rsquo;s when I started questioning myself: Were we really solving complexity, or were we using abstraction to postpone facing it?\nThe shift didn\u0026rsquo;t come from a single failure, but from a renewed understanding of the concept of \u0026ldquo;abstraction layers\u0026rdquo; itself.\nMy default assumption used to be that abstraction is a capability you can keep stacking. If a problem is complex, abstract it up another level; if it\u0026rsquo;s still complex, keep going. This process seemed to have no natural endpoint—as long as you were willing, you could always find a higher-level concept to wrap around the current problem.\nBut over time, I realized that the real key isn\u0026rsquo;t \u0026ldquo;whether you can add another layer,\u0026rdquo; but whether you have defined the boundaries of your abstraction layers.\nIt was here that my perspective fundamentally changed. The core isn\u0026rsquo;t about adding abstraction; it\u0026rsquo;s about defining one layer. By \u0026ldquo;one layer,\u0026rdquo; I don\u0026rsquo;t mean a literal single-layer structure, but a deliberately limited, finite hierarchy of layers.\nEncapsulation and shielding only truly work when the number of abstraction layers is finite. If the hierarchy itself is open-ended and infinitely stackable, then so-called \u0026ldquo;hiding details\u0026rdquo; often just moves details from one place to another.\nFrom a methodological standpoint, these are two completely different paths for handling complexity. One path fights complexity by endlessly adding abstractions, hoping that standing high enough will let you see everything clearly. The other path tames complexity by limiting abstraction layers, forcing yourself to make clear and difficult trade-offs within a finite set of layers.\nThe former relies more on cleverness; the latter relies more on restraint.\nAnd what\u0026rsquo;s truly difficult is the latter. Because it forces you to confront some unavoidable questions from the very beginning of the design: Which changes are worth absorbing into the system? Which changes must be exposed to the upper layers? Which uncertainties are the system\u0026rsquo;s responsibility, and which should be left to the user or the business? These questions cannot be postponed by \u0026ldquo;adding another layer.\u0026rdquo;\nWhen you truly define a core layer, abstraction begins to carry weight.\nThis layer typically contains the fewest concepts but bears the most important commitments. It doesn\u0026rsquo;t aim to cover every scenario; it aims for long-term stability. It doesn\u0026rsquo;t pursue extreme flexibility; it provides clear boundaries. Below this layer, rapid evolution is allowed; above this layer, free combination of strategies is permitted. But this layer itself must be restrained enough, and firm enough.\nOver time, I became increasingly convinced: The purpose of abstraction is never to hide complexity, but to constrain it.\nYou don\u0026rsquo;t understand a problem because you abstract it; you abstract it because you already understand the problem well enough to know at which layer to abstract, and at which layer to stop.\nSo, the next time we quote that classic saying, perhaps we should mentally add a premise: Any complex problem can indeed be solved by adding another layer of abstraction—provided you are clear that this layer is the last one.\nA mature methodology isn\u0026rsquo;t about constantly adding more; it\u0026rsquo;s about knowing when to stop. It\u0026rsquo;s not about pursuing perfection in every layer, but about pursuing long-term comprehensibility and structural stability that can evolve.\nIn the end, my conclusion turned out to be quite simple: Adding a layer of abstraction is not difficult. What is truly difficult is stopping clearly and firmly at the right place.\n","date":"2026-02-06","description":"In software engineering, abstraction is a common tool for managing complexity, but what truly matters is not endlessly stacking abstraction layers, but consciously defining and limiting the boundaries of those layers.","permalink":"https://www.kingdeguo.com/en/2026/02/06/add-a-layer-of-abstraction-but-the-core-is-just-one-layer/","tags":["Software Engineering","Abstraction","Architecture Design","Complexity Management","Systems Thinking"],"title":"Add a Layer of Abstraction, But the Core Is Just One Layer"},{"categories":["Workplace Insights"],"content":"The first time I truly realized something was wrong with the organization wasn\u0026rsquo;t because of low efficiency, but because time had started to feel fragmented.\nIn traditional management contexts, we hold a nearly naive assumption about time: if a task requires eight hours, that means one working day. So plans, schedules, and performance goals are all built around this assumption.\nBut the reality is that for most people, the truly continuous, uninterrupted working time in a day might not even add up to two hours. Meetings, messages, ad-hoc coordination, layers of approvals—these stretch an \u0026ldquo;eight-hour task\u0026rdquo; into two days or even longer.\nBack then, we tended to blame the individual: lack of focus, poor self-management, insufficient execution.\nIt wasn\u0026rsquo;t until AI, especially AI agents, began entering real workflows that I realized the problem was never about \u0026ldquo;people not working hard enough.\u0026rdquo; It was that we had designed an organizational system highly dependent on interruptions.\nThe first shock of AI wasn\u0026rsquo;t how smart it was, but that it hardly ever gets interrupted. When an AI agent executes a task, it isn\u0026rsquo;t interrupted by meetings, nor does it need to frequently switch context between different roles. It can continuously and steadily advance a complete line of thinking. Once this becomes apparent, it creates an uncomfortable contrast for managers: it turns out that much of what we considered normal \u0026ldquo;busyness\u0026rdquo; is merely a byproduct of interruptions.\nOver time, I realized that AI brings not just continuity, but a redefinition of \u0026ldquo;speed.\u0026rdquo; AI works fast, not simply because of raw computing power or model capability, but because it naturally operates in a low-interruption environment. When a task that originally required eight hours can be completed with almost no interruptions, the compression of time is no longer linear—it\u0026rsquo;s structural. This forces organizations to rethink: are we creating time for work, or are we constantly consuming it?\nAn even more profound change is \u0026ldquo;parallelism.\u0026rdquo; In the human world, parallelism has long been a pseudo-parallelism: high-cost context switching leads to low efficiency, more errors, and degraded decision quality. AI agents, by contrast, are inherently parallel. They can advance multiple task streams simultaneously, with humans only stepping in for judgment at critical nodes.\nThis made me realize that the long-standing bottleneck roles in organizations are essentially shaped by humans\u0026rsquo; limited capacity for parallel processing. Once that parallel capacity is unleashed, many traditional organizational structures and management logics begin to seem redundant.\nFrom the perspective of organizational evolution, this all makes sense. Any system facing higher-dimensional environmental complexity must enhance its parallel processing capability and overall coordination mechanisms to remain truly competitive.\nAI\u0026rsquo;s parallel capability allows organizations to leap from hierarchical control to intelligent collaboration. Cognitive pathways no longer rely on serial decision-making but instead generate in parallel and converge rapidly. This is a fundamental shift in organizational structure—a transition from a \u0026ldquo;human-led serial system\u0026rdquo; to a \u0026ldquo;cognitive-flow-driven parallel ecosystem.\u0026rdquo;\nThis shift also means a migration in the role of managers. In the past, our focus was on how to make people work faster. Now, the challenge is how to help the organization reduce interruptions, achieve efficient parallelism, and ensure that outcomes can be integrated and evaluated.\nThis isn\u0026rsquo;t just a tool issue—it\u0026rsquo;s a question of organizational adaptability: processes, data, knowledge sharing, and decision boundaries all need to be redesigned.\nFor example, we once had AI generate three market strategies in parallel while simultaneously conducting user research and data analysis. In the traditional model, this would have taken five people five days. AI delivered a complete set of options within a single day. Humans could then focus their energy on strategic judgment, value trade-offs, and directional decisions, rather than repetitive execution and data processing. The efficiency gain is just the surface; the deeper value lies in freeing up human cognitive space.\nUltimately, the organizational transformation in the AI era, as I understand it, is not a simple technology upgrade. It is a deep reflection on time, organization, and people. Reducing interruptions isn\u0026rsquo;t just about efficiency; speed isn\u0026rsquo;t just about velocity; parallelism isn\u0026rsquo;t just for show. Together, they point to a new organizational assumption: let machines handle continuous, stable, and parallel workflows, and let humans return to where genuine human judgment is needed.\nPerhaps, looking back in the future, we\u0026rsquo;ll realize that the explosion of AI agents wasn\u0026rsquo;t because they were so cutting-edge, but because they forced managers to confront a long-overlooked issue: what has been holding organizations back is never that people aren\u0026rsquo;t working hard enough, but that we have become too accustomed to a world shaped by interruptions. And real transformation often begins with that uncomfortable realization.\n","date":"2026-02-01","description":"Exploring the key characteristics of organizational transformation in the AI era: reducing interruptions, increasing speed, and enabling parallel processing, along with the fundamental changes this brings to organizational structure and management approaches","permalink":"https://www.kingdeguo.com/en/2026/02/01/key-characteristics-of-organizational-transformation-in-the-ai-era-reducing-interruptions-speed-and-parallelism/","tags":["AI","Organizational Transformation","Efficiency","Parallel Processing","Interruption Management","Organizational Management","Cognitive Flow"],"title":"Key Characteristics of Organizational Transformation in the AI Era: Reducing Interruptions, Speed, and Parallelism"},{"categories":["Workplace Insights"],"content":"In today\u0026rsquo;s organizational governance and business management, \u0026ldquo;transparency\u0026rdquo; and \u0026ldquo;confidentiality compliance\u0026rdquo; are often mistakenly seen as natural opposites.\nSome worry that emphasizing transparency will weaken competitive advantage, while an exclusive focus on confidentiality can breed information asymmetry, internal suspicion, and execution inefficiency.\nIn reality, this is not an either-or choice. Mature organizations find a stable and replicable balance between the two, treating transparency as a governance capability and confidentiality as a strategic capability.\nThe core value of transparency is not about \u0026ldquo;saying everything,\u0026rdquo; but about \u0026ldquo;clearly communicating what needs to be said.\u0026rdquo; Within a company, transparency is first and foremost a management contract. Employees need to understand the organization\u0026rsquo;s direction, decision-making logic, and basic rules to form stable expectations and reduce internal friction. When strategic goals, performance standards, and decision-making principles are clearly articulated, the cost of coordination drops significantly, and execution efficiency actually improves. Here, transparency is not emotional confession, but structured information supply.\nAt the same time, a company\u0026rsquo;s confidentiality rules are not about creating mystique, but about protecting the organization\u0026rsquo;s long-term interests. Trade secrets, customer data, and undisclosed strategic plans are the \u0026ldquo;moats\u0026rdquo; of a business in a competitive environment. If such information is freely disseminated, it may temporarily satisfy the \u0026ldquo;right to know,\u0026rdquo; but in the long run, it can harm the company and even employees\u0026rsquo; own interests. A truly professional confidentiality system aims not to restrict discussion, but to define boundaries: which information can be widely understood, and which must be tightly controlled.\nThe crux of the issue lies in distinguishing between \u0026ldquo;the object of transparency\u0026rdquo; and \u0026ldquo;the level of transparency.\u0026rdquo; Internal transparency emphasizes principles, logic, and direction; external transparency emphasizes compliant disclosure and consistent messaging.\nNot everyone needs access to the same depth of information, but everyone should understand what is relevant to their responsibilities. This layered transparency respects role differences while avoiding information overload or misuse.\nIn practice, transparency and confidentiality rules are not in conflict—they can reinforce each other. Clear confidentiality boundaries make employees more comfortable participating in discussions, because they know what can be openly shared and what requires caution. Meanwhile, a stable and predictable transparency mechanism reduces \u0026ldquo;grapevine\u0026rdquo; rumors and a culture of speculation, lowering the risks created by information vacuums. The clearer the rules, the lower the trust cost.\nFrom a governance perspective, the most dangerous state is not \u0026ldquo;too little information\u0026rdquo; or \u0026ldquo;too much information,\u0026rdquo; but ambiguous rules. Ambiguity forces employees to rely on personal judgment, ultimately leading to inconsistent standards and unclear accountability. In contrast, institutionalizing and proceduralizing both transparency and confidentiality actually unleashes organizational initiative. People no longer need to constantly test boundaries, and can instead focus their energy on creating value.\nUltimately, being transparent while complying with the company\u0026rsquo;s confidentiality rules is not just a slogan—it is a mark of management maturity. It requires restraint in communication, foresight in design, and consistency in execution from leadership. When an organization can achieve \u0026ldquo;orderly information flow and principled protection of secrets,\u0026rdquo; transparency ceases to be a risk, confidentiality ceases to be a hindrance, and together they become part of the company\u0026rsquo;s long-term competitive edge.\n","date":"2026-01-31","description":"Exploring how to balance transparency and confidentiality compliance in organizational governance, treating transparency as a governance capability and confidentiality as a strategic capability, finding a stable equilibrium between the two","permalink":"https://www.kingdeguo.com/en/2026/01/31/being-transparent-while-complying-with-confidentiality-rules/","tags":["Organizational Governance","Confidentiality Rules","Transparency","Business Management","Information Management","Organizational Culture"],"title":"Being Transparent While Complying with Confidentiality Rules"},{"categories":["Technology","Management"],"content":"In traditional systems, we have a natural sense of security about \u0026ldquo;predictable outcomes.\u0026rdquo;\nRules may be complex, but they are always rules: what the input is, what judgments are made along the way, and what the final output will be—these can largely be enumerated, traced back, and explained. Business stakeholders have a clear picture, and technical teams can provide a safety net. The system may not be smart, but it is \u0026ldquo;transparent.\u0026rdquo;\nWhen large models enter an organization, this sense of security begins to erode. Not because they don\u0026rsquo;t work, but because they \u0026ldquo;seem capable of doing everything, yet can\u0026rsquo;t explain why they do it.\u0026rdquo; The same input may yield slightly different outputs; the same task may produce different judgments depending on the context. This instability isn\u0026rsquo;t necessarily a bad thing, but it breaks an organization\u0026rsquo;s core expectation of a system: predictability.\nThus, the value of AI evaluation lies not in \u0026ldquo;scoring models,\u0026rdquo; but in pulling this uncertainty back into a realm that can be perceived, discussed, and managed.\nEvaluation isn\u0026rsquo;t about proving how smart a model is; it\u0026rsquo;s about answering a more practical question: Within the boundaries we set, how will it behave? Is its performance stable? And is that stability sufficient to support business use?\nFrom this perspective, evaluation does something quite simple—it breaks down the black box into a white box that the organization can understand. Even if we can\u0026rsquo;t fully explain the model\u0026rsquo;s internal reasoning paths, we can at least use systematic evaluation to let the team know under what conditions it is reliable and under what conditions it will deviate from expectations. It\u0026rsquo;s not about \u0026ldquo;trusting AI or not,\u0026rdquo; but about \u0026ldquo;to what extent to trust it, and in which scenarios.\u0026rdquo;\nThis also explains a point that is often misunderstood: In most organizations, AI is not a \u0026ldquo;decision-maker,\u0026rdquo; but more like a constrained laborer. It does make value judgments during execution, but these judgments occur within pre-set rules, goals, and evaluation frameworks. The purpose of evaluation is precisely to ensure that these judgments always stay within the fence.\nIf AI is treated merely as a pure tool—for generating drafts, organizing information, or improving efficiency—then the demands on evaluation are not particularly high. Occasional instability or deviation is just a loss of efficiency. But once AI is introduced into positions closer to decision-making—such as influencing approvals, recommending paths, or allocating resources—the game changes entirely. At that point, evaluation is no longer a means of \u0026ldquo;optimizing experience,\u0026rdquo; but a ticket into the organization\u0026rsquo;s decision-making system.\nIn this sense, AI evaluation is not about limiting innovation, but about creating the conditions for large-scale adoption. Without evaluation, AI can only remain at the level of a personal tool; with evaluation, it has the potential to become an organizational capability. The former relies on individual judgment, the latter on consensus, and the prerequisite for consensus is always a stable, repeatedly verifiable performance.\nSo, while this may look like \u0026ldquo;putting shackles on AI,\u0026rdquo; it is actually about preserving the organization\u0026rsquo;s control over the system. It\u0026rsquo;s not about letting the model think for us, but about ensuring that when it works for us, we always know roughly how it will work, where it might go wrong, and who is responsible when it does.\nWhen the black box is gradually illuminated, AI ceases to be an unsettling amplifier of capability and becomes a trustworthy, dependable infrastructure that can be integrated into processes. That is the true role of AI evaluation.\n","date":"2026-01-25","description":"The value of AI evaluation lies not in 'scoring models,' but in pulling uncertainty back into a realm that can be perceived, discussed, and managed. At its core, evaluation does something quite simple—it breaks down the black box into a white box that the organization can understand.","permalink":"https://www.kingdeguo.com/en/2026/01/25/using-evaluation-to-bring-large-models-from-the-black-box-back-to-the-rational-boundaries-of-an-organization/","tags":["AI","Large Models","Evaluation","Organization","Management","Technology"],"title":"Using Evaluation to Bring Large Models from the Black Box Back to the Rational Boundaries of an Organization"},{"categories":["Reflections","Team Collaboration"],"content":"Looking back years later, I’ve become increasingly convinced of one thing: most management decision failures are not due to a lack of judgment, but because we debated what is \u0026ldquo;right\u0026rdquo; at the wrong level.\nWithin a company, what \u0026ldquo;looks right\u0026rdquo; typically forms a complete logical loop. It stands on high-level concepts like long-term value, strategic alignment, user experience, and organizational health—each of which is hard to refute on its own. More importantly, it can be clearly articulated, understood by most people, and recorded in PPTs and post-mortem documents.\nBut the real problem is this: organizations don’t operate on logic alone; they operate within constraints.\nCash flow, timing windows, organizational capabilities, the maturity of key roles, and the intensity of external competition—these variables don’t automatically yield just because your \u0026ldquo;direction is right.\u0026rdquo; They exist like gravity: unreasonable, yet they determine the trajectory of motion.\nAnd so, the \u0026ldquo;thing you have to do\u0026rdquo; emerges.\nIt’s usually incomplete, inelegant, and even wrong in isolated aspects. It might sacrifice experience for efficiency, long-term structure for short-term certainty, or consistency for survival odds. You know it’s not the ideal solution, but you also know that if you don’t do it, the system will collapse elsewhere first.\nWhat truly torments you is that these two types of judgments don’t occur in different people—they happen simultaneously in the same manager’s mind.\nYou can see the ideal path, and you can also feel the pressure of reality. This isn’t information asymmetry; it’s cognitive conflict.\nWhen experience is shallow, people often use \u0026ldquo;what looks right\u0026rdquo; to counter anxiety. It’s explainable, it’s agreeable, and it’s easier to gain organizational support. Even if the outcome is poor, it can be attributed to execution issues, environmental factors, or bad luck.\nBut once you enter truly complex territory, you realize that some decisions, once they become \u0026ldquo;things you have to do,\u0026rdquo; leave no room for retreat. It’s not a direction you actively choose; it’s where the system pushes you.\nHere’s a crucial, rarely articulated truth:\nThe essence of management decisions is not value selection, but system stability selection.\nWhen the system is stable, you can discuss values, principles, and ideal states. When the system begins to destabilize, all discussions automatically degrade into \u0026ldquo;how to avoid collapse.\u0026rdquo;\nMany decisions that seem to \u0026ldquo;betray original intentions\u0026rdquo; are not driven by shortsightedness, but by an intuitive grasp of the system’s fragile points. This kind of judgment, however, often cannot be fully expressed—it can only be acted upon.\nWhat’s truly dangerous is not doing what you have to do, but losing the ability to define what that decision truly was after the fact.\nOnce you start justifying a short-term expedient with long-term logic, or packaging a risk hedge in strategic language, that boundary is erased. The organization then quietly drifts from \u0026ldquo;temporary deviation\u0026rdquo; to \u0026ldquo;path dependency.\u0026rdquo;\nThis is where many companies truly go astray: not by making mistakes, but by misjudging the nature of those mistakes.\nMature managers often keep a \u0026ldquo;real ledger\u0026rdquo; internally. Externally, they can offer a sufficiently respectable narrative. Internally, they must clearly know: this step is a patch, not a direction; a buffer, not an upgrade; a means to survive, not a proof that we were right.\nYou’ll notice that truly effective managers rarely indulge in proving the correctness of their judgments. They care more about this: will this decision change how the organization makes decisions in the future?\nIf one \u0026ldquo;thing you have to do\u0026rdquo; makes the team mistakenly believe it’s a new paradigm; if one emergency fix is replicated as a success story—then the true cost of that decision far exceeds the benefits initially seen.\nSo, what we call \u0026ldquo;clarity\u0026rdquo; is not about always sticking to what looks right, but about maintaining a reverence for long-term structure even when forced to compromise.\nYou can temporarily sacrifice things other than efficiency, but you must know which things, once sacrificed, are hard to reclaim. You can postpone your ideals, but you cannot rewrite them without realizing it.\nThe difficulty of management has never been about the choices themselves, but about whether you know: are you bowing your head to clear a low threshold, or have you already switched to a different path?\nYears later, this is what creates the gap.\nIt’s not about who is smarter, but about who, when forced to do what they have to do, hasn’t completely forgotten what looks right.\n","date":"2026-01-24","description":"Management decision failures often stem not from poor judgment, but from debating what is 'right' at the wrong level. When a system is stable, you can discuss values; when it becomes unstable, all discussions degrade into 'how to avoid collapse.'","permalink":"https://www.kingdeguo.com/en/2026/01/24/the-right-thing-to-do-vs.-the-thing-you-have-to-do/","tags":["Management","Decision-Making","Organization","Thinking"],"title":"The Right Thing to Do vs. The Thing You Have to Do"},{"categories":["Workplace Insights"],"content":"At some stage, many managers begin subconsciously championing an environment that minimizes explanations, processes, and emotions—focusing solely on results. It appears calm, professional, and depersonalized, like a more \u0026ldquo;advanced\u0026rdquo; form of management. Especially when business pressure mounts and cycles shorten, this environment becomes almost an instinctive choice.\nI once endorsed this approach myself. After all, results are clear enough to simplify judgment, make decisions appear decisive, and spare the organization from endless debates. But over time, I\u0026rsquo;ve come to realize that a results-only approach is not a neutral choice—it\u0026rsquo;s actually an assumption about how the world works.\nThat assumption is: results are real enough to substitute for causality.\nYet the real challenge of management lies precisely in the fact that causality is never transparent. A result often emerges from a combination of capability, resources, luck, timing, environmental shifts, and even structural dividends left by predecessors. When we fixate solely on the outcome itself, we are essentially defaulting to the belief that these factors are either unimportant or can be ignored.\nAnd so, the organization begins to change—not all at once, but quietly.\nThe first thing to fade from view is methodology. Methods don\u0026rsquo;t produce results directly; they require time, validation, and room for error. In a results-only environment, anything that cannot immediately translate into numbers is deemed insufficiently \u0026ldquo;pragmatic.\u0026rdquo; Over time, people stop discussing why something is done and focus only on what can generate numbers faster.\nNext to be compressed is the perception of risk. Risk typically doesn\u0026rsquo;t show up in current results. As long as metrics are growing, hidden dangers can be ignored, and structural issues can be deferred. The organization develops a path dependency on short-term effectiveness while turning a blind eye to long-term fragility—until the environment shifts and amplifies every problem at once.\nFinally, what gets eroded is judgment itself. Judgment is supposed to be a manager\u0026rsquo;s core value, but when results become the sole arbiter, judgment is outsourced to data. Managers no longer need to understand the complexity of the business; they just need to \u0026ldquo;respect the results.\u0026rdquo; Yet data only tells you what happened, never why it happened, and certainly cannot guarantee it will happen again.\nIn such an environment, success is often misinterpreted. A growth spurt might simply be riding a niche demand; a breakthrough might just be the concentrated release of environmental tailwinds. But those in the thick of it are most easily convinced by results, mistaking luck for skill and temporary phenomena for long-term direction.\nThis is precisely the most dangerous aspect of a \u0026ldquo;results-only\u0026rdquo; approach. It can mistake a honeypot for a compass, noise for a signal, and temporary correctness for enduring truth.\nA truly mature organization does not ignore results—it simply refuses to stop at them. It repeatedly asks: What key conditions does this result depend on? Which of these are within our control, and which are merely coincidental? If the environment changes, how much of this approach would still hold up?\nWhen an organization systematically engages with these questions, results truly gain value. Otherwise, results are merely material for post-hoc rationalization, not a foundation for the next decision.\nSo now, I\u0026rsquo;ve grown increasingly wary of that repeatedly emphasized slogan—\u0026ldquo;Don\u0026rsquo;t talk about the process; just show me the results.\u0026rdquo; More often than not, it\u0026rsquo;s not a symbol of efficiency, but a form of self-protection after cognitive capacity has been compressed to its limit.\nA results-only environment can indeed move fast. But it often doesn\u0026rsquo;t know why it can run—or when it might suddenly fall.\nAnd the essence of management has never been about chasing results that have already happened. It\u0026rsquo;s about continuously building an understanding of causality amidst uncertainty.\n","date":"2026-01-22","description":"At some point, many managers begin subconsciously championing an environment that minimizes explanations, processes, and emotions—focusing solely on results. It appears calm, professional, and depersonalized, like a more 'advanced' form of management.","permalink":"https://www.kingdeguo.com/en/2026/01/22/results-only-work-environments/","tags":["Management Philosophy","Results-Oriented","Causal Thinking","Organizational Culture","Long-Termism"],"title":"Results-Only Work Environments"},{"categories":["Management Practices","Reflections"],"content":"Transparency and Consistency Should Not Be Confined to OKRs In recent years, OKRs have been burdened with excessive expectations in many organizations.\nThey have been treated as the starting point for transparency, a mechanism for alignment, and even a marker of organizational maturity. It seems that simply introducing OKRs will naturally clarify goals, smooth collaboration, and reduce the cost of mutual understanding. But those who have actually run them for a while often encounter an awkward truth: OKRs themselves haven\u0026rsquo;t solved these problems—they\u0026rsquo;ve merely presented the existing issues in a different form.\nThis isn\u0026rsquo;t a flaw of OKRs. It\u0026rsquo;s a misalignment in what we expect from them.\nTransparency and consistency have never been outcomes \u0026ldquo;delivered\u0026rdquo; by a management tool. They are foundational capabilities that an organization builds over time. OKRs are just a vehicle, an expression system, a language that makes goals and actions explicit. If an organization lacks stable judgment logic, clear decision-making boundaries, and predictable behavioral patterns internally, OKRs won\u0026rsquo;t create transparency. Instead, they will expose the chaos earlier and more loudly.\nMany people first begin to doubt OKRs not because their goals are poorly written, but because they \u0026ldquo;understand them, yet feel more confused.\u0026rdquo; The goals look clear enough, but there is no stable logic explaining why resources are allocated this way, why priorities suddenly shift, what can be persisted with, and what can be abandoned. Over time, OKRs transform from an \u0026ldquo;alignment tool\u0026rdquo; into a \u0026ldquo;showcase tool,\u0026rdquo; or even a \u0026ldquo;tool for managing upward.\u0026rdquo;\nWhat\u0026rsquo;s truly missing here is not goal management methodology—it\u0026rsquo;s consistency.\nConsistency doesn\u0026rsquo;t mean being static. It means maintaining continuity in your criteria for judgment amid change. If today everything is explained by growth, and tomorrow everything is overturned by efficiency; if similar problems are handled in completely different ways at different stages; if goal adjustments are always outcome-driven but never revisit the logic behind them—then no matter how elegantly OKRs are written, what employees perceive is still uncertainty.\nSimilarly, transparency is often misunderstood as \u0026ldquo;the degree of information disclosure.\u0026rdquo;\nIn reality, management cannot make everything public. Many decisions inherently involve sensitive information, incomplete information, or even require quick, decisive action. The truly valuable kind of transparency isn\u0026rsquo;t laying all the context bare. It\u0026rsquo;s about making visible the logic you use to make judgments. Even if the conclusion can\u0026rsquo;t be fully explained for the moment, as long as that \u0026ldquo;yardstick\u0026rdquo; is stable and understandable, the organization can form trust expectations.\nOnce this kind of logical transparency is absent, OKRs can actually amplify trust gaps. Goals are written down, commitments are made public, but subsequent adjustments lack explanatory space. Goals are no longer seen as a direction but as a text that could be rewritten at any time. At this point, what\u0026rsquo;s happening isn\u0026rsquo;t alignment—it\u0026rsquo;s the gradual depletion of the goals\u0026rsquo; own credibility.\nThis is also why, in some organizations, collaboration remains efficient even without OKRs, while in others, the more diligently OKRs are run, the heavier the internal friction becomes. The difference isn\u0026rsquo;t in the tool, but in whether the organization already possesses the capacity to support the tool. Management tools are never neutral. They only amplify the strengths or weaknesses already present in the existing structure.\nIf you treat OKRs as \u0026ldquo;the starting point for organizational transparency,\u0026rdquo; they are bound to disappoint. But if you see them as \u0026ldquo;an amplifier of an organization\u0026rsquo;s true state,\u0026rdquo; many phenomena become clearer.\nFrom this perspective, what\u0026rsquo;s truly worth revisiting isn\u0026rsquo;t whether to use OKRs, or how to write them. It\u0026rsquo;s a more fundamental question: once goals are written down, does the organization have the ability to respond to those goals in a consistent, predictable, and explainable way?\nTransparency and consistency are the fundamentals of an organization, not the freebies that come with a management method. At best, OKRs can verify whether they exist—but they can never replace their creation.\n","date":"2026-01-16","description":"OKRs are not the starting point for organizational transparency, but an amplifier of an organization's true state. Transparency and consistency are fundamental organizational capabilities, not byproducts of management tools.","permalink":"https://www.kingdeguo.com/en/2026/01/16/transparency-and-consistency-should-not-be-confined-to-okrs/","tags":["OKR","Transparency","Consistency","Organizational Capability","Goal Management","Collaboration Mechanisms","Trust Expectations","Management Tools"],"title":"Transparency and Consistency Should Not Be Confined to OKRs"},{"categories":["Workplace Insights","Reflections"],"content":"Influence Comes from Conviction I used to have a rather utilitarian understanding of \u0026ldquo;influence.\u0026rdquo; Whoever held a higher position, commanded more resources, and had a stronger voice was the one with influence. Over time, this view seemed self-evident in organizations and aligned with most people\u0026rsquo;s intuition. Your position in the system largely determined the leverage you could exert.\nBut later, I realized this understanding only explained half the picture.\nIn real organizations, there are always people who, by conventional logic, \u0026ldquo;shouldn\u0026rsquo;t have influence.\u0026rdquo; They don\u0026rsquo;t hold key positions or control many resources, yet they can shift things at critical moments. Their opinions are repeatedly cited, their judgment is sought as a reference, and even when they\u0026rsquo;re not in the room, their thinking still shapes decisions.\nThis phenomenon initially puzzled me. Eventually, I came to see that influence doesn\u0026rsquo;t come entirely from position—it comes from something more subtle: conviction.\nBy conviction, I don\u0026rsquo;t mean abstract value slogans. I mean a system of judgment that you\u0026rsquo;ve repeatedly proven through long-term practice and are willing to pay a price for. What you believe in, what you stand for, whether you stay on the same path under pressure—time reveals all of this layer by layer.\nMany people lack influence not because they lack ability, but because their stance is always shifting. They think one way today, speak another way tomorrow, and quickly adjust their posture when faced with resistance. Each choice seems \u0026ldquo;reasonable\u0026rdquo; in the moment, but over the long haul, there\u0026rsquo;s nothing stable about them that others can rely on.\nConviction is the opposite. It gives your behavior continuity. It lets others know: in similar situations, this is how you\u0026rsquo;re likely to judge and decide. Over time, this predictability itself becomes a form of influence.\nHolding onto conviction doesn\u0026rsquo;t mean being stubborn. Truly powerful conviction can be calibrated by reality, but its core doesn\u0026rsquo;t waver easily. You can adjust your path and refine your methods, but you won\u0026rsquo;t overturn your fundamental judgment for short-term gains or losses.\nThis is especially important in organizations. In complex systems, the scarcest resource isn\u0026rsquo;t smart people—it\u0026rsquo;s people with stable judgment. When the environment is uncertain and information is incomplete, people instinctively look for an \u0026ldquo;anchor.\u0026rdquo; And that anchor is often someone who has long adhered to certain principles and repeatedly proven to be reliable.\nI\u0026rsquo;ve also come to realize that building influence is an extremely slow process. It\u0026rsquo;s not the result of a single speech, a single stance, or a single alignment. It\u0026rsquo;s the natural product of countless choices layered over time. Whether you still insist on what you believe is important when you\u0026rsquo;re at a disadvantage, whether you act by the same standards when no one is watching—these details are quietly recorded by time.\nInterestingly, by the time you truly have influence, you\u0026rsquo;re often no longer actively pursuing it. Because all you\u0026rsquo;re doing is continuing the logic you\u0026rsquo;ve always believed in, and others choose to follow simply because they\u0026rsquo;ve found that this logic holds up in complex reality.\nLooking back, influence is not a technique or an interpersonal strategy. It\u0026rsquo;s more like a long-term accumulation of credit. And the underlying asset of that credit is never flattery or the urge to show off—it\u0026rsquo;s whether you truly believe in what you stand for and are willing to bear the consequences.\nOnce conviction is repeatedly validated, it becomes judgment that others are willing to borrow. That\u0026rsquo;s when your influence truly begins to work.\n","date":"2026-01-15","description":"In organizations, true influence doesn't stem from position or authority, but from a belief system that is consistently upheld and repeatedly validated over time.","permalink":"https://www.kingdeguo.com/en/2026/01/15/influence-comes-from-conviction/","tags":["influence","conviction","judgment","organizational behavior","long-termism","credibility","decision stability","leadership"],"title":"Influence Comes from Conviction"},{"categories":["Thinking Methods","Management Practices"],"content":"Getting Started Lightly with Secondary Data When many organizations talk about data, they often operate under a single implicit assumption: the data must be \u0026ldquo;our own.\u0026rdquo; It must be collected firsthand, fully controllable across the entire chain, with unified definitions, and ideally, capable of being accumulated as a long-term asset. This premise sounds professional and aligns with engineering intuition, but in real-world decision-making, it often leads not to certainty, but to delay.\nI\u0026rsquo;ve seen too many projects where, before truly getting started, the bulk of the effort is spent on \u0026ldquo;getting the data ready.\u0026rdquo; The result is that the data infrastructure becomes increasingly heavy, while the core question remains in a fuzzy state: Is this direction even worth pursuing?\nOver time, I realized the problem isn\u0026rsquo;t data quality—it\u0026rsquo;s a mismatch of phases.\nIn highly uncertain phases, the core goal of decision-making isn\u0026rsquo;t to \u0026ldquo;calculate precisely,\u0026rdquo; but to \u0026ldquo;see clearly.\u0026rdquo; And secondary data is precisely designed for the latter.\nSecondary data, at its core, is someone else\u0026rsquo;s attempt to understand the world. Industry reports, public financial statements, third-party statistics, platform trend data, and even shifts in competitors\u0026rsquo; product release cadences—these are all slices of reality captured by external systems. They are incomplete and not tailored to you, but they have already completed the first step: compressing chaos into structure.\nTheoretically, this is closer to a tool for cognitive dimensionality reduction. When information is extremely complex and variables are still unclear, what people truly need is not precision, but boundaries. The value of secondary data lies not in whether it is \u0026ldquo;accurate,\u0026rdquo; but in whether it helps you answer a few key questions: Is the change real? Where is it happening? What is the approximate pace of change?\nAnswering these questions with primary data is prohibitively expensive and often locks you into a path before the direction is clear. But with secondary data, you can quickly form a falsifiable hypothesis at a very low cost.\nIn practice, a clear dividing line is whether you treat secondary data as a \u0026ldquo;conclusion\u0026rdquo; or as a \u0026ldquo;hypothesis generator.\u0026rdquo;\nMature usage is always the latter. For example, instead of directly drawing conclusions from an industry report, you cross-reference data from different sources to identify trends they consistently point to, as well as areas where they contradict each other. The former often signals structural shifts, while the latter hints at cognitive blind spots worth deeper exploration.\nThis reflects a classic but often overlooked management logic: during the exploration phase, seek directional alignment first; during the validation phase, pursue local precision.\nThe problem with many organizations is that they apply validation-phase thinking to exploration-phase work from the start. As a result, they become overly sensitive to biases, definitions, and methodologies in secondary data, while remaining unclear about \u0026ldquo;what exactly are we trying to validate?\u0026rdquo;\nA more practical point is that secondary data also forces organizations to remain restrained.\nOnce primary data initiatives are launched, they often imply long-term commitments: teams, systems, budgets, and path dependencies quickly take shape. Secondary data, by nature, is \u0026ldquo;light.\u0026rdquo; It doesn\u0026rsquo;t require you to place a bet immediately—it only asks you to articulate your judgment clearly. This lightweight state is crucial for early strategic discussions because it allows for repeated revisions without each correction becoming an organizational-level self-negation.\nOf course, secondary data can never replace primary data. Its biggest limitation is precisely this: you cannot fully control its generation logic. But this isn\u0026rsquo;t a flaw—it\u0026rsquo;s a reminder of its boundaries of use.\nThe truly rational path is to first use secondary data to narrow down the problem space, then use primary data to answer the questions that have proven worth answering. When primary data is used to validate key variables rather than explore unknown directions, its return on investment improves significantly.\nFrom this perspective, \u0026ldquo;getting started lightly with secondary data\u0026rdquo; is not a compromise when resources are constrained, but a working method that better aligns with cognitive principles. It acknowledges that humans cannot see the full picture at once in complex systems, and that organizational learning itself requires phases.\nFirst, borrow the world\u0026rsquo;s existing experience to calibrate your intuition; then decide which areas are truly worth going all in on.\n","date":"2026-01-14","description":"How to use secondary data to quickly form testable hypotheses during uncertain phases, avoiding the heavy costs of primary data too early","permalink":"https://www.kingdeguo.com/en/2026/01/14/getting-started-lightly-with-secondary-data/","tags":["Data-driven Decision Making","Secondary Data","Primary Data","Exploration Phase","Validation Phase","Cognitive Dimensionality Reduction","Strategic Decision Making","Lightweight Start"],"title":"Getting Started Lightly with Secondary Data"},{"categories":["Management Practices","Reflections"],"content":"Looking Back at ByteDance\u0026rsquo;s Re-emphasis on \u0026lsquo;Pragmatic Romanticism\u0026rsquo; in Early 2025 \u0026ldquo;Pragmatic romanticism\u0026rdquo; is not a new phrase. Zhang Yiming had mentioned it much earlier. And precisely because it wasn\u0026rsquo;t new, when management brought up these four words again in early 2025, I didn\u0026rsquo;t take it too seriously.\nThe context at the time was very pragmatic. Doubao held no advantage in model capability, product mindshare, or industry visibility. From an external perspective—or even from a relatively rational management standpoint—it was easy to arrive at a seemingly sober judgment: the gap had already formed, and revisiting this philosophy at this point felt more like finding a dignified narrative for an uncomfortable reality.\nLooking back now, that was precisely my biggest misjudgment at the time.\nNot because the judgment was illogical, but because I underestimated the sheer weight of sustained execution.\nThroughout 2025, there were no dramatic turning points. No single product launch stunned the industry, and no isolated capability suddenly reshaped the landscape. What ByteDance did was mostly slow, repetitive, and even somewhat tedious: shoring up foundational model capabilities, stacking up computing power, restructuring AI-related organizational units, recruiting long-term research talent, and gradually concentrating resources and decision-making authority on long-term objectives.\nThese moves didn\u0026rsquo;t look impressive against short-term metrics, nor could they be easily packaged into exciting stories. But it was precisely this year of \u0026ldquo;ordinariness\u0026rdquo; that revealed its true weight when revisited in 2026.\nWhat truly prompted my reflection wasn\u0026rsquo;t where Doubao eventually ended up, but how it got there.\nThroughout that year, ByteDance didn\u0026rsquo;t rush to prove \u0026ldquo;I\u0026rsquo;ve caught up with whom.\u0026rdquo; Instead, it first ensured one thing: no more shifting directions, no more scattered resources, no more organizational wavering. This kind of restraint is actually harder than being aggressive.\nLooking back, I made at least three typical managerial mistakes.\nFirst, I misread \u0026ldquo;repeated philosophy\u0026rdquo; as \u0026ldquo;strategic inertia.\u0026rdquo;\nI defaulted to thinking that if a phrase is repeated over and over, it means it can no longer generate new binding force. But the reality is, when an old idea is re-emphasized at a new stage, it often signals that the organization is willing to start paying sustained costs for it.\nSecond, I overestimated the certainty of short-term leads.\nIn the context of 2024, I subconsciously believed that once a gap formed in large language models, the window for catching up would quickly close. But the reality of 2025 proved that as long as engineering density, resource intensity, and organizational focus all hold simultaneously, so-called \u0026ldquo;irreversible gaps\u0026rdquo; are not as solid as imagined.\nThird—and this is the hardest to admit—I lacked sufficient reverence for patience itself.\nMany managers talk about the long term, but the real test is whether they can maintain continuity of investment when no clear returns are visible within a year. We often set implicit conditions on long-termism: if there are no results for a while, maybe the direction is wrong.\nByteDance chose a different path in 2025. It accepted the reality that \u0026ldquo;this year might not look great,\u0026rdquo; yet did not reduce its intensity of investment. This choice itself is the most concrete embodiment of \u0026ldquo;pragmatic romanticism.\u0026rdquo;\nNow, in 2026, Doubao\u0026rsquo;s breakthroughs need little explanation. More importantly, these breakthroughs didn\u0026rsquo;t come from a single flash of inspiration, but from a full year of highly consistent strategic judgment, organizational adjustments, and resource allocation.\nFor me personally, the value of this case isn\u0026rsquo;t about proving who was right or wrong. It\u0026rsquo;s about recalibrating one thing: time does not reward those with the sharpest judgments, but more often rewards those willing to persistently see the right things through to completion.\n\u0026ldquo;Pragmatic romanticism\u0026rdquo; works not because it sounds appealing, but because it demands that managers endure repetition, endure slowness, and endure being questioned—all without applause or clear feedback.\nThis is neither sentiment nor posture. It is an extremely rare management capability.\nAnd such a capability is often only truly understood after being repeatedly tested by reality—and even \u0026ldquo;corrected\u0026rdquo; by time.\n","date":"2026-01-11","description":"Examining the long-term value of management philosophy through Doubao's development trajectory, and the decision-making challenges managers face during periods lacking clear feedback","permalink":"https://www.kingdeguo.com/en/2026/01/11/looking-back-at-bytedances-re-emphasis-on-pragmatic-romanticism-in-early-2025/","tags":["ByteDance","Pragmatic Romanticism","Long-termism","Doubao","AI Strategy","Management Capability","Strategy Execution","Organizational Focus"],"title":"Looking Back at ByteDance's Re-emphasis on 'Pragmatic Romanticism' in Early 2025"},{"categories":["Technology Reflections","Management Practices"],"content":"The Rearrangement of Organizational Value Coordinates | Reading the Anthropic Economic Index Report I\u0026rsquo;ve been reading a report repeatedly lately: the Anthropic Economic Index, released and continuously updated by Anthropic in 2025.\nWhat draws me to it isn\u0026rsquo;t how \u0026ldquo;novel its conclusions are,\u0026rdquo; but rather how it shifts the way we look at problems.\nMost discussions about AI habitually ask one question: Will this job disappear?\nThis report deliberately avoids that framing. Instead, it does something more \u0026ldquo;grounded\u0026rdquo;—and closer to reality—by breaking jobs down into tasks.\nIn its analytical framework, there are no overarching concepts like \u0026ldquo;programmer,\u0026rdquo; \u0026ldquo;analyst,\u0026rdquo; or \u0026ldquo;editor.\u0026rdquo; There are only specific work units: writing a piece of code, organizing a dataset, generating a first draft, proofreading a logical flow. AI\u0026rsquo;s penetration happens at this task level, not as a blanket effect on entire roles.\nThis perspective is crucial. Once you accept that \u0026ldquo;jobs won\u0026rsquo;t disappear wholesale, but their internal structure will be rearranged,\u0026rdquo; many subsequent phenomena become explainable.\nBased on real usage data, AI\u0026rsquo;s fastest coverage is in tasks involving text processing, logical reasoning, and well-defined rules—areas that rarely require physical manipulation, complex emotional judgment, or highly contextual collaboration.\nThis means most roles aren\u0026rsquo;t being replaced but rather re-divided: basic, standardized tasks are rapidly compressed, while the remaining work increasingly concentrates on judgment, integration, and accountability.\nThis is also why, in reality, \u0026ldquo;extra effort yields no return at all\u0026rdquo; doesn\u0026rsquo;t hold. Returns haven\u0026rsquo;t disappeared; they\u0026rsquo;re simply no longer evenly distributed across \u0026ldquo;doing a little more.\u0026rdquo;\nOnce foundational tasks are absorbed by AI, organizations start paying for something else: making decisions under uncertainty, covering gaps in the system, and taking responsibility before risks materialize. These things matter, but they have one problem—they\u0026rsquo;re hard to evaluate in a standardized way.\nThus, a familiar tension emerges: on one hand, organizations still reward high performance; on the other, many feel this reward is increasingly \u0026ldquo;opaque.\u0026rdquo;\nThis isn\u0026rsquo;t entirely a management failure—it\u0026rsquo;s that value recognition mechanisms lag behind changes in value structure.\nWhen contributions can\u0026rsquo;t be fully identified through processes, metrics, or assessments, they get recognized through informal channels like trust, delegation, and tacit understanding. So we see phenomena simplistically attributed to \u0026ldquo;connections,\u0026rdquo; \u0026ldquo;inner circles,\u0026rdquo; or \u0026ldquo;taking sides.\u0026rdquo; But structurally, this looks more like: the right to make judgments has started to become valuable, but it hasn\u0026rsquo;t yet been formally priced.\nAnthropic\u0026rsquo;s subsequent data further confirms this. In enterprise settings, AI usage leans toward automation, concentrated in stable processes with clear objectives. For truly high-value, direction-setting decisions, AI can only assist. This leads to one outcome: the number of \u0026ldquo;people within systematic workflows\u0026rdquo; decreases, while \u0026ldquo;people making judgments outside the system\u0026rdquo; become more valuable.\nFrom a decision-maker\u0026rsquo;s perspective, the real challenge isn\u0026rsquo;t \u0026ldquo;whether to use AI,\u0026rdquo; but two more practical questions:\nFirst, is the organization willing to pay the structural cost for judgment-based value—gradually bringing contributions that rely on personal relationships and implicit trust back into formal systems?\nSecond, if not, does it accept the fact that informal structures will persist and increasingly influence resource allocation?\nThe same logic applies to individuals. What\u0026rsquo;s truly being compressed isn\u0026rsquo;t capability itself, but the replaceable part of it. What can sustain bargaining power is the judgment and responsibility that remain outside task decomposition.\nSo, AI\u0026rsquo;s impact on the labor market isn\u0026rsquo;t fundamentally about changes in job quantity, but about the rearrangement of organizational value coordinates.\nWho can be absorbed by the system, and who can only be recognized through relationships—this dividing line is becoming increasingly clear.\nThat\u0026rsquo;s why this wave feels more like a stress test. It tests not \u0026ldquo;who will be eliminated,\u0026rdquo; but whose value no longer fits the existing organizational pricing model.\n","date":"2026-01-10","description":"From the perspective of task decomposition, exploring AI's deep restructuring of organizational value systems and how individuals can find bargaining space in the new coordinates","permalink":"https://www.kingdeguo.com/en/2026/01/10/the-rearrangement-of-organizational-value-coordinates-reading-the-anthropic-economic-index-report/","tags":["AI","Organizational Change","Value Restructuring","Anthropic","Task Decomposition","Judgment-Based Value","Labor Market","Organizational Pricing"],"title":"The Rearrangement of Organizational Value Coordinates | Reading the Anthropic Economic Index Report"},{"categories":["Reflections","Workplace Insights"],"content":"All Language Is True, Precisely Because Language Has No Fixed Truth I used to care deeply about whether a statement was \u0026ldquo;factual.\u0026rdquo;\nIn meetings, retrospectives, and conversations, whenever I sensed someone was \u0026ldquo;embellishing,\u0026rdquo; \u0026ldquo;dancing around,\u0026rdquo; or \u0026ldquo;speaking in platitudes,\u0026rdquo; my instinct was to resist—even feel a bit impatient. I would subconsciously think: This isn\u0026rsquo;t the truth. This is just posturing.\nOnly later did I realize how naive that judgment was.\nThe problem with language is rarely about truth versus falsehood. It\u0026rsquo;s about what you take it to be.\nAfter spending enough time in organizations, you gradually come to see that most people aren\u0026rsquo;t \u0026ldquo;lying.\u0026rdquo; What they say is often true—just not the kind of \u0026ldquo;factual truth\u0026rdquo; you expect. More often than not, language carries positions, relationships, risk assessments, and even self-protection. It truthfully reflects where the speaker stands, not the event itself.\nFor example, \u0026ldquo;This is a bit complicated\u0026rdquo; usually doesn\u0026rsquo;t mean it\u0026rsquo;s complicated—it means the speaker doesn\u0026rsquo;t want to push forward right now. \u0026ldquo;Let\u0026rsquo;s observe a bit longer\u0026rdquo; doesn\u0026rsquo;t mean observation—it means unwillingness to bear the consequences of a decision. \u0026ldquo;Overall, it\u0026rsquo;s okay\u0026rdquo; doesn\u0026rsquo;t mean satisfaction—it means reluctance to admit disappointment. If you take these words literally, of course they feel hollow. But if you treat them as expressions of a state of mind, they become remarkably honest.\nLanguage feels \u0026ldquo;empty\u0026rdquo; because we expect it to do more than it can.\nWe want a single sentence to accomplish three things at once: accurately describe facts, clearly express a stance, and avoid damaging relationships. In reality, these three are almost never compatible. So language constantly compromises in the middle—vague on the surface, yet deeply pragmatic. It serves not truth, but survival.\nFrom a manager\u0026rsquo;s perspective, this becomes even more apparent.\nThe closer you are to the front line, the more concrete the language. The higher you go, the more abstract it becomes. Not because people become less genuine, but because the risk structure they bear changes. A frontline employee saying \u0026ldquo;This requirement doesn\u0026rsquo;t make sense\u0026rdquo; carries little cost. A middle manager saying the same thing has to consider upstream and downstream dependencies. A senior executive saying it might imply a wrong direction, wasted resources, or organizational upheaval.\nSo language begins to \u0026ldquo;deform\u0026rdquo;—but that deformation itself is a fact.\nIf you cling only to whether language \u0026ldquo;tells the truth,\u0026rdquo; you\u0026rsquo;ll miss a wealth of critical information. What truly matters is often: Why did this person say this in this way at this moment? Behind language lies the organization\u0026rsquo;s pressure distribution, power structure, and incentive mechanisms—not the right or wrong of a single event.\nI once went through a phase where I desperately wanted to \u0026ldquo;speak clearly.\u0026rdquo;\nI wanted to turn ambiguity into precision, attitudes into conclusions, and pull every conversation back to the factual level. Eventually, I realized that this impulse itself was also a perspective determined by position. When you don\u0026rsquo;t yet have to bear the consequences of complexity, you naturally favor clarity. But when you start being responsible for the system, you understand why many things can only be said to a certain degree.\nSo I\u0026rsquo;ve gradually come to accept this: Language doesn\u0026rsquo;t need to be \u0026ldquo;purified.\u0026rdquo;\nIt was never meant to be a vessel for absolute truth. It\u0026rsquo;s an expressive system that constantly adjusts under real-world constraints. It truthfully reflects people\u0026rsquo;s fears, expectations, calculations, and compromises. The reason language seems \u0026ldquo;unreal\u0026rdquo; is precisely because reality itself is messy, incomplete, and asymmetrical.\nSo now, when I hear those vague statements, I pause.\nNot to judge whether they\u0026rsquo;re right or wrong, but to sense: What unspeakable thing lies beneath? What forces are shaping this expression? Often, understanding this layer brings you closer to the truth than chasing an \u0026ldquo;accurate statement.\u0026rdquo;\nAll language is true, precisely because language has no fixed truth.\nIt doesn\u0026rsquo;t owe us a reconstruction of the world. It only owes us a revelation of where we stand within it.\n","date":"2026-01-06","description":"From clinging to facts to understanding the truth behind language—language carries positions, relationships, and survival strategies, not mere objective reality","permalink":"https://www.kingdeguo.com/en/2026/01/06/all-language-is-true-precisely-because-language-has-no-fixed-truth/","tags":["Philosophy of Language","Organizational Communication","Truth and Appearance","Management Reflections","Power Structures","Survival Strategies","Systems Thinking","Cognitive Upgrade"],"title":"All Language Is True, Precisely Because Language Has No Fixed Truth"},{"categories":["Management Practice","Reflections"],"content":"Rising Is a Leading Indicator; Falling Is a Lagging Indicator I used to judge \u0026ldquo;results\u0026rdquo; in a very straightforward way: if something went up, we did something right; if it went down, something was wrong.\nWhether it was business metrics, team morale, or personal growth, I habitually interpreted the world through this simple causal logic. Over time, I came to realize that this understanding wasn\u0026rsquo;t just simplistic—it was dangerous.\nWhat truly shook me were a few experiences where \u0026ldquo;everything seemed fine, yet things suddenly collapsed.\u0026rdquo;\nData was rising, morale was high, external feedback was positive, and everyone in meetings appeared confident. In moments like these, standing in that position, it\u0026rsquo;s hard not to believe it\u0026rsquo;s proof of capability and validation of the right direction. You even start rationalizing the rise: the strategy was sound, the organization was aligned, the people had matured. That feeling is seductive because it gives you a narrative of certainty.\nBut the problem is that rising often occurs during a phase where \u0026ldquo;expectations have already been priced in.\u0026rdquo;\nMany times, an indicator goes up not because of what was done well today, but because yesterday, the day before, or even earlier, everyone had already formed an optimistic consensus about the future. Resources were allocated ahead of time, patience was drawn upon, and problems were temporarily shelved. Rising is more an outward expression of confidence than a settlement of reality. What it tells you is often \u0026ldquo;people are still willing to place their bets,\u0026rdquo; not \u0026ldquo;the system is solid.\u0026rdquo;\nI only truly understood this after experiencing the downturns.\nFalling almost never happens the moment a problem first emerges. Real structural issues always exist first in seemingly \u0026ldquo;insignificant\u0026rdquo; forms: processes start slowing down, collaboration becomes strained, key decisions are repeatedly delayed, a few people begin to go silent.\nThese signals rarely show up directly in outcomes; instead, they are often masked by the rise. It\u0026rsquo;s only when some external variable shifts or patience runs out that the decline appears, seemingly out of nowhere.\nSo, falling is more like a long-overdue bill.\nIt\u0026rsquo;s not immediate feedback on today\u0026rsquo;s decisions, but a collective settlement of a series of past choices. This is why, when a decline actually hits, trying to \u0026ldquo;assign blame\u0026rdquo; or \u0026ldquo;correct course\u0026rdquo; is often too late. You can patch up surface-level losses, but you can\u0026rsquo;t quickly repair the structural cracks that have been accumulating for a long time.\nThis understanding is particularly brutal for managers.\nDuring a rising phase, you almost never get honest organizational feedback on dissenting opinions. Most issues are brushed aside with a casual \u0026ldquo;overall, things are fine.\u0026rdquo; The more you try to slow down, review, or question the direction in this phase, the more you risk being seen as a killjoy, conservative, or even out of touch. The rise itself compresses the organization\u0026rsquo;s space for reflection.\nAnd when the decline finally arrives, the organization suddenly becomes remarkably clear-eyed. Everyone starts searching for causes, revisiting decisions, and bringing up those previously ignored issues. But by then, the tone of discussion has shifted from \u0026ldquo;is this worth adjusting?\u0026rdquo; to \u0026ldquo;we must stop the bleeding.\u0026rdquo; The space is different, and the mindset is entirely different.\nOver time, I learned to view the same outcome through two lenses.\nWhen everything is rising, I deliberately remind myself: this reflects expectations more than it proves correctness. What\u0026rsquo;s truly worth worrying about isn\u0026rsquo;t a slower rise, but one that\u0026rsquo;s too smooth, almost frictionless. And when a decline appears, I resist the urge to jump to conclusions, because I know it\u0026rsquo;s just an echo of the past—a result the system had already seeded.\nIf there\u0026rsquo;s any truly valuable window for judgment, it\u0026rsquo;s often not in the rise or fall itself, but in the moments before they happen.\nIn those times when data hasn\u0026rsquo;t visibly changed and collective sentiment hasn\u0026rsquo;t yet shifted, can the organization still hear the untimely voices? Can it still invest attention in places that \u0026ldquo;seem fine\u0026rdquo;? These are the signals that truly lead the outcomes.\nNow, when I revisit the idea that \u0026ldquo;rising is a leading indicator, falling is a lagging indicator,\u0026rdquo; I see it less as a tool for predicting trends and more as a reminder for people. A reminder not to be lulled by the rise, nor to be paralyzed by the fall. The real challenge is to remain honest about the system when there are no clear results. That is the truest test of judgment.\n","date":"2026-01-05","description":"Rethinking the danger of outcome-based judgment: rising reflects expectations, not correctness; falling is a delayed bill, not immediate feedback","permalink":"https://www.kingdeguo.com/en/2026/01/05/rising-is-a-leading-indicator-falling-is-a-lagging-indicator/","tags":["Outcome Judgment","Expectation Management","Organizational Insight","Systems Thinking","Management Reflection","Decision Logic","Risk Warning","Causality"],"title":"Rising Is a Leading Indicator; Falling Is a Lagging Indicator"},{"categories":["Workplace Insights","Management Practices"],"content":"The Non-Disruptive Subordinate Over the New Year holiday, I watched The Annual Party Can\u0026rsquo;t Stop! again.\nI didn\u0026rsquo;t immediately think of terms like \u0026ldquo;organization\u0026rdquo; or \u0026ldquo;structure.\u0026rdquo; Instead, my reaction was deeply personal: some scenes made me laugh with a hint of guilt. Because I suddenly realized that I both dislike \u0026ldquo;non-disruptive subordinates\u0026rdquo; and, at certain moments, have quietly rewarded them.\nThat realization made me uncomfortable.\nWhen I wasn\u0026rsquo;t in a management role, I resisted the idea of being \u0026ldquo;non-disruptive.\u0026rdquo; You see the problem clearly, you know the plan has flaws, yet you nod in the meeting, echo agreement, and add, \u0026ldquo;I really align with this direction.\u0026rdquo; It feels like participating in a performance everyone knows is staged. After the meeting, the real discussions happen in the break room, private chat windows, and late-night rants. In those moments, I felt the organization was forcing people to learn a set of survival tactics that weren\u0026rsquo;t exactly honorable.\nBut as I gradually moved into a position where I needed to evaluate others, my attitude became more complicated.\nIt\u0026rsquo;s not that I don\u0026rsquo;t know who is genuinely thinking and who is just going through the motions. Rationally, I\u0026rsquo;m fully aware that those who truly add value to an organization are often the ones who can articulate problems clearly and bring uncomfortable truths to the table. I even tell myself that during performance reviews, I must look for \u0026ldquo;independent judgment\u0026rdquo; rather than \u0026ldquo;the ability to schmooze.\u0026rdquo;\nBut in reality, there are moments when rationality takes a back seat.\nFor example, during an already exhausting phase, when a project has barely managed to stand on its own and team morale is visibly tense. Someone raises a \u0026ldquo;directional issue,\u0026rdquo; not aggressively, but enough to instantly cool the atmosphere. In that moment, my first internal reaction isn\u0026rsquo;t \u0026ldquo;Is he right?\u0026rdquo; but \u0026ldquo;Is this the right time to bring this up?\u0026rdquo; I can clearly feel a subtle emotional shift: irritation, defensiveness, even a touch of impatience.\nTo be more honest, I subconsciously find it easier to deal with those who aren\u0026rsquo;t disruptive.\nThey go with the flow, help meetings end smoothly, make decisions appear unanimous, and make me, as a manager, look like I have things under control. Even though I know this smoothness likely comes at a cost. During performance reviews, I try to tell myself to \u0026ldquo;curb emotional influence,\u0026rdquo; but when I reflect afterward, I realize emotions have already quietly shaped my judgment, merely cloaked in the guise of \u0026ldquo;comprehensive consideration.\u0026rdquo;\nThis is where my conflict lies.\nAs a manager, I want team members who can point out problems. But as a human being, it\u0026rsquo;s hard for me to remain consistently stable, open, and patient every time my \u0026ldquo;momentum\u0026rdquo; is interrupted. I want an organization that offers honest feedback, yet I can\u0026rsquo;t fully let go of my reliance on order, rhythm, and emotional stability. So, the \u0026ldquo;non-disruptive subordinate\u0026rdquo; gradually gets placed in the safe zone amid this back-and-forth.\nOver time, I\u0026rsquo;ve come to realize this isn\u0026rsquo;t about a lack of moral fortitude. It\u0026rsquo;s a genuine tension that comes with role shifts. When you aren\u0026rsquo;t responsible for the overall outcome, the cost of speaking truthfully is relatively manageable. When you have to bear the consequences of results, any behavior that \u0026ldquo;increases uncertainty\u0026rdquo; triggers an instinctive reassessment. And this reassessment is often not a value judgment but an emotional one.\nOrganizations, in turn, amplify these subtle personal preferences into collective signals.\nSome people are more patiently listened to; others are labeled \u0026ldquo;difficult.\u0026rdquo; Some expressions are seen as constructive; others are categorized as \u0026ldquo;contrarian.\u0026rdquo; Over time, what people learn isn\u0026rsquo;t \u0026ldquo;how to articulate a problem clearly,\u0026rdquo; but \u0026ldquo;when and how to say it without being disruptive.\u0026rdquo; Once this learning is complete, the organization\u0026rsquo;s surface becomes very smooth, but truly valuable information becomes increasingly scarce.\nNow, looking back at the scenes in the movie, I don\u0026rsquo;t feel like laughing anymore. Because I no longer see exaggeration; I see compressed reality. And I\u0026rsquo;ve finally admitted one thing: I am both the person who hates the \u0026ldquo;non-disruptive culture\u0026rdquo; and the person who, at certain moments, tacitly allows it to exist.\nThis self-awareness won\u0026rsquo;t instantly make me better, but it at least keeps me vigilant. The next time I feel \u0026ldquo;disrupted,\u0026rdquo; I\u0026rsquo;ll ask myself one more question: Am I protecting efficiency, or am I protecting my emotions? Am I judging the problem itself, or am I rewarding a behavior that makes me comfortable?\nPerhaps true mature management isn\u0026rsquo;t about demanding constant rationality from oneself, but about acknowledging that irrationality exists and trying not to let it become the organization\u0026rsquo;s default rule. After all, being non-disruptive isn\u0026rsquo;t inherently wrong. The real danger lies in making \u0026ldquo;being non-disruptive\u0026rdquo; an implicit standard.\n","date":"2026-01-04","description":"Reflections sparked by the movie 'The Annual Party Can't Stop!', exploring the subtle tension between managers and subordinates regarding being non-disruptive","permalink":"https://www.kingdeguo.com/en/2026/01/04/the-non-disruptive-subordinate/","tags":["Management Reflection","Organizational Culture","Honest Feedback","Emotional Management","Performance Evaluation","Workplace Survival","Self-Awareness","Leadership"],"title":"The Non-Disruptive Subordinate"},{"categories":["Workplace Insights","Management Practices"],"content":"When You Have Two Bosses Who Don\u0026rsquo;t Talk to Each Other For a time, I was constantly walking a tightrope.\nOne boss demanded a complete proposal by Wednesday; another wanted a different version and hinted that the first could be set aside.\nI sat at my desk, mouse in hand, my mind endlessly weighing options: If I finish A first, will I anger B? If I do B first, A\u0026rsquo;s timeline slips.\nI realized that conflict itself isn\u0026rsquo;t the real problem—it\u0026rsquo;s the unbearable pressure of having no place to anchor your choices, leaving you so unsettled you can barely breathe.\nAfter repeated struggles, I came to see that the issue wasn\u0026rsquo;t me—it was the organizational structure.\nEach boss represented a different department, with metrics and priorities that never intersected. As the executor, I was forced to become an \u0026ldquo;information buffer zone.\u0026rdquo;\nIt suddenly clicked: this wasn\u0026rsquo;t just a task conflict—it was a textbook case of missing role and accountability design. The organization had given me no clear priority, nor had it aligned its leaders around a shared goal. So I had to start thinking proactively: Who am I ultimately serving? What output truly creates value?\nI began adopting what I call \u0026ldquo;bridge thinking.\u0026rdquo; Whenever I received instructions, I would first map out both sides\u0026rsquo; objectives and underlying logic, identify overlaps and conflicts, and then propose an integrated solution.\nThis process was incredibly draining, but it also gave me my first real understanding that the workplace isn\u0026rsquo;t about simple execution—it\u0026rsquo;s about sensing and regulating a complex system.\nI learned to anticipate problems: if something might trigger a clash between the two bosses, I would prepare a fallback plan in advance, or explicitly flag the potential conflict to make the decision-making process transparent.\nThis experience forced me to reflect on the foundational logic of organizational design. I realized that employees become passive not because they lack ability, but because the organization fails to provide clear priorities, transparent communication, and well-defined roles and responsibilities. If bosses can\u0026rsquo;t collaborate, even the smartest executor can only absorb pressure, not create real value.\nFor me, this pain served as a reminder: management isn\u0026rsquo;t just about assigning tasks—it\u0026rsquo;s about building a clear decision chain and communication bridge, so that subordinates have direction rather than being trapped in conflict and left to generate their own anxiety.\nLooking back now, that period became my classroom. The most important lesson I learned: in any organization, every contradiction and every conflict is a piece of information—an opportunity to sharpen your judgment and systems awareness. If you can untangle the logic and proactively propose integrated solutions, your growth will far outpace what you\u0026rsquo;d gain from completing any single task.\nAnd it was precisely in that tight spot that I began to envision the kind of organization I want to be part of: one where roles are clear, communication is transparent, and decisions are traceable—an environment where people can act with confidence and create real value.\n","date":"2026-01-03","description":"Navigating the cracks in the workplace taught me the importance of clear authority and accountability in organizational design","permalink":"https://www.kingdeguo.com/en/2026/01/03/when-you-have-two-bosses-who-dont-talk-to-each-other/","tags":["Multiple Management","Organizational Design","Role Clarity","Communication Bridge","Career Growth","Systems Thinking","Decision Chain","Prioritization"],"title":"When You Have Two Bosses Who Don't Talk to Each Other"},{"categories":["Technology Reflections","Management Practices"],"content":"2023–2025: Organizational Evolution Through the Lens of Large Models At first, I didn’t really see this as an \u0026ldquo;organizational-level\u0026rdquo; issue.\nBack in 2023, when large models first entered the company, our discussions were still centered on efficiency. Who could use them faster, who could write more accurately, who could save a bit more on labor costs. The consensus back then was simple: this was a tool problem, not a structural one. Whether a tool was good or not, and whether it was used, depended more on individual ability and attitude. The organization just needed to \u0026ldquo;keep up,\u0026rdquo; not \u0026ldquo;restructure.\u0026rdquo;\nLater, I realized how naive that judgment was.\nWhen a handful of people began using models to compress tasks that once took days into just a few hours, a subtle imbalance emerged in the organization for the first time. It wasn’t a gap in capability—it was a gap in pace. The existing processes, reviews, and decision-making rhythms started to hold back those who had already \u0026ldquo;gotten faster.\u0026rdquo; That was the moment I understood: the problem wasn’t the tool, but the structure—the structure set the ceiling on speed.\nSo we started \u0026ldquo;adding systems.\u0026rdquo;\nIn 2024, the organization began introducing large models more systematically—building platforms, creating middle layers, setting standards. On the surface, everything seemed to be progressing. But new problems quickly surfaced: the more complex the system, the slower the organization became. Middle managers grew busier, but not because they were making decisions—they were busy explaining systems, coordinating processes, and patching exceptions. Technology was advancing, but the organization was getting heavier.\nThat was when I first felt a strong sense of discomfort: were we using \u0026ldquo;intelligence\u0026rdquo; to reinforce a structure that should have been broken?\nThe real turning point came after a failure.\nA highly anticipated AI project didn’t die on the technical side—it died on collaboration. The model was fine, the data was fine, even the output was fine, but it just couldn’t be implemented. In the post-mortem, everyone had \u0026ldquo;done things right by the process,\u0026rdquo; yet no one took responsibility for the outcome. That was when I realized a harsh truth: when intelligence enters an organization, traditional accountability and collaboration mechanisms become sources of risk.\nFrom that point on, I began to truly understand \u0026ldquo;organizational evolution.\u0026rdquo;\nOrganizations aren’t just slow to adapt—their logic of evolution is fundamentally different from that of technology. Technology pursues capability leaps, while organizations pursue stability and control. When large models start to possess \u0026ldquo;judgment-like\u0026rdquo; abilities, the hierarchical structures, process controls, and approval systems originally designed to ensure stability begin to systematically suppress efficiency and creativity.\nAnd so, a new organizational form began to emerge.\nIt no longer emphasizes \u0026ldquo;who reports to whom,\u0026rdquo; but rather how capabilities can be rapidly mobilized. It no longer requires middle managers to \u0026ldquo;watch over people,\u0026rdquo; but instead asks them to design workflows and validation mechanisms. It no longer treats knowledge as static documents to be archived, but as a cyclical system that models can continuously learn from and feed back into the business.\nThis wasn’t a reform—it was an adjustment forced by reality.\nBy 2025, I finally understood one thing: large models haven’t changed the essence of organizations, but they have massively amplified their existing problems. A good structure gets amplified by intelligence into a lever; a bad structure gets amplified into a disaster.\nIt was at that moment that I developed a genuine sense of awe for \u0026ldquo;organizational evolution.\u0026rdquo;\nEvolution has never been a choice. When the environment changes, an organization either restructures itself or gets restructured. The only difference is whether it happens proactively or reactively.\nLooking back at those \u0026ldquo;just a tool\u0026rdquo; judgments from 2023, I don’t find them laughable. That’s the first reaction every organization has when facing a paradigm shift. The difference is that some organizations stop there, while others—pushed by reality—keep moving forward a few more steps.\nAnd those few steps often determine where they’ll stand in the next three to five years.\nThis may not be an article that offers answers, but it comes from a perspective that has made mistakes, moved too slowly, and been schooled by reality.\nIn the age of intelligence, what truly determines an organization’s fate is never the model itself—it’s whether you are willing to pay the price of structural restructuring for cognitive upgrade.\nThat’s a lesson I learned the hard way.\n","date":"2026-01-01","description":"From tools to structures, from efficiency to evolution—documenting real reflections on organizational change in the era of large models","permalink":"https://www.kingdeguo.com/en/2026/01/01/20232025-organizational-evolution-through-the-lens-of-large-models/","tags":["Large Models","Organizational Evolution","AI","Structural Restructuring","Technical Management","Organizational Change","Digital Transformation","Collaboration Mechanisms"],"title":"2023–2025: Organizational Evolution Through the Lens of Large Models"},{"categories":["Workplace Insights"],"content":"For a long time, I was genuinely drawn to the phrase \u0026ldquo;bottom-up.\u0026rdquo;\nIt sounds fair, open, and respectful of those on the front lines. Ideas can flow upward, problems can be seen, and smart people won\u0026rsquo;t be overlooked. From an individual perspective, it\u0026rsquo;s an incredibly appealing narrative. You work hard, you think, you speak up—and the world should respond in kind.\nBut over time, I realized that while this narrative is gentle on individuals, it isn\u0026rsquo;t necessarily gentle on organizations.\nOnce an organization grows, \u0026ldquo;bottom-up\u0026rdquo; is no longer a natural process. It becomes a mechanism that must be carefully designed, rigorously filtered, and constantly stripped of noise. Otherwise, it quickly devolves into three things: the upward surge of emotions, the generalization of local experience, and the moral judgment of complex decisions.\nAnd all of these slow an organization down.\nThat\u0026rsquo;s when you start to understand \u0026ldquo;top-down.\u0026rdquo;\nAt first, you resist it. It seems arbitrary, closed-off, lacking in empathy—even a little arrogant. But when you find yourself closer to the decision-making seat, you gradually realize: organizations don\u0026rsquo;t run on consensus. They survive on direction, rhythm, and trade-offs.\nTop-down, at its core, isn\u0026rsquo;t about issuing commands. It\u0026rsquo;s about compressing complexity.\nSomeone has to turn a fuzzy world into a finite set of options. Someone has to make the call when information is incomplete. Someone has to bear the cost of mistakes, not just offer opinions. In this sense, top-down isn\u0026rsquo;t a lack of trust in people—it\u0026rsquo;s a respect for time and resources.\nWhat truly changed my perspective was when I became part of \u0026ldquo;the top\u0026rdquo; myself.\nThat\u0026rsquo;s when I saw that the front line sees problems; the layer above sees the conflicts between those problems; and the layer above that sees the trade-offs—the things that simply cannot be had at the same time. A lot of the \u0026ldquo;why aren\u0026rsquo;t they listening to the people below?\u0026rdquo; isn\u0026rsquo;t about not listening at all. It\u0026rsquo;s about listening and realizing—you can\u0026rsquo;t listen to everyone.\nThat\u0026rsquo;s the cruelty of organizations.\nYou need the perceptual ability of bottom-up, or you\u0026rsquo;ll go blind. But you also must maintain the decisiveness of top-down, or you\u0026rsquo;ll become paralyzed. These two forces aren\u0026rsquo;t used in turns; they are in constant tension.\nWhat makes it even harder is that they correspond to two completely different psychological circuits.\nBottom-up emphasizes expression, participation, and being seen.\nTop-down emphasizes responsibility, restraint, and being misunderstood.\nMost organizational problems don\u0026rsquo;t come from choosing one side over the other. They come from pretending both can be infinitely true at the same time. Saying \u0026ldquo;let\u0026rsquo;s have a full discussion\u0026rdquo; while already having the answer in mind. Saying \u0026ldquo;execute quickly\u0026rdquo; while refusing to bear the consequences of the decision. In the end, neither side trusts the other.\nI\u0026rsquo;ve come to believe that a mature organization should instead make the boundaries clear. Which things are better judged by those below? Which things can only be shouldered by those above? Which feedback is truly useful, and which is just emotional release?\nThis doesn\u0026rsquo;t sound romantic, but it\u0026rsquo;s brutally honest.\nAnd for individuals, understanding this is crucial. You need to know: are you in a position where you\u0026rsquo;re expected to \u0026ldquo;contribute insights upward,\u0026rdquo; or where you\u0026rsquo;re expected to \u0026ldquo;execute decisions downward\u0026rdquo;? Otherwise, you\u0026rsquo;ll find yourself angry when you shouldn\u0026rsquo;t be speaking up, and resentful when you shouldn\u0026rsquo;t be staying silent.\nAn organization is never a one-way flow. It\u0026rsquo;s more like a gravity system that constantly recalibrates itself: some information needs to rise, and some decisions must sink. Once the gravity is off balance, the system begins to consume itself.\nUnderstanding this was one of the last tuition fees I paid—for the word \u0026ldquo;organization.\u0026rdquo;\n","date":"2025-12-31","permalink":"https://www.kingdeguo.com/en/2025/12/31/bottom-up-and-top-down-in-organizations/","tags":["Organizational Management","Authority and Accountability","Workplace Relationships","Leadership"],"title":"Bottom-Up and Top-Down in Organizations"},{"categories":["Workplace Insights"],"content":"In many organizations, things were simple in the early days. Goals were clear, tasks were concrete, and people moved forward on instinct, a sense of responsibility, and a bit of shared common sense. Then the business grew, headcount increased, and management became more \u0026ldquo;professional.\u0026rdquo; KPIs were introduced—and often with aggressive targets from the start. Growth had to be fast, metrics had to be tough, and results had to be immediately visible. The intention was usually good: use pressure to drive efficiency, use numbers to combat chaos.\nBut this is often where the trouble begins.\nWhen KPIs are set too aggressively, they stop being a mere \u0026ldquo;tool for aligning goals\u0026rdquo; and become a survival filter. The targets themselves exceed the boundaries of normal collaboration and rational execution. At that point, what employees truly need to solve is no longer \u0026ldquo;how to do the job well,\u0026rdquo; but \u0026ldquo;how do I survive?\u0026rdquo;\nOnce this state takes hold, the behavioral logic within the organization quietly shifts. Rules are no longer paramount; processes are no longer the most reliable. The most critical thing becomes one question: who are you aligned with?\nAnd so, the soil for a favoritism culture is prepared.\nUnder high-pressure KPIs, resources are inevitably scarce. There\u0026rsquo;s never enough time, enough people, enough budget, or enough room for error. In this environment, whoever can secure more support is more likely to hit their targets. Where does that support come from? Often, not from the system, but from relationships. Whether you are \u0026ldquo;one of us,\u0026rdquo; whether you are \u0026ldquo;trustworthy,\u0026rdquo; whether you have \u0026ldquo;chosen the right side\u0026rdquo; at critical moments—these things start to matter immensely.\nThis doesn\u0026rsquo;t necessarily stem from a manager\u0026rsquo;s self-interest; it\u0026rsquo;s a consequence forced by the aggressive targets themselves. When the formal system cannot support the goals, the informal system automatically steps in to fill the gap. Trust networks, personal preferences, and clique relationships become the \u0026ldquo;invisible operating system\u0026rdquo; that actually runs things. Over time, the organization may still talk about KPIs, processes, and systems on the surface, but underneath, it operates according to the logic of favoritism.\nWhat\u0026rsquo;s more subtle is that this culture often becomes \u0026ldquo;rationalized.\u0026rdquo; Those who hit their targets are seen as \u0026ldquo;capable\u0026rdquo; and \u0026ldquo;reliable,\u0026rdquo; while those who don\u0026rsquo;t—even if their process was perfectly sound—are easily labeled as \u0026ldquo;lacking execution\u0026rdquo; or \u0026ldquo;not working hard enough.\u0026rdquo; Outcome-based judgment overwhelms process-based judgment, and being on the right side of the hierarchy outweighs professional expertise. Over time, truly capable people who are not in the inner circle will gradually choose to stay silent, coast, or leave.\nFrom a manager\u0026rsquo;s perspective, this is a very insidious side effect with a high cost. In the short term, aggressive KPIs might indeed produce impressive numbers. But in the long run, they continuously erode the organization\u0026rsquo;s sense of fairness and foundation of trust. People stop trusting the system and only trust individuals; they stop believing in rules and only try to read the wind. The organization appears to be running at high speed, but it is increasingly dependent on a few key nodes. If those nodes fail, the entire system quickly becomes unbalanced.\nTrue mature management is not about constantly raising the KPI bar. It\u0026rsquo;s about clearly understanding: what kind of goals must rely on the system, and what kind of goals, once they exceed the system\u0026rsquo;s capacity, will inevitably breed relationship-based operations. The former is organizational capability; the latter is organizational regression.\nHealthy KPIs should force the system to evolve, not force people to form alliances. They should naturally bring visibility to \u0026ldquo;those who do the job well,\u0026rdquo; rather than making it easier for \u0026ldquo;those who stand next to the right people\u0026rdquo; to survive.\nWhen you find that people in an organization care more about \u0026ldquo;who you work for\u0026rdquo; than \u0026ldquo;whether this task itself is right,\u0026rdquo; it\u0026rsquo;s often not a people problem. It\u0026rsquo;s a sign that the targets have been set in the wrong range. KPIs are supposed to be the language of management, not an amplifier of power.\nA question worth asking repeatedly is: Can this KPI be achieved without relying on favoritism, without cutting corners, without leveraging personal connections? If the answer is no, the problem likely lies not with the execution layer, but with the target itself.\n","date":"2025-12-24","permalink":"https://www.kingdeguo.com/en/2025/12/24/overly-aggressive-kpis-are-a-breeding-ground-for-favoritism-culture/","tags":["Organizational Management","KPI","Workplace Culture","Authority and Accountability"],"title":"Overly Aggressive KPIs Are a Breeding Ground for Favoritism Culture"},{"categories":["Workplace Insights"],"content":"More often than not, silence is not a lack of stance, but a calculated response. What makes it complex is that the same act of \u0026ldquo;not speaking\u0026rdquo; can stem from two entirely different psychological states: one is deliberate restraint born of clarity, the other is withdrawal under pressure. From the outside, they look the same, but the person experiencing it knows the difference clearly.\nLet’s start with silence as a conscious choice. It typically emerges after someone has fully assessed the situation. You know that speaking up won’t change the outcome—it might even make things worse. You also know that some opinions don’t need to be voiced right now, and some judgments are better held in reserve, waiting for the right moment. This kind of silence is not weak. On the contrary, it often comes from experience, judgment, and a respect for complexity. It’s not that you have nothing to say; it’s that you choose not to say it—for now.\nIn organizations, this silence is common among seasoned managers or experienced professionals. They understand the difference between \u0026ldquo;the urge to express\u0026rdquo; and \u0026ldquo;effective expression.\u0026rdquo; Not every mistake needs to be pointed out in the moment, and not every disagreement is worth a public clash. Here, silence is a strategy—a way to preserve leverage for more important moments, to maintain control over the overall rhythm, rather than an escape from reality.\nBut silence has another side: it can be a passive defense. You stay quiet not because you’ve thought things through, but because you’re afraid, uncertain, or have been repeatedly dismissed. You worry that speaking up will bring risk, that you’ll be labeled, that you’ll become \u0026ldquo;the difficult one.\u0026rdquo; So you learn to observe first, to step back, to tuck away your real thoughts and replace them with safe statements—or no statement at all.\nThis kind of silence is rarely a single decision; it forms gradually. Maybe you tried to speak up at first, but you weren’t heard, or you were misunderstood, ignored, or interrupted. Over time, you reach a conclusion: staying silent costs the least. Silence is no longer a choice—it becomes an instinct, a mechanism of self-protection.\nWhat makes this particularly dangerous is that these two forms of silence look almost identical from the outside. An observer can’t tell whether you’re \u0026ldquo;holding the line\u0026rdquo; or \u0026ldquo;retreating into your shell.\u0026rdquo; But over the long term, their impact on a person is completely different. Silence as a conscious choice is reversible—you can speak up again at any time. Silence as a passive defense, however, slowly erodes your sense of presence, making you increasingly accustomed to being unheard.\nThis is also where many organizations go wrong. On the surface, meetings are quiet, decisions go smoothly, and there’s almost no conflict. But underneath, a mass of passive silence is piling up. It’s not that everyone agrees—it’s that many have stopped expressing themselves. In the end, the organization doesn’t just lose its voice; it loses its sensitivity to reality.\nFor individuals, an important self-check is this: Is your current silence rooted in judgment, or in fear? The former preserves your strength; the latter drains it. If you find yourself expressing your true thoughts less and less, even starting to wonder, \u0026ldquo;Is there any point in speaking up?\u0026quot;—that’s often not a sign of growing maturity, but of your defense mechanisms quietly taking over.\nSilence itself is neither right nor wrong. What matters is whether you still retain the power to choose. You can choose to speak, or choose not to. You can pause, or you can persist. But if you find that you \u0026ldquo;can only be silent,\u0026rdquo; it’s worth stopping to ask yourself: isn’t it time to reclaim the space to speak?\n","date":"2025-12-23","permalink":"https://www.kingdeguo.com/en/2025/12/23/silence-both-a-conscious-choice-and-a-passive-defense/","tags":["Workplace Relationships","Psychological Safety","Communication Strategy","Organizational Management"],"title":"Silence: Both a Conscious Choice and a Passive Defense"},{"categories":["Workplace Insights"],"content":"For a long time, I operated under a default assumption: as long as I did my job well within the organization, the resources would eventually follow. Skills, opportunities, perspectives, influence—these all seemed like things that \u0026ldquo;circulated internally.\u0026rdquo; If you positioned yourself correctly and put in your time, your turn would come.\nEventually, I realized that this very mindset was shutting out a lot of possibilities.\nOf course, an organization will give you resources, but it does so with a very clear premise: it only solves its own problems. What you get isn\u0026rsquo;t determined by what you lack, but by what the organization needs at that moment. When these two things don\u0026rsquo;t align, your growth hits a strange plateau. You work hard, you\u0026rsquo;re cooperative, but you feel stuck somehow.\nWhat really alerted me were some seemingly coincidental comparisons. Some people weren\u0026rsquo;t in core roles, yet they always seemed to know about changes in advance. Others weren\u0026rsquo;t in high positions, yet they were the ones \u0026ldquo;thought of\u0026rdquo; at critical moments. And some, after leaving the organization, actually achieved a faster leap in capability. Looking closely, their commonality wasn\u0026rsquo;t in their résumés, but outside the organization.\nIt turns out that many critical resources simply don\u0026rsquo;t circulate within the organization.\nCognition is the most obvious one. The consensus within an organization exists, essentially, for the sake of collaborative efficiency. It naturally tends toward stability and convergence. What you learn is \u0026ldquo;how to do this thing more steadily,\u0026rdquo; not \u0026ldquo;whether there are other possibilities for this thing.\u0026rdquo; The kind of cognition that truly breaks default assumptions often comes from people outside your same context.\nThen there\u0026rsquo;s information. I used to think information asymmetry was a matter of hierarchy, but I later realized it\u0026rsquo;s more a matter of networks. Many messages aren\u0026rsquo;t being blocked by someone; they simply don\u0026rsquo;t pass through you. Information flows along paths of trust and familiarity, and these paths often cross organizational boundaries. If you\u0026rsquo;re not in that network, you naturally \u0026ldquo;reasonably don\u0026rsquo;t know.\u0026rdquo;\nA more subtle one is the power to judge your value. Within an organization, who you are is usually defined by your history. Outside the organization, who you are depends more on what you can offer right now. The former emphasizes continuity, the latter emphasizes immediacy. If someone lives only within the former evaluation system for a long time, they can easily become \u0026ldquo;locked in\u0026rdquo; by their own past.\nGradually, I began to recognize a shift: a truly mature state isn\u0026rsquo;t about desperately demanding more from the organization, but about clearly understanding that some things the organization simply cannot provide.\nThis isn\u0026rsquo;t a denial of the organization, but a respect for its boundaries. Organizations are good at amplifying already-proven capabilities, but they aren\u0026rsquo;t responsible for covering all your growth risks. If you pin all your expectations on the internal organization, any adjustment, restructuring, or contraction will leave you feeling unmoored.\nConversely, those who build connections outside the organization are often more at ease. They aren\u0026rsquo;t ready to leave at a moment\u0026rsquo;s notice, but they always know: if one path is blocked, there are other places to draw support. Even if they don\u0026rsquo;t need it right now, this ability to \u0026ldquo;know where to look\u0026rdquo; is itself a resource.\nSo, the question is never just \u0026ldquo;what are we lacking now,\u0026rdquo; but a more practical one: when the organization can\u0026rsquo;t give me these things for the time being, do I have other entry points? Is there someone else who is willing and able to hand these resources to me?\nWhen you start thinking this way, your relationship with the organization has already quietly changed. You are no longer just standing within the structure, waiting for distribution. Instead, you are preparing redundancy for yourself outside the structure.\nThis redundancy may not be immediately useful, but it ensures that when change comes, you won\u0026rsquo;t be left with only one path forward. And it is in this sense that the world outside the organization doesn\u0026rsquo;t determine whether you leave—it determines whether you have a choice.\n","date":"2025-12-22","permalink":"https://www.kingdeguo.com/en/2025/12/22/outside-the-organization-who-has-the-resources-youre-missing/","tags":["Workplace Relationships","Organizational Management","Cognitive Upgrading","Personal Growth"],"title":"Outside the Organization, Who Has the Resources You're Missing?"},{"categories":["Workplace Insights"],"content":"Often, control is not exerted through commands but through promises. It doesn\u0026rsquo;t force you to do anything; it simply keeps telling you: hold on a little longer, things will get better later. A bigger stage, a more important role, a freer life—all beckon to you from the future. There\u0026rsquo;s only one condition: set aside the present for now.\nThis narrative is effective because it precisely targets a psychological vulnerability. The future is vague, but precisely because of that vagueness, it can be infinitely romanticized. The present is concrete, and because of that concreteness, it feels trivial, arduous, and full of uncertainty. So, it\u0026rsquo;s easy for people to rationalize their present overexertion through their imagination of the future.\nWithin organizations, this logic is not uncommon. Overtime is packaged as a \u0026ldquo;growth opportunity,\u0026rdquo; low compensation is explained as a \u0026ldquo;long-term investment,\u0026rdquo; and vague promotion paths are called \u0026ldquo;potential space.\u0026rdquo; You are encouraged to continuously compress your time, energy, and even your value judgments for a future that hasn\u0026rsquo;t been clearly defined. Whenever you raise a question, the typical response is: \u0026ldquo;Take a loss now, and your future will be different.\u0026rdquo;\nThe problem is that the future is not an automatically cashed check. It requires clear mechanisms, verifiable paths, and sustained positive feedback in reality. If there are only verbal promises without structural guarantees, then the so-called future is likely just a rhetoric for delayed payment. The present you sacrifice is real and tangible, while that brilliant future may never have been seriously designed.\nMore insidiously, this logic slowly alters a person\u0026rsquo;s cognitive framework. You begin to habitually ignore your present feelings, normalize fatigue, rationalize the unreasonable as a temporary phase, and treat chronic imbalance as a form of personal cultivation. Over time, you may even actively defend this sacrifice, because denying it would mean negating the meaning of all your past \u0026ldquo;endurance.\u0026rdquo;\nFrom a management perspective, this is a high-risk system. An organization that relies on \u0026ldquo;future promises\u0026rdquo; to operate often lacks respect for the present experience and lacks genuine feedback mechanisms. In the short term, it may be highly efficient, but in the long run, it easily erodes trust. Once the promises cannot be fulfilled, the organization quickly loses cohesion, as people realize that what they sacrificed wasn\u0026rsquo;t just time, but a present that was systematically ignored.\nFor individuals, maturity isn\u0026rsquo;t about not striving for the future; it\u0026rsquo;s about recognizing the boundary between effort and sacrifice. Healthy growth should allow the future to gradually manifest in the present, rather than relying entirely on imagination. A truly healthy path is one where you can feel some form of accumulation in the here and now, not just one-way depletion.\nPromising a future is not inherently wrong. The problem arises when it is used to perpetually mortgage the present without offering clear conditions for fulfillment. At that point, it ceases to be motivation and becomes a gentle but persistent form of deprivation. Whether within an organization or in personal choices, it\u0026rsquo;s worth repeatedly asking: Is this future truly moving toward me, or is it just a way to keep me from taking the present seriously?\nWhen a person begins to revalue the present, it doesn\u0026rsquo;t mean they are giving up on the long term. It means they are no longer using fantasy to pay for the irrationalities of reality. A future truly worth investing in should leave its mark on the present.\n","date":"2025-12-21","permalink":"https://www.kingdeguo.com/en/2025/12/21/promising-a-brilliant-future-while-sacrificing-your-present/","tags":["Workplace Relationships","Organizational Management","Authority and Accountability","Psychological Safety"],"title":"Promising a Brilliant Future While Sacrificing Your Present"},{"categories":["Workplace Insights"],"content":"Many people, when learning management, instinctively look for a teacher. They seek out gurus, models, and success stories—ideally a \u0026ldquo;proven\u0026rdquo; methodology they can follow and apply with confidence. But the deeper you go into management, the more you realize a fundamental truth: unlike mathematics or physics, management has no stable theorems or standard answers. What truly determines how far you go is never how great your teacher is, but whether you, as a student, possess the ability to continuously learn, reflect, and adjust.\nManagement knowledge is, by nature, highly contextual. The same theory can yield completely opposite results in different industries, at different stages, or within different team structures. What a teacher can offer is often just \u0026ldquo;what others did under certain conditions.\u0026rdquo; But once those conditions change, the answer no longer holds. This means management cannot be fully \u0026ldquo;taught\u0026rdquo;—it can only be continuously \u0026ldquo;learned.\u0026rdquo; And the key to learning lies not at the podium, but in practice.\nThe most dangerous managers are often those who \u0026ldquo;learn the fastest.\u0026rdquo; They are fluent in jargon, tossing around models and frameworks with ease, looking well-trained—yet they easily mistake methods for truths and experience for laws. When reality deviates from the textbook, they fall into confusion or even anxiety. The problem isn\u0026rsquo;t that the world has gone wrong; it\u0026rsquo;s that they have stopped being students.\nGood managers almost always share one trait: they maintain a long-term learner\u0026rsquo;s mindset. They don\u0026rsquo;t rush to conclusions; they observe first. They don\u0026rsquo;t rush to apply methods; they seek to understand the problem first. They don\u0026rsquo;t rush to prove they know management; they repeatedly check, \u0026ldquo;Am I seeing this correctly?\u0026rdquo; For them, management is not a course you finish and master, but a continuously running cognitive system.\nFrom this perspective, the role of a teacher is actually quite limited. No matter how good the teacher, they can only offer perspectives, experiences, and warnings—they cannot bear the responsibility of judgment for you. What truly matters is your ability to transform external knowledge into internal understanding, and then continuously validate and adjust through action. This is a highly proactive way of learning, even a bit lonely, because no one can tell you the standard solution for your current situation.\nThe reason there is no best teacher in management is also because reality itself changes too fast. Organizational structures evolve, employee demographics shift, technology advances, and incentive models transform. What was revered as gospel yesterday may become a burden today. In such an environment, the most reliable thing is not an authority figure, but your own ability as a student to update your understanding.\nUltimately, management tests not your memory, but your learning agility; not how many courses you\u0026rsquo;ve taken, but how many times you\u0026rsquo;ve genuinely adjusted your understanding after failures and deviations. Truly mature managers rarely emphasize \u0026ldquo;what they have learned\u0026rdquo;; instead, they care more about \u0026ldquo;what they are still learning.\u0026rdquo;\nSo, rather than searching everywhere for the best teacher, focus your energy on becoming the best student. A person willing to keep learning, constantly adjusting, and maintaining humility before reality—even without a master to guide them—can still carve their own path through the complexities of management practice.\n","date":"2025-12-20","permalink":"https://www.kingdeguo.com/en/2025/12/20/in-management-there-are-no-best-teachers-only-best-students/","tags":["Management Practice","Learning Agility","Cognitive Upgrade","Workplace Insights"],"title":"In Management, There Are No Best Teachers, Only Best Students"},{"categories":["Workplace Insights"],"content":"Many people regard writing as a \u0026ldquo;mental task.\u0026rdquo; As if, once you\u0026rsquo;ve thought things through clearly, the words will naturally fall onto the page. But those who have written for any length of time know this is an illusion. Writing is more like labor than calculation. It doesn\u0026rsquo;t wait for clarity before beginning; rather, in the repeated act of putting pen to paper, it forces you to turn the vague into the concrete and transform chaotic feelings into structure.\nThe essence of labor has never been \u0026ldquo;knowing how to do it,\u0026rdquo; but rather \u0026ldquo;doing it.\u0026rdquo; A farmer certainly knows how crops grow, but without stepping into the field, that knowledge is meaningless. A worker understands how a machine works, but without operating it, no output appears out of thin air. The same goes for writing. You can read many books and ponder many principles, but if you don\u0026rsquo;t write, these understandings remain at the conceptual level—neither solid nor reliable.\nThe key to physical engagement lies in \u0026ldquo;feedback.\u0026rdquo; Labor immediately tells you where your force is misapplied or where a step has gone wrong. Writing does the same. When a sentence won\u0026rsquo;t flow, it\u0026rsquo;s often not a vocabulary issue but a break in your train of thought. When a paragraph feels hollow, it usually means you haven\u0026rsquo;t truly thought it through. Words act like a cool, clear mirror, mercilessly reflecting the gaps in your cognition.\nThat is precisely why writing is such an honest form of labor. Unlike conversation, where vague expressions can get you by, or thinking, where you can endlessly revise in your mind without leaving a trace, every word you write down is a frozen snapshot of your current level of understanding. You may not be satisfied with it, but it exists authentically, and that very existence is the prerequisite for progress.\nFrom this perspective, writing is not the endpoint of expression, but the production process of cognition. Many people truly \u0026ldquo;figure things out\u0026rdquo; only in the act of writing. Just as labor isn\u0026rsquo;t about proving you\u0026rsquo;re diligent but about producing results, the value of writing lies not in the posture but in its power to compel you to complete a full cycle of thought.\nThose who persist in writing over the long term often develop a steady rhythm. This rhythm closely resembles that of physical labor: it relies not on bursts of inspiration, but on sustained effort; it doesn\u0026rsquo;t aim for perfection in one go, but for continuous approximation. It is in this repetition that judgment, structural sense, and expressive ability are gradually honed.\nIn an era that prizes efficiency and tools, writing can seem somewhat \u0026ldquo;clumsy.\u0026rdquo; It is slow, laborious, and offers uncertain returns. Yet it is precisely because of this clumsiness that it preserves the most primal value of labor—the ability to change oneself through hands-on doing. Like labor, writing won\u0026rsquo;t give you answers immediately, but it will gradually make you a clearer-headed and more reliable person.\n","date":"2025-12-19","permalink":"https://www.kingdeguo.com/en/2025/12/19/like-labor-writing-is-a-form-of-physical-engagement/","tags":["writing","thinking","cognitive upgrade","personal growth"],"title":"Like Labor, Writing Is a Form of Physical Engagement"},{"categories":["Workplace Insights"],"content":"Once you start thinking, it\u0026rsquo;s hard to avoid encountering contradictions. Experience tells us something is feasible, yet data suggests it\u0026rsquo;s not replicable; theory says it should be one way, but reality stubbornly goes the opposite.\nMany people rush to pick a side at such moments, flattening the world into \u0026ldquo;right or wrong.\u0026rdquo; But truly valuable thinking often lies not in eliminating contradictions, but in moving forward within them.\nContradictions don\u0026rsquo;t necessarily mean someone is wrong. More often, they represent conclusions from different levels appearing at the same time. Short-term versus long-term, local versus global, efficiency versus safety—these don\u0026rsquo;t even exist in the same coordinate system. Forcing them into alignment only yields an answer that appears consistent but is actually distorted. Acknowledging the existence of contradictions is, in fact, the most basic respect we can pay to a complex world.\nIn the journey of cognitive growth, many breakthroughs occur during the phase of \u0026ldquo;not being able to figure it out.\u0026rdquo; Old explanations have failed, new ones have yet to take shape, and the gray zone in between is unsettling yet profoundly important. Jumping to conclusions too quickly means replacing understanding with familiarity; being willing to linger a little longer in contradiction gives us a chance to reconstruct our cognitive framework.\nContinuing to think does not mean endless procrastination; it means refusing to gloss over complex problems with simple answers. When contradictions cannot be eliminated, they can be deconstructed, layered, or set aside for now. Many problems don\u0026rsquo;t need to be \u0026ldquo;solved\u0026rdquo; right away—they need to be continuously re-understood as conditions change.\nOver a longer time horizon, the insights that truly drive personal and organizational evolution almost always emerge from contradictions. They are not derived linearly, but gradually take shape through repeated tension and pull. The depth of your thinking is determined by how much of that tension you can endure.\n","date":"2025-12-18","permalink":"https://www.kingdeguo.com/en/2025/12/18/thinking-through-contradictions/","tags":["Thinking Methods","Cognitive Upgrades","Handling Contradictions","Deep Thinking"],"title":"Thinking Through Contradictions"},{"categories":["Workplace Insights"],"content":"Spend enough time in an organization, and you\u0026rsquo;ll gradually notice something intriguing: many \u0026ldquo;important things\u0026rdquo; aren\u0026rsquo;t things you don\u0026rsquo;t know—they\u0026rsquo;re things you find out too late.\nBy the time you actually hear the news, it has already been interpreted, softened, packaged, and even transformed into \u0026ldquo;a result that no longer matters to you.\u0026rdquo; The truth hasn\u0026rsquo;t disappeared; it has simply been filtered layer by layer before reaching you.\nAt first, I didn\u0026rsquo;t pay much attention to this filtering. Organizations naturally need hierarchies and division of labor—some information simply can\u0026rsquo;t and doesn\u0026rsquo;t need to be shared with everyone simultaneously.\nIt wasn\u0026rsquo;t until later that I realized many critical judgment errors aren\u0026rsquo;t about competence, but about the information structure itself being flawed. You didn\u0026rsquo;t make the wrong call; the information you relied on was already a \u0026ldquo;processed version.\u0026rdquo;\nWhy does information get filtered? The most superficial reason is efficiency. Managers often say you can\u0026rsquo;t pass everything upward or push everything downward, or the organization will drown in information. So filtering becomes a \u0026ldquo;reasonable management practice.\u0026rdquo;\nBut the deeper reason is actually risk. Every transmission of information carries responsibility; every exposure of reality brings potential uncertainty. Filtering is essentially \u0026ldquo;making judgments in advance\u0026rdquo; for the level above, while also shielding oneself from risk.\nThe problem is that filtering is never neutral. Once information is selectively presented, it ceases to be just facts and begins to carry bias. Bad news gets softened, ambiguous issues get summarized as \u0026ldquo;manageable,\u0026rdquo; and unresolved disagreements get packaged as \u0026ldquo;consensus already reached.\u0026rdquo;\nIn this process, the organization appears increasingly stable, but the complexity of the real world is quietly walled off.\nThus, a common scenario emerges: the person who actually makes the final decision is often the last to know the real situation. By the time the problem becomes unavoidable, the truth arrives only in the form of a \u0026ldquo;result\u0026rdquo;—declining performance, failed projects, key talent leaving. When you later review the situation, everyone seems rational and can clearly point out \u0026ldquo;the signs were there all along,\u0026rdquo; but those signs never fully reached the people who needed to see them.\nThis isn\u0026rsquo;t entirely an individual moral failing; it\u0026rsquo;s the natural outcome of organizational mechanisms evolving over time. Filtering upward is self-protection; simplifying downward is a management habit.\nOver time, organizations develop a subtle tacit understanding: don\u0026rsquo;t overstate things that are real, uncertain, or yet to be defined; only conclusions that can be executed are worth passing along. Information flows more smoothly, but cognition becomes increasingly flat.\nFiltered messages don\u0026rsquo;t ultimately bring order—they bring cognitive lag. Decision-makers operate in a \u0026ldquo;tidied-up world,\u0026rdquo; appearing calm but actually in danger. Because real risk lies precisely in the details that were omitted. You think the situation is under control because you\u0026rsquo;ve never truly touched its complexity.\nFrom a management perspective, this is also why many organizations perform well in favorable conditions but react sluggishly to dramatic change. It\u0026rsquo;s not that people aren\u0026rsquo;t smart; it\u0026rsquo;s that living long-term in a filtered information environment has dulled their sensitivity to reality. When the environment stops following the script, everyone is caught off guard.\nIf there\u0026rsquo;s a solution, it\u0026rsquo;s not necessarily \u0026ldquo;eliminating filtering.\u0026rdquo; Organizations can\u0026rsquo;t return to a state of complete information transparency. What truly matters is maintaining vigilance about \u0026ldquo;filtering itself.\u0026rdquo; Managers must recognize that what they hear is never the full picture; and executors must understand that over-judging on behalf of superiors may be safe in the short term, but in the long run, it weakens the organization\u0026rsquo;s immune system.\nA healthier organization often allows \u0026ldquo;incomplete information\u0026rdquo; to flow upward, allows problems to exist as problems rather than rushing to provide answers. It values real signals over polished reports. This may seem to add noise, but it actually reduces cognitive bias.\nFiltered messages determine when you learn the truth; whether you\u0026rsquo;re aware of this filtering determines whether you still have a chance to adjust your direction. Often, true management ability isn\u0026rsquo;t about controlling more information—it\u0026rsquo;s about staying soberly aware that what you\u0026rsquo;re seeing right now may only be the part the world is willing to show you.\n","date":"2025-12-17","permalink":"https://www.kingdeguo.com/en/2025/12/17/filtered-messages-the-truth-you-learn-last/","tags":["Organizational Management","Information Flow","Decision-Making Mechanisms","Cognitive Bias","Management Philosophy"],"title":"Filtered Messages, the Truth You Learn Last"},{"categories":["Workplace Insights"],"content":"In recent years, nearly every company has been talking about collaborative work, and almost all of them inevitably touch on a key term: digitalization.\nMigrating systems to the cloud, putting processes online, and making information visible have all been hailed as markers of organizational evolution. Many managers hold an implicit assumption: as long as everyone is on the system, collaboration will naturally happen. But after actually going through the process for a while, there\u0026rsquo;s often an unspoken sense of disappointment—the tools are all in place, people are busy, yet the organization hasn\u0026rsquo;t become smoother as a result. Instead, a new layer of friction has been added.\nMy own understanding of this has gone through a clear shift. Early on, I also believed that the core of collaboration lay in \u0026ldquo;aligning information,\u0026rdquo; and the most direct way to achieve that was through tools and systems. So we kept introducing new platforms, trying to cover more scenarios with increasingly comprehensive systems. Until one day, I realized a counterintuitive phenomenon: the more complete the system, the more teams relied on \u0026ldquo;waiting for the process\u0026rdquo; or \u0026ldquo;checking the system.\u0026rdquo; Collaboration was no longer an active behavior but had become a passive execution.\nThe problem isn\u0026rsquo;t with the tools themselves, but with how we understand collaboration. Collaborative work has never been about \u0026ldquo;moving behaviors online\u0026rdquo;; it\u0026rsquo;s about \u0026ldquo;how an organization forms shared judgment.\u0026rdquo;\nDigitalization solves the problem of \u0026ldquo;seeing,\u0026rdquo; but not of \u0026ldquo;understanding.\u0026rdquo; It solves \u0026ldquo;synchronization,\u0026rdquo; but not \u0026ldquo;alignment.\u0026rdquo; When managers focus only on whether the data has been uploaded or whether the process is running smoothly, while ignoring the underlying cognitive logic, collaboration becomes a form of performative diligence.\nThis has become especially evident in the post-pandemic era. With remote and hybrid work becoming the norm, many organizations quickly filled the gaps with online tools, only to find that the sense of team rapport was actually declining. On the surface, everyone is online at all times, but in reality, it\u0026rsquo;s becoming harder to gauge each other\u0026rsquo;s true status and priorities. Collaborative tools make information more dense, yet also more fragmented; communication becomes more frequent, yet lacks context. Over time, what people learn isn\u0026rsquo;t \u0026ldquo;how to collaborate,\u0026rdquo; but \u0026ldquo;how to protect themselves within the system.\u0026rdquo;\nFrom this perspective, what collaborative work truly tests is whether an organization has a mature \u0026ldquo;capacity for consensus building.\u0026rdquo; Are goals truly understood, or merely announced? Are responsibilities genuinely taken on, or simply distributed? Are decisions actually made, or endlessly debated? Tools can record these outcomes, but they cannot replace the processes themselves. If an organization cannot function without its systems, the problem lies not with the systems, but with the organization itself.\nThis is also why some teams collaborate smoothly with relatively simple tools. They may not document everything, but they share a high degree of implicit understanding about \u0026ldquo;what matters,\u0026rdquo; \u0026ldquo;who decides,\u0026rdquo; and \u0026ldquo;when to stop.\u0026rdquo; The role of the system here is not to command how people work, but to help reduce unnecessary friction, freeing up energy for the areas that truly require judgment. Conversely, if an organization lacks this foundational capability, the system will only solidify the chaos.\nWhen many companies talk about digital transformation, they often complete the \u0026ldquo;digital\u0026rdquo; part but fail to achieve the \u0026ldquo;transformation.\u0026rdquo; Digitalization is not about copying offline processes online; it forces organizations to re-examine: which things are worth being turned into processes, and which must be left to human judgment; which information needs to be transparent to everyone, and which is better kept within a small circle. Behind all this lies a fundamental shift in management philosophy, not just the success of an IT project.\nThe same logic applies to collaborative capability. It cannot be built through a few tool training sessions or a set of collaboration guidelines. It comes from long-term management choices: Are you willing to let different teams act before they are fully aligned? Can you accept short-term duplication and friction in exchange for lower long-term understanding costs? Do you truly prioritize \u0026ldquo;aligning cognition\u0026rdquo; over \u0026ldquo;executing actions\u0026rdquo;? These choices determine whether collaboration is alive and dynamic, or flattened by processes.\nSo, when we talk about collaborative work again, perhaps we should start from a different place. Instead of asking \u0026ldquo;what tools should we use,\u0026rdquo; we should first ask, \u0026ldquo;do we already have the organizational conditions for collaboration?\u0026rdquo; Tools are always the outcome, never the cause. True collaboration happens outside the system, but it is amplified within it. Only when an organization understands this will collaborative work avoid becoming an expensive yet hollow digital performance.\n","date":"2025-12-16","permalink":"https://www.kingdeguo.com/en/2025/12/16/collaborative-work-is-an-organizational-capability-not-just-a-tool/","tags":["Organizational Management","Collaborative Work","Digital Transformation","Consensus Mechanisms","Management Philosophy"],"title":"Collaborative Work Is an Organizational Capability, Not Just a Tool"},{"categories":["Workplace Insights"],"content":"I used to be a believer in \u0026ldquo;control.\u0026rdquo; In the early days of management, faced with team chaos and inefficiency, establishing processes and breaking down KPIs seemed like the only way to bring certainty. This approach worked well for a time—processes aligned actions, and metrics drove results.\nBut trouble quietly took root. As the organization grew and business complexity increased, control began to sour. Layers of processes and rules piled up, managers\u0026rsquo; burdens grew heavier, and the organization\u0026rsquo;s responsiveness became increasingly sluggish. Then came the most dangerous signal: everyone was \u0026ldquo;executing the process correctly,\u0026rdquo; but the results were wrong. Projects were completed on schedule, yet the direction had been off from the start. All metrics were met, but user experience kept declining. No one was accountable, because every individual was flawless within the process.\nI came to realize that the core limitation of control is that it can only manage \u0026ldquo;actions,\u0026rdquo; not \u0026ldquo;judgment.\u0026rdquo; When work revolves around standardized operations, control is effective. But when the core shifts to cognition, creativity, and problem-solving, control hits a ceiling. You can prescribe steps, but you cannot prescribe the quality of thinking.\nThus, the organization finds itself in a dilemma: without control, there is fear of disorder; with excessive control, it defies common sense. Processes keep multiplying, simply because they have become the safest \u0026ldquo;liability shield.\u0026rdquo; In the end, the organization begins to serve the process, rather than the process serving the organization.\nIt is precisely in this predicament that the value of \u0026ldquo;replacing control with perception\u0026rdquo; becomes apparent. Perception here does not mean making decisions based on gut feelings; rather, it is a continuous ability to understand the real business context. It demands that managers stay closer to the front line, grasp the meaning behind information, rather than just looking at milestones on a report.\nThe core of perception-based management lies in establishing \u0026ldquo;context,\u0026rdquo; not imposing \u0026ldquo;control.\u0026rdquo; When you cannot micromanage every judgment, the only viable approach is to help the team collectively understand \u0026ldquo;where we are,\u0026rdquo; \u0026ldquo;what truly matters,\u0026rdquo; and \u0026ldquo;where the boundaries lie.\u0026rdquo; Within a clear context, capable people can make far more reasonable decisions than rigid processes could ever dictate.\nIt must be made clear that perception is a more demanding management model than control. Control can be outsourced to systems; perception cannot. It requires managers to continuously absorb first-hand information, assess trends, calibrate direction, and take responsibility for ambiguous decisions. This is also why many organizations, despite knowing that control is failing, still rely on it—because processes at least provide something to \u0026ldquo;hold onto.\u0026rdquo;\nPerception is not a universal solution; it has strict prerequisites: reliance on the expertise of knowledge workers, relative transparency of information, and managers staying close to the business front line. Without these conditions, talking about perception only amounts to laissez-faire.\nI do not completely reject control. Control addresses \u0026ldquo;how to do it,\u0026rdquo; while perception answers \u0026ldquo;what to do\u0026rdquo; and \u0026ldquo;why to do it.\u0026rdquo; Mature management lies in making wise trade-offs between \u0026ldquo;relying on processes\u0026rdquo; and \u0026ldquo;stepping ahead of processes to use judgment as a safety net.\u0026rdquo;\nReplacing control with perception is not fundamentally about delegating authority; it is about taking back into your own hands the responsibilities that processes have obscured.\n","date":"2025-12-15","permalink":"https://www.kingdeguo.com/en/2025/12/15/replace-control-with-perception/","tags":["Management Practices","Organizational Management","Decision-Making Mechanisms","Trust Mechanisms"],"title":"Replace Control with Perception"},{"categories":["Workplace Insights"],"content":"Many management problems appear to occur during execution, but in reality, they are already determined before the work even begins.\nYou only start chasing progress when a project is already out of control. You only pull people together to align when collaboration has already stalled. You only hold a retrospective when the results fall short. None of these actions are wrong, but they share one thing in common: management intervenes too late.\nThey happen at the stage where \u0026ldquo;results have already begun to take shape\u0026rdquo;—they are post-hoc corrections, not pre-hoc design.\nI once mistook this kind of busyness for management competence. Wherever there was a problem, I showed up. Wherever there was a risk, I stepped in. In the short term, the organization seemed stable. But in the long term, it became increasingly dependent on individual judgment. The system didn\u0026rsquo;t get stronger; the manager was simply forced to become a buffer.\nOver time, I came to realize a more fundamental issue: if management always exerts its force during execution, it is essentially gambling against probability.\nOnce a task is set in motion, variables multiply exponentially. Differences in understanding, changes in context, and information decay are all amplified during execution. The harder you push during the process, the more it reveals how much ambiguity was left unresolved beforehand. And that ambiguity could have been addressed in advance.\nTruly effective management often happens where things have \u0026ldquo;not yet occurred.\u0026rdquo;\nFor example, before tasks are broken down, clarify \u0026ldquo;under what circumstances can decisions be made autonomously, and when must they be escalated?\u0026rdquo; Before a plan is finalized, define \u0026ldquo;which failures are we willing to pay for?\u0026rdquo; As soon as a goal is proposed, align on \u0026ldquo;is this an exploratory goal or a delivery goal?\u0026rdquo;\nThese discussions may seem slow and even frustrating in the moment. But their value lies in this: they compress the uncertainty of the execution phase.\nOnce you enter the execution phase, the team is no longer asking \u0026ldquo;what should we do?\u0026rdquo; but rather \u0026ldquo;by which principle should we act?\u0026rdquo;\nFrom this perspective, shifting the focus of management forward is essentially doing one thing: turning implicit judgments into explicit consensus in advance.\nThe reason many organizations experience constant friction during execution is not a lack of capability, but that people are operating with different \u0026ldquo;built-in rules\u0026rdquo; for making decisions. When a manager constantly intervenes during execution, they are temporarily unifying those rules on the fly. But this kind of unification is neither replicable nor scalable.\nThe significance of pre-process management is to complete this \u0026ldquo;rule alignment\u0026rdquo; ahead of time.\nThere is another often-overlooked point: when management\u0026rsquo;s focus stays on execution for too long, the organization gradually develops a dangerous psychological expectation—\u0026ldquo;someone will step in to save the day eventually.\u0026rdquo;\nOnce this expectation takes hold, individual judgment naturally deteriorates. Not because people are lazy, but because the system rewards \u0026ldquo;waiting for instructions.\u0026rdquo; Over time, the busier the manager gets, the more passive the team becomes. What looks like seamless coordination is actually collective degradation.\nShifting management forward sends a strong signal to the organization: judgment is not concentrated at the last moment, but distributed from the very beginning.\nThis also reshapes the role of the manager. You are no longer the \u0026ldquo;final arbiter\u0026rdquo; in the execution chain, but the \u0026ldquo;designer\u0026rdquo; of the decision-making environment. Your focus shifts from whether things are going the way you want to: if you weren\u0026rsquo;t there, would things still go roughly right?\nOf course, this style of management doesn\u0026rsquo;t feel \u0026ldquo;satisfying\u0026rdquo; in the moment. It lacks immediate feedback and is hard to justify with short-term results. You do a lot of invisible preparation that doesn\u0026rsquo;t map directly to any single outcome. But over time, it becomes clear that the periods with the fewest problems are often the periods when management is most effective.\nSo, shifting the focus of management from in-process to pre-process is not about managing less, but about managing differently. It\u0026rsquo;s not about solving problems faster, but about making fewer problems occur. It\u0026rsquo;s not about pursuing the correctness of every intervention, but about pursuing the long-term stability and self-consistency of the system.\nIf the managers in an organization become increasingly \u0026ldquo;quiet\u0026rdquo; and yet firefighting becomes rare, that is often not a sign of retreat, but a sign that management has truly begun to work.\n","date":"2025-12-14","description":"Many management problems appear to occur during execution, but in reality, they are already determined before the work even begins.","permalink":"https://www.kingdeguo.com/en/2025/12/14/shift-the-focus-of-management-from-in-process-to-pre-process/","tags":["Management Practices","Pre-Process Management","Systems Thinking","Decision-Making Mechanisms","Organizational Design"],"title":"Shift the Focus of Management from In-Process to Pre-Process"},{"categories":["Workplace Insights"],"content":"When I first started managing, I had no concept of \u0026ldquo;exertion.\u0026rdquo; When the team ran into problems, I\u0026rsquo;d crack down hard; when metrics dropped, I\u0026rsquo;d work around the clock; when things were calm for a while, I\u0026rsquo;d unconsciously let go, thinking the system was \u0026ldquo;running smoothly.\u0026rdquo;\nLooking back, what I was doing wasn\u0026rsquo;t management—it was emotionally driven intervention: either too forceful or completely absent.\nUntil one day, I realized a long-overlooked truth: management isn\u0026rsquo;t a one-time action; it\u0026rsquo;s a rhythmic, sustained behavior.\nMany management problems don\u0026rsquo;t stem from wrong directions, but from \u0026ldquo;gaps\u0026rdquo; in action. You emphasized a value once last month but didn\u0026rsquo;t mention it this month—the team will automatically deprioritize it. You rigorously enforced a process at the start of the year but didn\u0026rsquo;t follow up—the process will quickly become a formality. You personally participated in cross-departmental collaboration a few times, then stepped away—the quality of collaboration naturally declines. This isn\u0026rsquo;t because people are bad; it\u0026rsquo;s because the system is reverting to its default state by inertia.\nOrganizations have a brutal characteristic: without continuous input signals, something effectively doesn\u0026rsquo;t exist.\nThe frequency of management actions is essentially a fight against \u0026ldquo;organizational entropy.\u0026rdquo; As soon as you stop applying stable management signals, the organization slides toward its lowest energy state—less communication, less accountability, less risk-taking, less thinking. This isn\u0026rsquo;t a moral issue; it\u0026rsquo;s a systems issue. Systems will always choose the path of least resistance.\nMany managers mistakenly believe that once they design a system, explain the principles, and set goals, the system will \u0026ldquo;run on autopilot.\u0026rdquo; But the reality is that systems need to be repeatedly activated, principles need to be constantly referenced, and goals need to be continuously aligned. Management actions without frequency are like a spinning top that you only set direction for once a year—it may look like it\u0026rsquo;s spinning fast, but it\u0026rsquo;s already veering off course.\nFrequency doesn\u0026rsquo;t equal intensity. Truly mature management is often low-intensity but high-repetition. It\u0026rsquo;s not about landing one heavy punch, but about maintaining a steady rhythm. Think regular one-on-ones, periodic retrospectives, and consistent, predictable feedback mechanisms. Each individual action may not seem \u0026ldquo;powerful,\u0026rdquo; but it\u0026rsquo;s precisely these that shape organizational behavior over the long term.\nThere\u0026rsquo;s a common misconception here: many people interpret \u0026ldquo;trust\u0026rdquo; as reducing management actions. In truth, trust doesn\u0026rsquo;t mean absence. Real trust means giving space within a stable management rhythm, not letting go completely. When management frequency drops to zero, the team doesn\u0026rsquo;t receive trust—they receive uncertainty.\nFrom a systems theory perspective, management actions are themselves a continuous feedback mechanism. Feedback that\u0026rsquo;s too dense causes system oscillation; feedback that\u0026rsquo;s too sparse causes system drift. The value of frequency lies in keeping the system in a state that is \u0026ldquo;perceivable, correctable, and predictable.\u0026rdquo; When the team knows you\u0026rsquo;ll look, you\u0026rsquo;ll ask, and you\u0026rsquo;ll be there, that knowledge alone changes behavior.\nOver time, I came to realize that what a manager truly needs to cultivate isn\u0026rsquo;t \u0026ldquo;when to act,\u0026rdquo; but \u0026ldquo;how often to act.\u0026rdquo; You don\u0026rsquo;t need to meddle in everything, but you need to exist with a steady rhythm. Like a heartbeat—you don\u0026rsquo;t have to think about it, but the moment it stops, the system collapses.\nSo, when we reflect on management failures, perhaps we can ask ourselves a different question: Not \u0026ldquo;Am I doing enough?\u0026rdquo; but \u0026ldquo;Am I doing it consistently enough?\u0026rdquo; Not \u0026ldquo;Is this action right?\u0026rdquo; but \u0026ldquo;Does this action have a frequency?\u0026rdquo; Not \u0026ldquo;Is there management?\u0026rdquo; but \u0026ldquo;Is the management stable and present?\u0026rdquo;\nManagement isn\u0026rsquo;t a contest of explosive power; it\u0026rsquo;s an art of endurance and rhythm. Truly great management often makes people feel like they aren\u0026rsquo;t being \u0026ldquo;managed,\u0026rdquo; yet they always feel the presence of direction, boundaries, and pace.\nAnd frequency is the core technique of this \u0026ldquo;silent management.\u0026rdquo;\n","date":"2025-12-13","description":"When I first started managing, I had no concept of 'exertion.' When the team ran into problems, I'd crack down hard; when metrics dropped, I'd work around the clock; when things were calm for a while, I'd unconsciously let go, thinking the system was 'running smoothly.'","permalink":"https://www.kingdeguo.com/en/2025/12/13/management-actions-need-a-certain-frequency/","tags":["Management Practices","Organizational Behavior","Systems Thinking","Feedback Mechanisms","Team Management"],"title":"Management Actions Need a Certain Frequency"},{"categories":["Personal Growth"],"content":"Many people view growth as a race to constantly \u0026ldquo;push forward,\u0026rdquo; overlooking the truly critical posture—turning back to gather materials.\nEvery step toward the future is actually built from the materials of the past. The issue is never whether you have a past, but whether you know how to deconstruct, reorganize, and repurpose it.\nWe often talk about retrospectives, but they are not meant to commemorate yesterday—they are meant to configure tomorrow. If a retrospective merely recounts experiences, it\u0026rsquo;s no more than a running log. True retrospection transforms experiences into a logical asset library.\nThe lessons learned from setbacks in a project are one type of asset. The pitfalls encountered in communication are another. Even the things you got right by sheer luck are assets. The essence of retrospection is converting experiences from \u0026ldquo;stories\u0026rdquo; into \u0026ldquo;structures\u0026rdquo;—stories can only be told, but structures can be invoked.\nPsychologist Alfred Adler once said that people are not driven by the past, but drawn by the future. Yet, on a deeper level, this statement reveals that the past can be reorganized. You are not recording the past; you are processing it, turning it into usable components for the future.\nIf you want to become someone with sharp judgment two years from now, then in today\u0026rsquo;s retrospectives, focus on untangling the causal chains of events. If you want greater emotional stability in the future, you must break down past emotional episodes into triggers and response mechanisms. The future is your navigation system; the past is your raw material warehouse.\nFrom a systems theory perspective, a mature system relies on an \u0026ldquo;experience feedback loop\u0026rdquo;—not to repeat the past, but to continuously reduce the margin of error in future decisions.\nPersonal growth works the same way. You are not simply accumulating experiences; you are shortening the distance between \u0026ldquo;making a mistake\u0026rdquo; and \u0026ldquo;understanding its essence.\u0026rdquo; The key is not how much you have done, but whether your experiences can be called upon at low cost and high speed in the future.\nIn reality, most people don\u0026rsquo;t lack experiences—they let them lie dormant. Take failure, for example. It should be a high-quality data source, but due to emotional resistance, it gets locked away as a \u0026ldquo;black box never to be touched again.\u0026rdquo; The more you avoid deconstructing failure, the less it can protect you in the future. The more proactively you open it up, the more it becomes your future moat. The past doesn\u0026rsquo;t need to be \u0026ldquo;let go of\u0026rdquo;; it needs to be \u0026ldquo;opened up.\u0026rdquo;\nLong-termism adds another dimension to this. It is not just about \u0026ldquo;endurance,\u0026rdquo; but a clear recognition of the compounding effect of time. When you treat the past as an asset, time becomes your value multiplier. A certain skill may have no use today, an insight may not yet be applicable, a piece of interpersonal experience may be sinking beneath the surface—but they will connect in ways you cannot foresee at some future juncture. Everything you need for the future has likely long been latent in your past.\nFlexibly leveraging your past for the future may sound abstract, but it is a pragmatic practice of self-management. Every abstraction of the past improves the quality of future decisions. Every structuring of the past increases the number of solutions you can call upon. Every comparison with the past provides a more precise template for future judgment.\nEveryone moves forward carrying a warehouse of \u0026ldquo;the past.\u0026rdquo; Some treat it as memory, growing heavier with each step. Others treat it as an asset, growing lighter. What makes you light is never what you have experienced, but whether you can keep the past actively participating in building your future.\nThe future does not start from zero—it is a wise recombination of the past. The more skilled you are at drawing on your past, the more your future feels like something you have built with your own hands, rather than something the world pushes you into.\n","date":"2025-12-12","description":"Many people view growth as a race to constantly 'push forward,' overlooking the truly critical posture—turning back to gather materials.","permalink":"https://www.kingdeguo.com/en/2025/12/12/flexibly-leveraging-your-past-for-the-future/","tags":["Retrospective Thinking","Experience Management","Self-Management","Long-Termism","Cognitive Upgrade"],"title":"Flexibly Leveraging Your Past for the Future"},{"categories":["Workplace Insights"],"content":"I\u0026rsquo;ve come to realize that true power often makes no sound.\nYou might think that those who make the final call in meetings or issue public directives are the ones truly in charge. But reality often tells a different story—the deepest power is like an undercurrent beneath the water: invisible in shape, yet constantly and silently steering the entire team\u0026rsquo;s direction.\nHave you noticed that many critical decisions aren\u0026rsquo;t actually made in formal meetings?\nThey often emerge during casual lunch conversations, a quick chat by the water cooler, or an offhand discussion in a small group chat. Who gets the information first, who is quietly excluded, who gets to join that \u0026ldquo;informal communication\u0026rdquo;—these seemingly trivial details often quietly seal the outcome of a matter.\nThe silence of power is also embedded in agendas and rules.\nA savvy power holder doesn\u0026rsquo;t need to oppose you directly. They might simply steer the conversation, emphasize a certain performance metric, or remain silent at a key moment. Team members quickly read the room and adjust their behavior accordingly. You think you\u0026rsquo;re making your own judgments, but you\u0026rsquo;ve long been guided by a silent force.\nDeeper still, power relies on that invisible network of relationships.\nThe organizational chart is just a facade; real influence often weaves its way through the shadows. A single phone call or a subtle reminder from certain individuals can effortlessly unblock processes and drive decisions. This kind of power doesn\u0026rsquo;t flaunt itself, yet it\u0026rsquo;s everywhere.\nSo why does power choose to operate quietly?\nBecause exercising power openly comes at a high cost—it invites resistance and breeds resentment. A silent approach transforms commands into consensus and dissolves conflict before it takes shape. Even when outcomes fall short, no one can point a finger and say, \u0026ldquo;This is your fault.\u0026rdquo;\nFor us ordinary professionals, recognizing this silent power isn\u0026rsquo;t about learning to scheme or manipulate—it\u0026rsquo;s about surviving with clarity.\nYou need to learn to observe: Whose opinions are always valued? Which topics are consistently shelved? Who is the hub of information, not just its endpoint?\nYou must consciously build trust, accumulate your \u0026ldquo;social capital,\u0026rdquo; and learn to hear the voice behind the silence.\nBut more important than all of this is to always maintain your core competence and your right to choose.\nThe most frightening thing about silent power isn\u0026rsquo;t that you can\u0026rsquo;t see it—it\u0026rsquo;s that when it surges toward you, you have no way out. Only when you possess irreplaceable professional skills and the confidence to say, \u0026ldquo;I don\u0026rsquo;t have to play this game,\u0026rdquo; can you steady your own rhythm in the turbulent depths of the workplace.\nTrue wisdom isn\u0026rsquo;t about becoming silent or compliant. It\u0026rsquo;s about understanding this silent game, and still finding your own rhythm and value—neither blindly conforming nor recklessly resisting, but walking your own path with clarity and composure.\n","date":"2025-12-03","description":"I've come to realize that true power often makes no sound.","permalink":"https://www.kingdeguo.com/en/2025/12/03/the-greater-the-power-the-more-silently-it-operates/","tags":["power dynamics","organizational politics","workplace survival","invisible influence","trust mechanisms"],"title":"The Greater the Power, the More Silently It Operates"},{"categories":["Workplace Insights"],"content":"In recent conversations with several founders, a shared concern emerged: when a company is small, the team is vibrant and agile in responding to the market. But as the organization grows to hundreds of people, with systems and processes gradually perfected, the company\u0026rsquo;s \u0026ldquo;vitality\u0026rdquo; quietly slips away.\nWe seem trapped in a management paradox—the more we try to eliminate chaos, the more we feel our entrepreneurial spirit eroding.\nThis keeps me pondering: as creators and stewards of an enterprise, what exactly are we building? A perfect machine that runs on precise instructions, or an organic, self-sustaining entity capable of continuous growth?\nYears of practice have taught me that the secret to corporate longevity lies not in the number of rules and regulations, but in whether we have cultivated fertile \u0026ldquo;organizational soil.\u0026rdquo;\nThis soil must be nurtured by the founder personally. It is invisible and intangible, yet it determines whether the organization can preserve its founding spirit.\nWhen the soil is rich enough, even as the company scales, those precious entrepreneurial traits—proactive ownership, rapid experimentation, sustained innovation—will continue to grow naturally in every team member.\nSo, how do we cultivate this invaluable soil?\nPsychological safety is the air in the soil.\nFounders feel both deep affection and anxiety for their companies, but the key is to channel that anxiety into tolerance for failure. In terms of systems and culture, do we allow the team to experiment and make mistakes in pursuit of ambitious goals?\nGoogle\u0026rsquo;s early \u0026ldquo;20% time\u0026rdquo; policy is a vivid example: employees could spend part of their work hours on exploratory projects they were passionate about. It was in this fertile soil of freedom that innovative products like Gmail and Google Maps were born. Psychological safety empowers teams to dare to try, dare to fail, and turns failure into nourishment for growth.\nA sense of mission is the sunlight in the soil.\nAs companies grow, employees can easily get lost in trivial tasks. The founder\u0026rsquo;s responsibility is to act as the organization\u0026rsquo;s \u0026ldquo;North Star,\u0026rdquo; ensuring everyone understands the direction and meaning of their efforts. This light illuminates the path for autonomous action and helps the team maintain alignment and resilience in complex environments.\nResource support is the water in the soil.\nBeyond funding and tools, the most critical resource is time. Are we willing, like Google or OpenAI, to institutionalize time for exploration and learning? Are we bold enough to invest in projects that may show no short-term returns but could determine the company\u0026rsquo;s future? Such investments are the most direct embodiment of a founder\u0026rsquo;s long-term philosophy and the source of an organization\u0026rsquo;s capacity for self-renewal.\nTo achieve this, founders must undergo a role transformation: from a hands-on \u0026ldquo;builder\u0026rdquo; to an ecosystem-nurturing \u0026ldquo;gardener.\u0026rdquo; A builder focuses on whether every detail is executed correctly, while a gardener focuses on whether the environment is conducive to growth, then patiently waits for life to find its own direction.\nIn practice, cultivating the soil is a systematic and ongoing effort.\nFirst comes breaking the ice: the founder must take the lead in \u0026ldquo;showing vulnerability,\u0026rdquo; sharing lessons from failures, and telling the team that sincerity matters more than perfection.\nNext is laying the foundation: using innovation funds, reforming evaluation mechanisms, and other means to embed values and a tolerance for failure into practice.\nFinally, there is deep cultivation: like a gardener inspecting the soil, sensing the organizational climate, and preventing processes and bureaucratic rigidity from stifling innovation.\nLarge enterprises especially need to be cautious: the more processes there are, the more they should serve as enablers of efficiency, yet they can easily become shackles that suffocate innovation. Striking a balance between system discipline and organizational vitality is a long-term challenge every manager must face.\nThe rewards of cultivating the soil won\u0026rsquo;t show up in next quarter\u0026rsquo;s financial report, but it endows the company with the most valuable capability—self-renewal. The second curve that grows from within allows the organization to continuously evolve in a rapidly changing market.\nDrucker once said that the essence of management is to inspire and release each person\u0026rsquo;s goodwill and potential. For founders, cultivating the soil is a calling that transcends management. It is not only the foundation of corporate longevity but also the most precious legacy we can leave to the organization.\nWhen we bend down and patiently nurture this soil for growth, we may discover that the secret to corporate longevity has never been found in distant strategy documents, but in our daily commitment to trust, to giving space, and to patiently waiting for growth to take root.\n","date":"2025-12-02","description":"In recent conversations with several founders, a shared concern emerged: when a company is small, the team is vibrant and agile in responding to the market. But as the organization grows to hundreds of people, with systems and processes gradually perfected, the company's \"vitality\" quietly slips away.","permalink":"https://www.kingdeguo.com/en/2025/12/02/thoughts-on-corporate-longevity-cultivating-the-soil/","tags":["Organizational Management","Corporate Culture","Leadership","Entrepreneurial Spirit","Psychological Safety","Long-termism"],"title":"Thoughts on Corporate Longevity: Cultivating the Soil"},{"categories":["Workplace Insights"],"content":"In management, I\u0026rsquo;ve come to realize that simply chasing transactional results often leads teams into short-term thinking.\nWhat truly builds organizational capability and personal growth is treating every task as an opportunity for development—I call this \u0026ldquo;Forging People Through Tasks.\u0026rdquo;\nThis is not an empty slogan but a practical management philosophy: honing people\u0026rsquo;s abilities through concrete tasks, allowing the organization to grow naturally through daily work.\nWang Yangming once said, \u0026ldquo;People must be tempered through tasks to stand firm.\u0026rdquo; This means that knowledge, will, and character must be tested in real-world tasks to truly develop.\nAlibaba\u0026rsquo;s concept of \u0026ldquo;pursuing the real through the apparent\u0026rdquo; extends this philosophy to organizational management: projects and business goals are the tangible \u0026ldquo;apparent,\u0026rdquo; while the team collaboration, problem-solving skills, and personal growth forged in the process are the intangible \u0026ldquo;real.\u0026rdquo; The manager\u0026rsquo;s role is to design these \u0026ldquo;apparent tasks\u0026rdquo; as stages for cultivation.\nIn practice, I\u0026rsquo;ve found that the essence of \u0026ldquo;Forging People Through Tasks\u0026rdquo; lies in three dimensions: People, Tasks, and Environment.\nPeople are the participants—their abilities, potential, and willingness determine the room for growth.\nTasks are the specific assignments or projects that need to be sufficiently challenging, enabling people to learn skills, experience, and methods through solving them.\nEnvironment is the context—the psychological atmosphere, organizational culture, and management approach. An open, empowering environment with moderate pressure can catalyze task completion while amplifying personal growth. Without any one of these elements, this philosophy struggles to take root.\nAlibaba\u0026rsquo;s Singles\u0026rsquo; Day is a classic example of \u0026ldquo;Forging People Through Tasks.\u0026rdquo; Each year, the shopping festival is not just a business peak but a real-world training ground: teams across technology, operations, and customer service complete tasks under extreme pressure while rapidly sharpening their problem-solving and collaboration skills.\nSimilarly, when Alibaba pushes into new businesses, it places promising individuals in key roles—such as Tong Wenhong leading the creation of Cainiao Network. This is not simply assigning a task but honing leadership through real challenges.\nIn my own management practice, I prefer to operationalize \u0026ldquo;Forging People Through Tasks\u0026rdquo; into concrete actions: managers must know how to \u0026ldquo;find the right people, develop them, and bring them to maturity.\u0026rdquo; Newcomers can handle \u0026ldquo;familiar tasks\u0026rdquo; to build foundational skills and confidence in stable operations; core employees can take on \u0026ldquo;new challenges\u0026rdquo; to unlock their potential.\nThe key is to allow a reasonable margin for trial and error—neither micromanaging nor taking over—so that employees experience problems and solve them on their own, enabling genuine growth.\nTolerance for mistakes is not about letting things slide; it\u0026rsquo;s about planned development with necessary support.\nThis applies at the individual level as well. Work is not just about completing tasks or exchanging time for money; every challenge is an opportunity to train your abilities.\nIn my daily management, I often remind my team: actively take on tasks that seem complex or high-pressure—this is the best way to broaden your perspective and strengthen your character.\nOver time, professional skills, judgment, and collaboration abilities accumulate through continuous practice.\nOf course, practicing \u0026ldquo;Forging People Through Tasks\u0026rdquo; has its pitfalls. First, avoid turning it into mere exploitation—challenges must be paired with support. Second, account for individual differences; not everyone is suited for the same task.\nFinally, always emphasize task design and reflection: without clear goals, ongoing coaching, and post-task review, even the most challenging assignment remains just ordinary work, not a vehicle for growth.\nIn summary, the core of \u0026ldquo;Forging People Through Tasks\u0026rdquo; lies in shifting the management perspective: instead of focusing solely on task outcomes, focus on cultivating people\u0026rsquo;s abilities and team collaboration through those tasks.\nA manager\u0026rsquo;s mission is to design tasks, observe growth, and provide support—making every task a stage for forging people.\nFor individuals, every challenge is an opportunity for self-improvement. As long as you keep experimenting, reflecting, and refining in practice, \u0026ldquo;Forging People Through Tasks\u0026rdquo; becomes the intrinsic driving force for both organizational and personal evolution.\n","date":"2025-12-01","description":"In management, I've come to realize that simply chasing transactional results often leads teams into short-term thinking. What truly builds organizational capability and personal growth is treating every task as an opportunity for development—I call this 'Forging People Through Tasks.'","permalink":"https://www.kingdeguo.com/en/2025/12/01/forging-people-through-tasks/","tags":["Organizational Management","Talent Development","Management Philosophy","Leadership","Team Building"],"title":"Forging People Through Tasks"},{"categories":["Workplace Insights"],"content":"Xiaomi recently held an internal celebration for the Xiaomi 17 series and HyperOS 3.\nIn recent years, Xiaomi has been pushing into the high-end market while continuously emphasizing improvements in system stability and smoothness. As outsiders focus on the system\u0026rsquo;s shortcomings and question the timing of the celebration, doubts naturally arise: Was it premature to hold a celebration when the system still has room for improvement?\nToday, I\u0026rsquo;d like to discuss the significance of such celebrations from a business management perspective and why Xiaomi chose to hold one at this particular moment.\nFirst, we should recognize that a celebration is not a declaration that \u0026ldquo;the task is complete.\u0026rdquo; Rather, it is an organizational behavior aimed at sustaining team momentum during high-pressure cycles—a dual psychological and structural foundation for long-term strategy.\nFor Xiaomi, the primary significance of this celebration is not to claim that \u0026ldquo;HyperOS is perfect,\u0026rdquo; but to send a clear internal signal: We are on the right path, and we have made substantial progress.\nThis kind of milestone recognition is especially important in long-cycle R\u0026amp;D. After years of striving for the high-end market, every new product launch is met with online mockery and even repeated references to the so-called \u0026ldquo;Xiaomi Bible.\u0026rdquo; This negativity affects the entire team, from R\u0026amp;D to sales. Technical issues can be gradually fixed, but once morale is lost, rebuilding it comes at a steep cost.\nFrom an organizational behavior perspective, a celebration is far more than a meal or an awards ceremony—it is a vital organizational ritual. The core function of a ritual is to construct a shared narrative, transforming abstract strategy into a tangible collective experience. It helps every participant realize that they are not working in isolation—fixing code or debugging hardware—but are collectively part of a transformation that will shape the company\u0026rsquo;s future.\nSuch rituals also serve to align goals. Those present can clearly sense that HyperOS 3 is not just another system version, but a core weapon in Xiaomi\u0026rsquo;s battle against Apple and its ecosystem expansion. True strategy execution rarely depends on repeated briefings; it relies on the organization being naturally immersed in an atmosphere where people genuinely \u0026ldquo;believe.\u0026rdquo;\nMorale itself is a convertible form of combat power. In the high-end market battle against giants like Apple, Xiaomi faces not only a technology gap but also the psychological resilience required for long-term investment. High-end campaigns are lengthy, resource-intensive, and pit the company against formidable opponents. The team\u0026rsquo;s psychological capital—confidence, hope, resilience, and optimism—often proves more decisive than technical specs at critical moments. What the celebration provides is precisely this hard-to-quantify yet essential psychological resource.\nAt the same time, the celebration sends a clear strategic signal to the outside world: Xiaomi will not waver due to short-term controversy, nor will it rest on interim achievements. The integration of software and hardware is not just a slogan—it is the main track where sustained investment will continue. In an industry full of uncertainty today, this kind of steadiness is itself a rare competitive advantage.\nTo further distill the meaning of this celebration: it is not celebrating that \u0026ldquo;the system is perfect,\u0026rdquo; but rather that \u0026ldquo;the organization has developed the capability to sustain tough battles.\u0026rdquo; This capability is reflected in the integration of the underlying architecture, the initial emergence of a closed-loop software-hardware synergy, and market feedback that supports further investment. It celebrates a sustainable state of forward momentum—the initial formation of a systematic capability.\nThus, from a management perspective, the timing of this celebration is well-chosen. It helps the team maintain composure amid public criticism, allows the organization to catch its breath and consolidate energy midway through a long campaign, and demonstrates to the outside world Xiaomi\u0026rsquo;s strategic rhythm.\nTechnical perfection relies on iteration, while organizational vitality relies on management.\nIn this long-distance race toward the future, the celebration is not the finish line—it is a necessary pit stop for energy replenishment. The real competition has only just begun.\n","date":"2025-11-30","description":"Xiaomi recently held an internal celebration for the Xiaomi 17 series and HyperOS 3. With room for system improvement still evident, was the timing premature? Let's explore the significance of such celebrations from a business management perspective.","permalink":"https://www.kingdeguo.com/en/2025/11/30/why-did-xiaomi-choose-to-celebrate-when-the-system-still-faces-questions/","tags":["Organizational Management","Team Morale","Strategy Execution","Corporate Culture","Xiaomi Case Study"],"title":"Why Did Xiaomi Choose to Celebrate When the System Still Faces Questions?"},{"categories":["Workplace Insights"],"content":"Looking back on this series, we have journeyed from the rigid organizations of the industrial age, through the individual anxieties of the information age, to the drift of purpose under the lens of capital—all in search of the ultimate meaning of \u0026ldquo;efficiency.\u0026rdquo;\nToday, we stand at a historic inflection point defined by large models and generative AI. This is not merely a technological upgrade, but a paradigm shift touching the very foundations of civilization, compelling us to re-examine the nature of value, organization, and even humanity itself.\nPreviously, our discussions of efficiency and goals were based on a core assumption: human intelligence is a scarce and critical resource. Therefore, the primary task of an organization was to optimally allocate this scarcity. However, the emergence of large models is profoundly challenging this assumption.\nIn basic cognitive tasks, large models are creating a potential surplus of \u0026ldquo;intelligence.\u0026rdquo; This is not just an extension of physical labor or computing power, but a \u0026ldquo;universal interface for semantic understanding and generation\u0026rdquo;—like an amplifier for consciousness. It drastically reduces the cost of generating high-quality content, writing code, and performing strategic analysis, thereby shifting the nature of scarcity in value creation. The true scarcity is no longer execution, but \u0026ldquo;the ability to ask the right questions, exercise critical judgment, and imbue work with deeper meaning.\u0026rdquo;\nThis means that if an organization\u0026rsquo;s goal remains merely \u0026ldquo;efficiently completing assigned tasks,\u0026rdquo; it will lose its value foundation. It must pivot towards defining the fundamentally new, worthwhile problems that powerful AI should be deployed to solve.\nThis revolution in productivity will also drive a profound evolution in organizational forms. Coase\u0026rsquo;s theory of transaction costs posits that firms exist to reduce market transaction costs. Large models and collaborative technologies empower individuals, significantly lowering the costs of finding partners and managing projects, thereby undermining the traditional role of the company as the core economic unit.\nThe future landscape may see the rise of the \u0026ldquo;one-person economy\u0026rdquo;: highly specialized individuals leverage AI to handle the vast majority of execution work, focusing their energy on innovation and strategic connections. For complex tasks, these individuals could temporarily assemble into decentralized autonomous organizations (DAOs) via smart contracts. The core function of an organization shifts from \u0026ldquo;management and control\u0026rdquo; to \u0026ldquo;attraction and coordination,\u0026rdquo; and its goal transforms from a command into a foundational protocol for building consensus.\nAlongside changes in organizational form, the criteria by which users judge value will also evolve. In an era of extreme abundance, the measure of value leaps from \u0026ldquo;does the function meet the need?\u0026rdquo; to \u0026ldquo;does the experience resonate and provide meaning?\u0026rdquo; Large models enable not only hyper-personalization but also make \u0026ldquo;co-creative\u0026rdquo; relationships possible. Experiences in education, healthcare, and entertainment could be dynamically generated based on individual feedback, making the user a co-designer of their own experience.\nConsequently, a company\u0026rsquo;s goal must shift from \u0026ldquo;capturing user mindshare\u0026rdquo; to \u0026ldquo;co-evolving with the user.\u0026rdquo; Value is no longer a static product but an emergent outcome of continuous, deep interaction. An organization\u0026rsquo;s goal must become a dynamic compass, not a fixed destination.\nIn this context, the role of the leader must undergo a fundamental transformation. Leaders need to move from being \u0026ldquo;commanders\u0026rdquo; to \u0026ldquo;system architects\u0026rdquo; and \u0026ldquo;guardians of meaning.\u0026rdquo; Their primary task is to identify and protect non-optimizable human core values—such as privacy, fairness, compassion, and beauty—in the face of the seductive allure of efficiency, and to set these as the ethical boundaries for AI action.\nSimultaneously, they must build the fields that foster innovation—not rigid processes, but the nurturing of rules, incentive mechanisms, and a cultural soil that allows for non-linear exploration and intuition-driven trial and error.\nUltimately, large model technology pushes efficiency to unprecedented heights, placing us at a crossroads of civilization. One path is \u0026ldquo;accelerated cycling,\u0026rdquo; descending into spiritual involution amidst material abundance driven by efficiency. The other path is a \u0026ldquo;value leap,\u0026rdquo; leveraging the productivity explosion to direct collective intelligence toward the grand challenges of human civilization: conquering disease, exploring the cosmos, understanding consciousness, creating art, and dissolving inequality.\nLarge models themselves hold no predetermined answers; they act like a mirror, reflecting the collective will of our civilization. They pose an ultimate question to society: When technology is no longer the primary constraint, what is the goal we collectively pursue? This technological revolution ultimately tests not just corporate strategy, but humanity\u0026rsquo;s capacity for imagination and choice regarding its own future.\nEfficiency is no longer just a means; it becomes a magnifying glass that tests the depth of our goals and the direction of our values. Only by clarifying the \u0026ldquo;why\u0026rdquo; can the \u0026ldquo;how to be efficient\u0026rdquo; truly serve humanity\u0026rsquo;s long-term vision.\n","date":"2025-11-29","description":"Looking back on this series, we have journeyed from the rigid organizations of the industrial age, through the individual anxieties of the information age, to the drift of purpose under the lens of capital—all in search of the ultimate meaning of 'efficiency.'","permalink":"https://www.kingdeguo.com/en/2025/11/29/in-pursuit-of-efficiency-but-where-is-the-goal-part-7-can-large-models-help-us-navigate-the-cycle/","tags":["Goal-Oriented","User Value","Organizational Management","Strategic Thinking","Large Models","AI"],"title":"In Pursuit of Efficiency, But Where Is the Goal? (Part 7): Can Large Models Help Us Navigate the Cycle"},{"categories":["Workplace Insights"],"content":"In the previous five articles, we explored the organizational efficiency dilemma, employee anxiety, strategic choices of leaders, and the dual lens of capital and users, layer by layer analyzing the profound impact of \u0026ldquo;goal ambiguity\u0026rdquo; on organizations.\nYet no matter how profound the theory, it must ultimately be tested on the real battlefield of business. History is the most unforgiving teacher, and the rise and fall of enterprises serves as a thick textbook of case studies, telling us one thing: whether an organization can sustain high efficiency hinges on its ability to define, adhere to, and continually refresh its goals.\nKodak, the imaging giant, is one of the most heartbreaking chapters in that textbook. Its tragedy was not due to technological backwardness, but to goal rigidity. As early as 1975, Kodak invented the digital camera, yet it steadfastly locked its core corporate goal onto \u0026ldquo;maximizing film sales.\u0026rdquo; Powerful production efficiency, a well-honed supply chain, and meticulous management processes—all these highly efficient systems ultimately became a heavy burden. Digital technology was seen as a threat, and resources were efficiently funneled into defending the old track. When the industry wave arrived, Kodak\u0026rsquo;s efficiency only deepened its inertia, and it was ultimately consumed by the future it had itself invented. This case serves as a warning: when efficient execution is aimed at the wrong goal, even the most powerful engine can only accelerate the journey into the abyss.\nIn stark contrast is the rebirth of Microsoft. When Satya Nadella took over as CEO in 2014, Microsoft was plagued by internal silos and a lack of innovation. After clearly recognizing that \u0026ldquo;internal efficiency cannot create the future,\u0026rdquo; he refreshed the company\u0026rsquo;s core mission—\u0026ldquo;to empower every person and every organization on the planet to achieve more.\u0026rdquo; The clarity and depth of this goal were like resetting the organization\u0026rsquo;s DNA, redirecting efficiency toward the right direction: open collaboration, a cloud computing strategy, and a focus on the developer ecosystem. The results speak for themselves: Microsoft not only regained its growth momentum but also achieved a sixfold increase in market capitalization. Refreshing the goal transformed efficiency from a source of inertia into a driving force.\nThe lens of capital, at times, can amplify the deviation from goals. The story of WeWork is a classic example. The founder positioned the company as a tech platform to command a capital premium, pursuing aggressive expansion and scale growth with impressive short-term efficiency, while ignoring the core business logic: whether rental income could cover costs. When the spotlight of capital shone down, its illusory value evaporated instantly, with its valuation plummeting from a peak of $47 billion. This case illustrates that when an organization\u0026rsquo;s goal is to appease external capital rather than create real value, even the highest level of execution is merely building castles in the air.\nWhat is truly worthy of respect is an organization like Amazon, which has always used user value as its North Star. Since 1997, Jeff Bezos has adhered to a long-term goal: customer obsession. Guided by this principle, Amazon has been willing to sacrifice short-term profits, invest heavily in building its logistics network, develop AWS, and implement seemingly inefficient initiatives like \u0026ldquo;1-Click ordering.\u0026rdquo; These investments were not blind; they were measured against the yardstick of user value, ultimately creating a self-reinforcing \u0026ldquo;flywheel effect\u0026rdquo; that turned efficiency into long-term, sustainable competitiveness. User value became the sole guide through the fog.\nLooking back at these business cases, the conclusion is strikingly clear: the goal is the organization\u0026rsquo;s most critical strategic gravitational force. Efficient management, technological capability, and capital operations are all powerful engines, but without a precise and steadfast North Star, these engines can only cause the organization to lose its way quickly or accelerate toward a collision.\nOnly when the goal is clearly pointed toward real value does efficiency have meaning, and only then does the organization have a future. The histories of Kodak, Microsoft, WeWork, and Amazon serve both as a warning and a guide—reminding every manager: the value of efficiency is ultimately determined by the direction of the goal, and the correctness of that direction decides the ultimate destination of all efforts.\n","date":"2025-11-28","description":"In the previous five articles, we explored the organizational efficiency dilemma, employee anxiety, strategic choices of leaders, and the dual lens of capital and users, layer by layer analyzing the profound impact of \"goal ambiguity\" on organizations.","permalink":"https://www.kingdeguo.com/en/2025/11/28/in-pursuit-of-efficiency-but-where-is-the-goal-part-6-case-analysis/","tags":["Goal Orientation","User Value","Organizational Management","Strategic Thinking","Case Analysis"],"title":"In Pursuit of Efficiency, But Where Is the Goal? (Part 6) Case Analysis"},{"categories":["Workplace Insights"],"content":"In the previous four parts, we dissected the multifaceted impacts of ambiguous goals—from organizational efficiency traps and employee anxiety, to strategic choices at the helm, and external pressures through the lens of capital.\nBut no matter how meticulously internal management is refined, or how much capital favors short-term returns, the ultimate arbiter has never been numbers, processes, or power. It is the user—the person who ultimately consumes your product or service. In their presence, efficiency must face its most rigorous and direct test: the judgment of value.\nThe most brutal aspect of this judgment is its extreme subjectivity. You can polish a new feature, a marketing campaign, or a service system to perfection. Internal metrics may all be green, and financial reports may shine. But when it lands in the hands of the user, the only standard is a single question: \u0026ldquo;Is this useful to me?\u0026rdquo; Users don\u0026rsquo;t care about your KPIs, your project timelines, or your profit margins. They only care whether their own problems have been truly solved. Any \u0026ldquo;efficiency\u0026rdquo; that deviates from the user\u0026rsquo;s perception of value, no matter how flawless its internal logic, can be mercilessly judged as \u0026ldquo;wasted effort.\u0026rdquo; This reminds us of a simple yet profound truth: the coordinate origin of efficiency must be anchored on the map of user needs, not on internal process charts or financial reports.\nMore alarmingly, organizations often have a tendency toward \u0026ldquo;value narcissism.\u0026rdquo; Driven by the inertia of long-term operations, they tend to optimize what they are good at and what is easy to measure, gradually drifting away from the value users truly need. A technical team might pursue elegant code, a marketing team might indulge in beautiful reports and data analysis, and internal processes might run smoothly—but the user may simply need a stable, usable, and intuitive solution. When an organization becomes immersed in a performance of \u0026ldquo;self-efficiency,\u0026rdquo; it moves further from the user\u0026rsquo;s perception of value. The root cause of innovation failure is often not a lack of capability, but a misdirection from the very start.\nMoreover, this judgment is not static. User needs change, and market conditions evolve. The value recognized today may be discarded tomorrow. Without an external perspective and the ability to track these dynamics, an organization, no matter how efficient its execution, may veer off course. True efficiency lies not only in executing plans quickly but also in keenly sensing shifts in user value, flexibly adjusting strategies, and even overturning the original path when necessary.\nSo, how can an organization stand firm in this judgment? The core lies in establishing an actionable \u0026ldquo;user value mechanism.\u0026rdquo; Let the user\u0026rsquo;s voice penetrate the layers of organizational filtering and reach decision-makers directly. Tie performance evaluations not only to internal metrics but also to long-term user satisfaction and actual value delivered. Allow—even encourage—experimentation based on user feedback, reallocating resources away from wasted efforts and toward directions that genuinely create value.\nThe judgment of value, though silent, is omnipresent. It is the fairest and most direct law of the business world, and the ultimate coordinate for all organizational endeavors.\nIt reminds us: efficiency is not the goal, but the means. Internal optimization, technological iteration, and capital operations are meaningful only when they truly create user value. By placing user value at the center of your belief system, the organization\u0026rsquo;s goals become clear, employees\u0026rsquo; efforts gain direction, leaders\u0026rsquo; decisions carry conviction, and capital considerations can be effectively balanced.\nUltimately, true efficiency stems from a sustained focus on the act of value creation itself.\n","date":"2025-11-27","description":"In the previous four parts, we dissected the multifaceted impacts of ambiguous goals—from organizational efficiency traps and employee anxiety, to strategic choices at the helm, and external pressures through the lens of capital.","permalink":"https://www.kingdeguo.com/en/2025/11/27/in-pursuit-of-efficiency-but-where-is-the-goal-part-5-the-judgment-of-value/","tags":["Goal Orientation","User Value","Organizational Management","Strategic Thinking"],"title":"In Pursuit of Efficiency, But Where Is the Goal? (Part 5): The Judgment of Value"},{"categories":["Personal Growth"],"content":"In the previous three articles, we examined the impact of vague goals on organizations, from the dilemma of organizational efficiency, to employee anxiety, to the choices of leaders.\nBut no matter how hard individuals try or how clear-sighted leaders are, organizations do not operate in a vacuum. Their survival and decision-making often confront an invisible yet powerful external force—capital.\nCapital acts like a lens through which an organization\u0026rsquo;s goals, sense of time, and even its measure of value can be refocused, or even distorted.\nThe most immediate effect of this lens is the compression of time.\nCapital inherently has its own cyclical preferences, and the workings of modern financial markets have shortened these preferences to an extreme: quarterly, semi-annually, annually.\nCapital markets favor predictable, quantifiable, and steadily growing performance reports. Under this pressure, strategic goals that require long-term investment and have uncertain returns easily become blurred on the other side of the lens.\nIn their place come short-term metrics, financial report figures, and KPI tables—because these can be presented immediately and are easily recognized by the market.\nThus, an organization\u0026rsquo;s goals are subtly \u0026ldquo;capitalized,\u0026rdquo; and short-term returns become the standard by which all actions are measured.\nAnother effect of the capital lens is the simplification of metrics.\nTo allow analysts and investors to make quick judgments, an organization\u0026rsquo;s health must be condensed into a few core numbers: revenue growth, profit margins, user counts. This simplified language also becomes the common currency internally. The danger lies in the fact that when managers and employees continuously optimize these numbers, it\u0026rsquo;s easy for a \u0026ldquo;metric standard\u0026rdquo; to replace a \u0026ldquo;mission standard.\u0026rdquo; Core elements that are difficult to quantify—innovation, employee growth, long-term customer value, social contribution—are often marginalized, as if automatically blurred by the capital lens.\nA third, more profound choice emerges: does the organization exist for its shareholders, or to create value for a broader set of stakeholders?\nThe traditional \u0026ldquo;shareholder primacy\u0026rdquo; theory is magnified infinitely under the capital lens. It clearly illuminates short-term returns but can obscure employee well-being, customer value, and social impact. Those once-inspiring missions can be unconsciously narrowed down to \u0026ldquo;maximizing shareholder value.\u0026rdquo; This goal drift is not necessarily malicious, but it is almost inevitable under the daily permeation of capital logic.\nOf course, it\u0026rsquo;s not fair to blame everything on capital. The real challenge is how leaders coexist with this lens. Do they fully conform to its focus, adjusting every action to please the market? Or do they maintain strategic resolve under short-term pressure, investing in those seemingly vague but future-defining long-term values? This requires leaders to not only understand the logic of capital but also to communicate their vision in a language capital can understand, buying time and space to preserve the organization\u0026rsquo;s true North Star.\nFortunately, the world of capital is not monolithic. The rise of long-termism, ESG investing, and impact capital offers an alternative lens. These frameworks incorporate long-term values like environment, society, and governance into their view, providing support for visionary leaders. By choosing the right capital partners, organizations can find a new balance between external pressure and internal mission.\nCapital is both a constraint and a stage. It provides the fuel to achieve grand goals, but its short-sighted filter also tests an organization\u0026rsquo;s original intent.\nWhat makes an outstanding organization truly remarkable is its ability to respect the logic of capital without letting it distort its mission. It skillfully uses capital, rather than being defined by it. When both leaders and employees can clearly gaze upon a North Star that transcends short-term returns, efficiency truly serves the mission, rather than being dictated by capital. This lens ultimately reveals the deepest level of an organization\u0026rsquo;s resolve and vision.\n","date":"2025-11-26","description":"The previous three articles examined the impact of vague goals on organizations, from the dilemma of organizational efficiency, to employee anxiety, to the choices of leaders. But no matter how hard individuals try or how clear-sighted leaders are, organizations do not operate in a vacuum. They must contend with an invisible yet powerful external force—capital.","permalink":"https://www.kingdeguo.com/en/2025/11/26/in-pursuit-of-efficiency-but-where-is-the-goal-part-4-the-lens-of-capital/","tags":["Goal Orientation","Capital Logic","Organizational Management","Strategic Thinking"],"title":"In Pursuit of Efficiency, but Where Is the Goal? (Part 4): The Lens of Capital"},{"categories":["Personal Growth"],"content":"In the first two articles, we discussed how vague organizational goals trap teams in an efficiency paradox, and explored the anxiety and helplessness employees feel in such environments.\nUltimately, all these issues point to one core: the leader—the person steering the team—must make a choice in the fundamental responsibility of \u0026ldquo;goal-setting.\u0026rdquo;\nMany leaders understand the importance of goals, but they easily fall into a common trap: treating numerical targets as their true North Star.\nQuarterly and annual metrics like revenue, growth rate, and market share are certainly important, but they are merely coordinates of outcomes, not the direction of the voyage.\nThe real choice is whether they can elevate these cold, hard numbers into a core mission that the team willingly follows. This mission must answer the most fundamental questions: Why do we exist? For whom do we create value? Not \u0026ldquo;grow 20%,\u0026rdquo; but \u0026ldquo;solve the long-term pain points of millions of users through our product.\u0026rdquo; This is the first choice a leader must confront.\nThe second choice is balancing consistency with flexibility.\nIn traditional thinking, once a goal is set, it must be executed uniformly from top to bottom. But the real world changes rapidly, and rigid consistency often leads to misalignment and ambiguity. True leaders must have the confidence to allow trial and error and adjustments at the tactical level—the core direction is clear, but the path can be flexible. It\u0026rsquo;s like sailing: the destination is fixed, but the crew can choose the best route based on the wind and waves, rather than requiring every oar stroke to be synchronized.\nThe third choice is even more about the leader\u0026rsquo;s own role: Are you a \u0026ldquo;commander\u0026rdquo; or a \u0026ldquo;system architect\u0026rdquo;?\nWhen goals are vague, many leaders instinctively tighten control, increase reporting, and refine processes. This may seem prudent in the short term, but it ultimately exacerbates employee anxiety and performative busyness. A true leader should free their energy from micromanagement and focus on building a system: one that transmits goals clearly, empowers employees to create autonomously, and ensures transparent information, effective incentives, and a safe culture.\nFinally, and most difficult of all, is the trade-off between short-term certainty and long-term possibility.\nAn easily achievable goal brings controllable performance and a sense of order; a grand and inspiring goal entails chaos, trial and error, and even temporary failure. Leaders need the patience and courage to trade today\u0026rsquo;s \u0026ldquo;controlled chaos\u0026rdquo; for tomorrow\u0026rsquo;s breakthrough value. As Jeff Bezos said: \u0026ldquo;If you look three years out, you see competitors; if you look seven years out, you see open space, because very few people are willing to think that far ahead.\u0026rdquo;\nThe key to breaking free from the trap of efficiency lost lies in the hands of the leader. This is not just a strategic challenge, but a test of character: shifting from issuing commands to explaining meaning, from pursuing absolute control to building resilient systems, from pleasing short-term reports to investing in long-term value.\nEfficiency is not merely about speed. The leader\u0026rsquo;s responsibility is to ensure that the entire fleet is no longer rowing blindly, but heading toward a true destination.\n","date":"2025-11-25","description":"The previous two articles discussed how vague organizational goals trap teams in an efficiency paradox, and explored the anxiety and helplessness employees feel in such environments. Ultimately, all these issues point to one core: the leader must make a choice in the fundamental responsibility of goal-setting.","permalink":"https://www.kingdeguo.com/en/2025/11/25/in-pursuit-of-efficiency-but-where-is-the-goal-part-3-the-leaders-choice/","tags":["Goal Orientation","Leadership","Organizational Management","Strategic Thinking"],"title":"In Pursuit of Efficiency, But Where Is the Goal? (Part 3): The Leader's Choice"},{"categories":["Personal Growth"],"content":"In the previous article, we discussed how unclear organizational goals can trap teams in an \u0026ldquo;efficiency paradox\u0026rdquo;—everyone is busy bustling around, yet no one knows where they\u0026rsquo;re headed.\nToday, I want to shift the focus to the individual level and explore what employees truly experience when goals are ambiguous. You\u0026rsquo;ll find that this anxiety is not simply pressure; it\u0026rsquo;s a persistent drain and unease that comes from sprinting at full speed through a fog.\nThe most immediate feeling is a strong sense of loss of control. When you work hard to complete tasks at hand but can\u0026rsquo;t see how they connect to the ultimate value, every acceleration feels like running in place.\nPsychologically, this state can easily lead to \u0026ldquo;learned helplessness\u0026rdquo;—no matter how hard you try, the outcome seems unaffected.\nA more subtle experience is the erosion of your inner judgment. You start to question: Does what I\u0026rsquo;m doing really matter? Am I truly helping the organization move forward, or am I just creating a facade of busyness?\nVague goals also quietly drain our attention and cognitive resources. You may find yourself spending more time pondering \u0026ldquo;What does my boss actually want?\u0026rdquo; or \u0026ldquo;Is this meaningful?\u0026rdquo; than actually doing the work. It\u0026rsquo;s like a high-intensity mental weight-training session—energy is depleted, but no progress is made. Even after clocking out, your mind remains trapped in a state of turmoil, feeling exhausted yet achieving nothing. This invisible \u0026ldquo;cognitive tax\u0026rdquo; is more draining than overtime itself.\nWhat\u0026rsquo;s even more mentally exhausting is a misalignment of values. When goals conflict with your personal beliefs, anxiety escalates to another level. You might value long-term impact but are forced to chase short-term metrics; you champion collaboration but find yourself in a hyper-competitive culture. This dissonance doesn\u0026rsquo;t just sap efficiency—it makes you question your professional identity: Am I becoming someone I don\u0026rsquo;t want to be? This kind of anxiety is incomparable to ordinary stress.\nSo, what can employees do in an environment with vague goals?\nA good starting point is to proactively seek a \u0026ldquo;sense of direction.\u0026rdquo; First, learn to be your own \u0026ldquo;goal translator.\u0026rdquo; Instead of mechanically executing tasks, ask \u0026ldquo;why\u0026rdquo; when you receive an assignment. Understand the intent and value behind it, so you can channel your energy into what truly matters.\nNext, establish a \u0026ldquo;personal goal ruler\u0026rdquo; for yourself. Use it to evaluate each task\u0026rsquo;s contribution to the organization and its value to your own growth. For tasks that score low, don\u0026rsquo;t strive for perfection—just do enough to get by, and save your energy for more important work.\nOne more thing is crucial: learn to manage your attention, rather than passively receiving tasks. When a new task comes in, don\u0026rsquo;t accept it unconditionally. Instead, bring a proposed plan to negotiate priorities, directing your limited resources toward truly valuable directions.\nSlowing down is not procrastination; it\u0026rsquo;s about giving efficiency real meaning. Efficiency without direction is just noise that accelerates. When the direction is clear, even a slower pace is more stable and powerful than blind sprinting.\nUltimately, clear goals are not just a tool for efficiency—they are a psychological asset. They provide direction in a complex workplace, reduce internal friction, and safeguard the sense of meaning in our work.\n","date":"2025-11-24","description":"In an environment with vague goals, what inner struggles do employees experience? This anxiety is not merely stress, but a sustained drain and unease from running at high intensity in a state of confusion.","permalink":"https://www.kingdeguo.com/en/2025/11/24/in-pursuit-of-efficiency-but-where-is-the-goal-part-2-employee-anxiety/","tags":["Goal-Oriented","Employee Anxiety","Organizational Management","Psychological Pressure"],"title":"In Pursuit of Efficiency, But Where Is the Goal? (Part 2): Employee Anxiety"},{"categories":["Personal Growth"],"content":"In an era that moves faster by the day, \u0026ldquo;efficiency\u0026rdquo; has become the ultimate creed of organizations. Processes must be smoother, tasks faster, decisions shorter—even thinking itself is expected to be compressed. People have grown accustomed to equating speed with competitiveness, busyness with value, and dense execution with team maturity.\nBut spend enough time in any organization, and you\u0026rsquo;ll confront a glaring truth: efficiency without direction is a high-intensity form of getting lost.\nThe team may be sprinting, but where is it headed? Are the resources and time invested actually moving closer to results? Is all this effort solving core problems, or simply making an unimportant project look polished? Once these questions are raised, the halo of efficiency dims considerably.\nThe most dangerous move an organization can make is never slowness—it\u0026rsquo;s \u0026ldquo;moving fast in the wrong direction.\u0026rdquo;\nWhen direction is unclear, the higher the efficiency, the greater the deviation; the stronger the execution, the deeper the waste. It looks like prosperity, but in reality, it\u0026rsquo;s just spinning in place.\nThis phenomenon is all too familiar in many teams. Conflicting priorities leave everyone busy with their own agendas; processes are rushed forward without anyone truly understanding why; projects pile up like mountains, each one just important enough to be deemed \u0026ldquo;urgent.\u0026rdquo; Over time, the organization becomes like a rope pulled too taut: efficient on the surface, but lacking resilience.\nMature management is never about being \u0026ldquo;faster.\u0026rdquo; It\u0026rsquo;s about having the courage to pause at critical junctures, think things through, and then move forward. This isn\u0026rsquo;t conservatism—it\u0026rsquo;s a clear recognition that:\nThe goal itself is the greatest efficiency.\nWhen the goal is clear, prioritization falls into place naturally. Resource allocation becomes rational. Communication no longer drains people. The team\u0026rsquo;s energy converges in one direction instead of canceling itself out internally. You\u0026rsquo;ll even notice a paradox: a clear sense of purpose makes the organization faster on its own—no need for cheerleading or forceful pushing.\nA goal is not just a direction; it\u0026rsquo;s a system of judgment.\nIt tells you what to do, what not to do, what must be done now, and what can wait. The root cause of exhaustion in many organizations isn\u0026rsquo;t too many tasks—it\u0026rsquo;s the absence of an authoritative \u0026ldquo;why.\u0026rdquo; Without a judgment system, people are always firefighting, always reactive, always relying on speed to compensate for a lack of direction.\nWhen an organization truly possesses a goal system—an understanding of the external environment, a framing of the long-term path, and a decomposition of short-term tasks—then the excellent cases you mentioned—from Luxi Group\u0026rsquo;s goal decomposition to Amazon\u0026rsquo;s \u0026ldquo;small team experiments\u0026rdquo; to Google\u0026rsquo;s exploratory innovation mechanisms—are no longer just techniques. They become natural, inevitable outcomes.\nThis is why the more mature an organization, the more it emphasizes strategic clarity. When direction is clear, execution is not brute force but synergy. Speed is not something you force; it\u0026rsquo;s the natural result of organizational alignment. A clear strategy gives people confidence, allows unnecessary tasks to sink to the bottom, and teaches the team what to say no to—rather than trying to take on everything.\nWhen we shift our focus back from speed to goals, efficiency returns to its true meaning:\nNot compressing time, but making time more productive. Not squeezing people, but making people more valuable.\nSpeed is no longer the end goal—it\u0026rsquo;s a byproduct. Steadiness is no longer seen as procrastination, but as the composure that comes from having a sense of direction. Doing more matters less than doing the right things; dense execution matters less than accurate judgment.\nAt the end of the day, efficiency is not a competitive advantage. A clear goal is. Efficiency is merely the turbocharger for the goal; without a goal, it\u0026rsquo;s just noise.\nIn the next work cycle, if an organization is willing to let go of its obsession with \u0026ldquo;speed\u0026rdquo; and focus more on \u0026ldquo;where we are going\u0026rdquo; rather than \u0026ldquo;how fast we are running,\u0026rdquo; you\u0026rsquo;ll see a long-missed shift: the team\u0026rsquo;s mind will settle, its actions will steady, and results will arrive faster than before.\nA sense of direction is not the enemy of efficiency—it is the source of it.\n","date":"2025-11-23","description":"In an era of accelerating pace, efficiency has become the ultimate creed of organizations. But efficiency without direction is a high-intensity form of getting lost.","permalink":"https://www.kingdeguo.com/en/2025/11/23/in-pursuit-of-efficiency-but-where-is-the-goal-part-1/","tags":["Goal Orientation","Efficiency","Organizational Management","Strategic Thinking"],"title":"In Pursuit of Efficiency, But Where Is the Goal? (Part 1)"},{"categories":["Personal Growth"],"content":"Every year during year-end reviews, a fact emerges so clearly it\u0026rsquo;s almost impossible to ignore: in any industry, whether you can achieve deterministic results often depends on a few key factors—and the most important one is technological and cognitive leadership.\nThis kind of leadership cannot wait until everything is \u0026ldquo;ready\u0026rdquo; to begin. It can only be driven by a subset of people who start first.\nThis principle has been repeatedly validated in our team\u0026rsquo;s past experience.\nA few years ago, we decided to have a small group of people invest effort in directions that, at the time, seemed unlikely to yield short-term results. Many were puzzled: Was it worth it? Wouldn\u0026rsquo;t it be a waste of time?\nBut as we entered this year\u0026rsquo;s planning cycle and looked back, the answer became crystal clear. The work that didn\u0026rsquo;t immediately translate into output back then has now become critical intellectual assets. Those who stumbled and learned early—their understanding of technical pathways, scenario assumptions, and systemic risks—became the foundation upon which we can move quickly in the new year. Without their early exploration, we might not even know where to start asking the right questions today.\nIn other words, letting some people start first is not so much a \u0026ldquo;strategy\u0026rdquo; as it is a survival logic for organizations. Without this kind of advance exploration, organizations are forced to \u0026ldquo;catch up\u0026rdquo; later—and catching up is almost always more costly than exploring.\nWhy does it have to be \u0026ldquo;some people\u0026rdquo;? Because exploratory work isn\u0026rsquo;t driven by processes—it\u0026rsquo;s sustained by intrinsic motivation. Those who lead the way share a common trait: they are energized by ambiguity, not intimidated by it. They build their own answers when there are none. They don\u0026rsquo;t wait for clarity—they actively create it. They are self-directed talent, running on internal conviction rather than external structure.\nThat\u0026rsquo;s why, when they dive into exploration, what the organization sees as a short-term \u0026ldquo;blank period\u0026rdquo; is actually a future \u0026ldquo;energy reserve.\u0026rdquo; Amazon\u0026rsquo;s AWS, Google\u0026rsquo;s Gmail, Huawei\u0026rsquo;s \u0026ldquo;Blue Army\u0026rdquo; mechanism—they all follow the same pattern: organizations need to give some people enough space to experiment, collide, and grow before there\u0026rsquo;s any visible value. By the time that value is needed, they\u0026rsquo;ve already developed a depth that others can\u0026rsquo;t catch up with in a short time.\nOf course, letting some people start first isn\u0026rsquo;t some \u0026ldquo;nice but expensive\u0026rdquo; luxury—it\u0026rsquo;s deeply pragmatic. It allows a team to maintain stable operations today while building competitive capacity for tomorrow. Exploratory projects may seem like bets on the future, but their positive externalities start showing up immediately: the team becomes more vibrant simply by seeing others try new things; the organization becomes more resilient as knowledge accumulates; individuals grow faster by confronting uncertainty head-on.\nFrom a long-term perspective, the biggest risk is never \u0026ldquo;trial and error\u0026rdquo;—it\u0026rsquo;s \u0026ldquo;staying still.\u0026rdquo; The large companies that were left behind by their eras all shared one trait: they relied too heavily on existing businesses and neglected exploration of new directions, losing their edge on the next curve. In contrast, organizations that continuously let some people move first always find an upward path amid change.\n\u0026ldquo;Start first\u0026rdquo; sounds like a call to action, but its real meaning goes much deeper than action alone. It means an organization is willing to admit that the future is unpredictable, while also believing that through distributed, continuous exploration, the future can be shaped. It\u0026rsquo;s a form of organizational self-evolution—and a culture: when faced with the unknown, rather than waiting for safety, it\u0026rsquo;s better to take the first step.\nWhen some people start first, the organization gains a handle on the future. When the organization is willing to do this, it develops the ability to not be left behind by the times.\nAnd every time we let some people move first, we are essentially paving a new path for the entire team.\n","date":"2025-11-20","description":"Every year during year-end reviews, a fact emerges so clearly it's almost impossible to ignore: in any industry, whether you can achieve deterministic results often depends on a few key factors—and the most important one is technological and cognitive leadership.","permalink":"https://www.kingdeguo.com/en/2025/11/20/let-some-people-start-first/","tags":["Organizational Development","Innovation Mechanisms","Team Management","Forward-Thinking","Talent Development"],"title":"Let Some People Start First"},{"categories":["Personal Growth"],"content":"In the workplace, almost everyone has felt at some point that someone\u0026rsquo;s words or actions were \u0026ldquo;sharp.\u0026rdquo; That tightening in the chest, the instinctive urge to brace yourself—it doesn\u0026rsquo;t depend on your position. Whether you\u0026rsquo;re a newcomer just starting out or a seasoned manager leading a team for years, it can happen to anyone.\nWhat matters is understanding that this feeling is not simply a matter of being \u0026ldquo;oversensitive\u0026rdquo; or \u0026ldquo;bad-tempered.\u0026rdquo; It is a complex phenomenon in workplace communication.\nThe perception of aggression is, at its core, the result of cognitive interpretation. It is usually not an absolute attribute of the other person\u0026rsquo;s behavior, but rather our immediate judgment of their actions, tone, and context.\nThe \u0026ldquo;fundamental attribution error\u0026rdquo; in psychology shows that people tend to attribute others\u0026rsquo; behavior to their character while overlooking their circumstances and pressures. For example, a colleague under project pressure who sharply questions your proposal may seem to be targeting you personally, but it could actually stem from their own insecurity about the project\u0026rsquo;s outcome.\nThe aggression we perceive is our mind\u0026rsquo;s way of alerting us: there is potential conflict here—be on guard.\nOnce we understand the source of this feeling, the key lies in how we respond. The most effective approach is not a reflexive defense or counterattack, but rather creating a \u0026ldquo;strategic pause\u0026rdquo;: first, acknowledge your own feelings; then, quickly assess the intention behind the behavior; and finally, choose a response strategy. Ask yourself: \u0026ldquo;Is this truly directed at me, or is the other person expressing urgency or anxiety?\u0026rdquo; This internal reflection can transform emotion from a knee-jerk reaction into a rational judgment, laying the groundwork for constructive communication.\nWhen we cultivate this awareness, we gain the freedom to choose how to respond. The goal is no longer to \u0026ldquo;win the argument\u0026rdquo; or \u0026ldquo;save face,\u0026rdquo; but to steer the conversation in a constructive direction.\nFor instance, reframe a personal accusation as a focus on the issue at hand: \u0026ldquo;I hear you\u0026rsquo;re very concerned about the deadline. Do you feel there\u0026rsquo;s a risk in the timeline?\u0026rdquo; This approach acknowledges the other person\u0026rsquo;s legitimate emotions while redirecting attention to the actual problem, reducing the potential for misunderstanding and escalation.\nMature handling is not about eliminating aggression or pretending not to care. It\u0026rsquo;s about maintaining clear judgment in the very moment you feel \u0026ldquo;attacked.\u0026rdquo;\nIt means being able to discern: which issues are worth addressing, and which are irrelevant provocations; which are externalizations of the other person\u0026rsquo;s inner fears, and which are expressions of concern for the team\u0026rsquo;s goals.\nMastering this ability means you no longer have to tense up at every sharp remark, nor be swept away by your emotions. Each strategic response carves out a more stable communication space for yourself and your team, turning conflict into momentum rather than a drain.\n","date":"2025-11-19","description":"In the workplace, almost everyone has felt at some point that someone's words or actions were 'sharp.' That tightening in the chest, the instinctive urge to brace yourself—it doesn't depend on your position. Whether you're a newcomer just starting out or a seasoned manager leading a team for years, it can happen to anyone.","permalink":"https://www.kingdeguo.com/en/2025/11/19/when-do-we-perceive-aggression/","tags":["Workplace Relationships","Communication Skills","Psychological Safety","Conflict Resolution","Emotional Intelligence"],"title":"When Do We Perceive Aggression?"},{"categories":["Personal Growth"],"content":"In business management, optimism is never blind emotion; it is a strategic resource.\nIt does not mean ignoring problems, nor is it simply being positive. Rather, it is the ability of a mature manager to maintain momentum in a complex environment.\nFor many years, I believed that accurately predicting risks and clearly identifying problems were the most essential capabilities of a manager. Only later did I realize that while these are important, what truly drives a team further is a forward-looking mindset—mature optimism.\nMature optimism is not about turning a blind eye to bad news. It is about understanding that bad news tends to be amplified, emotions are easily spread, and crises naturally attract attention. It acknowledges the difficulties of reality while still choosing to move forward.\nAn enterprise is not a cave, and a manager\u0026rsquo;s job is not to avoid risks. Organizations need to run forward, not retreat. Here, optimism is a capability that must be actively cultivated. It not only affects the team\u0026rsquo;s morale but also determines the organization\u0026rsquo;s speed and scope of action. In environments of high uncertainty, a manager\u0026rsquo;s attitude often becomes the barometer for whether the team is willing to bet on the future.\nMature optimism also means maintaining the ability to act even after seeing the problems. This is not blind recklessness, but rather, while clearly understanding the limitations and risks, still being able to chart a path, provide direction, and inspire the team. It is a professional skill that helps the team understand that even in harsh conditions, there are still opportunities to create value and achieve goals.\nTruly mature managers understand that pessimism may occasionally be correct, but it is optimism that consistently drives results. The growth of a company, the accumulation of a team, and the potential of people are all, by nature, inclined toward sustained action—and sustained action is precisely a capability driven by optimism.\nOptimism is not just about strategy; it is also about people. It enables the team to dare to try and to push forward, while allowing the organization to remain resilient under pressure and enabling managers to maintain independent judgment and insight.\nOptimism is a professional capability—a tool for managers to maintain influence and sound judgment in complex environments. It is not naivety, nor is it mere positive energy. It is a strength that sees far, withstands pressure, and supports the team. It determines whether the team can keep moving forward and whether the manager can truly deliver value within the organization.\nIn the world of management, optimists are right—not because they are correct every time, but because they keep acting and keep trying, allowing opportunities and possibilities to accumulate into real results.\nThe compounding effect of sustained action and belief makes optimism the most reliable driving force for companies and teams.\n","date":"2025-11-18","description":"In business management, optimism is never blind emotion; it is a strategic resource.","permalink":"https://www.kingdeguo.com/en/2025/11/18/optimists-are-right/","tags":["Leadership","Mindset","Management Philosophy","Organizational Development","Action Orientation"],"title":"Optimists Are Right"},{"categories":["Personal Growth"],"content":"Over the past few years, I\u0026rsquo;ve found myself holding back countless thoughts that swirled in my mind, afraid to speak them aloud.\nWhen I noticed strategic goals lacking specificity, mounting pressure on the team, or imbalanced resource allocation, a string of questions would pop into my head: \u0026ldquo;Will speaking up change anything? Will it cause trouble? Is it worth the cost?\u0026rdquo;\nMost of the time, I swallowed my words.\nAt first, I thought nothing of it—at least it avoided immediate conflict.\nBut gradually, I began to realize that the impact of this silence ran far deeper than I had imagined.\nFor the project, the frontline information I held—if not passed upward—left gaps in the decision-making puzzle. The subtle details that dashboards fail to capture—shifts in team morale, latent technical risks, unspoken customer needs—if left uncommunicated, would eventually surface as problems, just later than they should have.\nFor the team, the consequences of silence were equally clear.\nI noticed that when I didn\u0026rsquo;t speak up for them, the team\u0026rsquo;s feedback became increasingly cautious. Everyone learned to hide problems, because clearly no one was fighting for their resources or alleviating their pressure.\nOver time, the team appeared \u0026ldquo;quiet and compliant\u0026rdquo; on the surface, but genuine communication and trust were quietly eroding. This feeling was a silent admission: silence doesn\u0026rsquo;t protect the team—it just lets problems accumulate in the shadows.\nFor myself, the cost of this silence was even more insidious.\nOver time, accustomed to staying quiet, I found my way of thinking subtly shifting.\nThe habit of proactively assessing risks and organizing viewpoints gradually faded, replaced by a passive filter: \u0026ldquo;Speaking up won\u0026rsquo;t change anything anyway,\u0026rdquo; or \u0026ldquo;Better not stir up trouble.\u0026rdquo;\nAt some point, I could barely articulate my own stance clearly, resorting instead to safe, generic statements. This state made me realize that silence can slowly turn a judgment-driven manager into a position-driven executor.\nSo I began to try to understand what it means to \u0026ldquo;speak up.\u0026rdquo; Speaking up isn\u0026rsquo;t about taking risks to challenge authority, nor is it about displaying courage. More often, it\u0026rsquo;s a form of information responsibility and a way to maintain influence. It means organizing the facts you have, laying out potential consequences, and offering viable options. That way, even if your suggestion isn\u0026rsquo;t adopted, the value of the information isn\u0026rsquo;t wasted, and you don\u0026rsquo;t completely lose your ability to shape the situation.\nI understand that reality is often more complicated than ideals. Sometimes, even when you speak up, you may be ignored. Sometimes your judgment is seen as a destabilizing factor. Sometimes the organizational culture makes silence the safer choice. These are all real.\nBut what keeps me vigilant is this: the cost of silence doesn\u0026rsquo;t disappear just because you choose it—it simply shifts to the team, the project, or even your own professional capabilities.\nSlowly, I\u0026rsquo;ve learned not to treat every silence as a default safe option, but as an active decision—weighing pros and cons, considering consequences, and choosing the most appropriate way to express myself. Small, consistent, fact-based communication is more reliable than saving up one big outburst, and it\u0026rsquo;s easier for the team and organization to perceive.\nIn the end, I\u0026rsquo;ve found that speaking up isn\u0026rsquo;t about winning, nor about being a hero. It\u0026rsquo;s more about presence—letting the team know someone cares about their voice, letting decision-makers know information is available, and keeping yourself grounded in understanding and judging the true state of the organization.\nSilence is easy, but its cost is often underestimated. Every time I\u0026rsquo;m about to hold back, I remind myself: choosing not to speak also has consequences.\n","date":"2025-11-17","description":"Over the past few years, I've found myself holding back countless thoughts that swirled in my mind, afraid to speak them aloud.","permalink":"https://www.kingdeguo.com/en/2025/11/17/make-your-voice-heard/","tags":["Team Collaboration","Communication","Leadership","Psychological Safety","Information Flow"],"title":"Make Your Voice Heard"},{"categories":["Technology Reflections"],"content":"In recent months, the hottest topics in my social circles have been \u0026ldquo;embodied intelligence is coming,\u0026rdquo; \u0026ldquo;language models have hit their ceiling,\u0026rdquo; and \u0026ldquo;the next wave of technological revolution has moved beyond text.\u0026rdquo;\nBeing grounded in business, I don\u0026rsquo;t really care about what papers academia publishes today, nor am I trying to compete with anyone over GPU density.\nBut the performance of language models in enterprise applications has indeed gradually revealed \u0026ldquo;glimpses of a ceiling\u0026rdquo;: more and more fine-tuning, ever-expanding prompts, increasingly complex RAG pipelines\u0026hellip; improvements are becoming painfully slow, while costs keep climbing.\nThis year has been jokingly dubbed the \u0026ldquo;Year of Agents\u0026rdquo; in the industry, and there\u0026rsquo;s even a saying circulating: \u0026ldquo;Engineering optimization is useless now; just wait for model upgrades.\u0026rdquo; But the feeling on the ground is that while model upgrades are still happening, the wow factor is diminishing, and leapfrog improvements are increasingly rare.\nIt was at this moment that I thought of Nietzsche. This man, who liked to package philosophy like dynamite, reminded us countless times: language is not the world itself; language is merely the shadow of the world. The more we believe in language, the easier it is to forget this.\nSo I want to try using Nietzsche\u0026rsquo;s perspective to conduct a thought experiment: Is the boundary of language models the boundary of language itself? And are the current new directions in AI exploration trying to break through the walls of language?\nIn On Truth and Lies in a Nonmoral Sense, Nietzsche said something that perfectly explains LLMs: Humans have lived in language for so long that they forget language is merely a metaphor, not reality itself. If we transplant this to today, it means: Large language models don\u0026rsquo;t \u0026ldquo;understand\u0026rdquo;; they are just dancing in the shadows.\nOf course, the shadow dances beautifully, as if it understands. But the moment you ask it to perform a cross-shadow operation—like mapping language into real actions, real environments, real physics—it immediately starts to fall apart.\nThis isn\u0026rsquo;t because the model isn\u0026rsquo;t smart enough; it\u0026rsquo;s because the structure of language itself is constraining it. Language can only describe \u0026ldquo;experiences that have already been classified.\u0026rdquo; But the way the world operates is often far less tidy—friction, randomness, ambiguity, indescribable feelings, phenomena without names\u0026hellip; language simply cannot fully capture them. No matter how powerful the model, it\u0026rsquo;s still interpolating within the dimension of language. No matter how magnificent this floor is built, the larger foundation beneath it—the real world—remains untouched.\nAnyone working on business deployment knows a brutal truth: LLMs are great at writing but not so great at doing. They can generate reports but can\u0026rsquo;t guarantee data accuracy. They can provide plans but can\u0026rsquo;t ensure processes are executable. They can chat but can\u0026rsquo;t react to on-site complexity. On structured, controllable, verifiable tasks—bigger models don\u0026rsquo;t necessarily mean more stability. It\u0026rsquo;s like we\u0026rsquo;re viewing business processes through a \u0026ldquo;language filter.\u0026rdquo; Often, it makes processes smoother; but sometimes, that filter itself obscures the problems.\nNietzsche would remind us: \u0026ldquo;Your belief that language is truth is itself the greatest misunderstanding.\u0026rdquo; Conversely: if language isn\u0026rsquo;t everything, then language-based intelligence can\u0026rsquo;t be everything either.\nSomeone will immediately raise their hand: \u0026ldquo;Haven\u0026rsquo;t we already made large models \u0026rsquo;take action\u0026rsquo;?\u0026rdquo; ReAct, Function Call, Tool-use, the ChatGPT plugin store, even AutoGPT—all of them translate \u0026ldquo;saying\u0026rdquo; into \u0026ldquo;doing.\u0026rdquo; Give the model a search API, and it can look up information on its own; give it an order-placing interface, and it can actually buy you a plane ticket.\nIt seems language models have grown arms. But look closely, and these \u0026ldquo;actions\u0026rdquo; all revolve around two steps: First, abstract the tool into a text description—function names, parameters, return values—all language. Second, the model still only makes probabilistic choices in language space about \u0026ldquo;which function to call next.\u0026rdquo; The actual work of turning screws, clicking mice, and executing physical processes is done by the encapsulated little worker bees outside.\nIn other words, the model is still standing behind a pane of glass, using a \u0026ldquo;language joystick\u0026rdquo; to remotely control the world. No matter how long the joystick gets, the glass remains.\nThe real-time friction, damping, and unexpected errors from the world are castrated by the API\u0026rsquo;s return values into a few lines of JSON, then sent back to the model. Errors are castrated, feedback is distorted, and the next round of decisions continues to float in the language layer. As long as an exception not covered by the API appears in the system—a delayed delivery, network packet loss, a robotic arm slipping—the entire chain breaks down.\nSo what ReAct and its ilk solve is \u0026ldquo;plugging the language model into the digital world\u0026rsquo;s socket,\u0026rdquo; not \u0026ldquo;letting the model grow its own skin to rub against the roughness of the real world.\u0026rdquo; No matter how many sockets there are, they can\u0026rsquo;t replace a physical body.\nThis brings us back to Nietzsche\u0026rsquo;s old saying: Language is just a metaphor. APIs are also metaphors, and even more cunning ones—they make developers mistakenly believe they\u0026rsquo;ve \u0026ldquo;grounded\u0026rdquo; the model, when in reality they\u0026rsquo;ve only connected it to a thin layer of semantic tinfoil that tears at the slightest touch.\nThe real challenge is the next step: directly encoding into the model\u0026rsquo;s parameters the causality of \u0026ldquo;if I drop a cup on the floor, it will shatter,\u0026rdquo; rather than \u0026ldquo;having read many sentences saying cups shatter.\u0026rdquo; The former requires a continuous action-sensation-consequence loop; the latter only needs text statistics. No matter how much text statistics expand, they can\u0026rsquo;t calculate the sharp temperature of broken glass shards.\nYann LeCun has reportedly decided to leave Meta soon to start a company focused on world models. This isn\u0026rsquo;t about bigger language models, but about intelligent systems with causality, time, physics, and action feedback—intelligence that breaks free from the \u0026ldquo;shadow of language.\u0026rdquo;\nRecent releases like Google\u0026rsquo;s Genie 3, Tencent\u0026rsquo;s HunyuanWorld-Voyager, and Berkeley\u0026rsquo;s LWM are all attempting real-time interaction, environmental perception, and causal reasoning. It\u0026rsquo;s clear the industry is forming a consensus: the limit of language models is the limit of language itself. Continuing to scale up large models will yield sharply diminishing returns. In contrast, if we let models \u0026ldquo;do\u0026rdquo; rather than \u0026ldquo;say,\u0026rdquo; they suddenly gain a brand new coordinate system: feedback, trial and error, physical constraints, environmental complexity. This is something language models can never learn from text alone.\nIf Nietzsche were brought to today, he would likely say: \u0026ldquo;The greatness of language models lies in their having squeezed language dry.\u0026rdquo;\n\u0026ldquo;The limitation of language models lies in their being able to squeeze only language.\u0026rdquo; This sentence can actually offer a very practical insight for R\u0026amp;D and product teams—treat LLMs as language systems, not world systems.\nThey excel at abstract thinking, text structuring, text generation, linear organization of reasoning, and turning chaotic information into clarity. But they are inherently weak at continuous real-world feedback, operational physical tasks, dynamic non-linguistic information, and exploring completely unknown domains.\nWhen we assign them tasks, if the approach is \u0026ldquo;explain to me,\u0026rdquo; \u0026ldquo;summarize for me,\u0026rdquo; or \u0026ldquo;judge for me,\u0026rdquo; they perform like geniuses. But the moment the task becomes \u0026ldquo;act for me,\u0026rdquo; \u0026ldquo;trial and error for me,\u0026rdquo; or \u0026ldquo;create a feedback loop for me,\u0026rdquo; they immediately disconnect. This isn\u0026rsquo;t a model problem; it\u0026rsquo;s the ceiling of language.\nIf large language models are the Everest of linguistic intelligence, the next mountain should be called \u0026ldquo;world intelligence.\u0026rdquo;\nWorld models will likely have several core elements: no longer relying solely on text—beginning to incorporate large amounts of perception, action, and physical control data; no longer making only probabilistic predictions—starting to build causal models that can explain, anticipate, and correct; no longer computing only between words—computing between \u0026ldquo;actions and consequences\u0026rdquo;; no longer outputting only sentences—directly outputting action strategies.\nThis sounds like science fiction, but it\u0026rsquo;s already beginning to happen. Future models won\u0026rsquo;t just write better papers; they\u0026rsquo;ll make robot movements more stable. They won\u0026rsquo;t just be better at reasoning; they\u0026rsquo;ll be better at surviving in the chaos of the real world.\nThis also means another boundary is emerging: language models won\u0026rsquo;t disappear, but they will become \u0026ldquo;a module within an intelligent system\u0026rdquo;—just as the mouth is always there, but humans don\u0026rsquo;t survive by mouth alone.\nNietzsche\u0026rsquo;s critique reminds us that language is powerful, but it has never been everything. Large language models have exhaustively explored the \u0026ldquo;dimension of language.\u0026rdquo; We\u0026rsquo;ve seen its brilliance, and we\u0026rsquo;ve seen its limits. What comes next is the leap \u0026ldquo;from language to the world\u0026rdquo;—embodiment, causality, action, feedback, the unpredictability of the real physical world. This is something language cannot describe, but intelligence must confront.\nIn the business world, this means: language models are no longer the complete solution for business problems, but an efficient subsystem. They solve the cognitive layer, but the execution layer, decision layer, and model-driven layer must be filled by something new. Language is like a beam of light, illuminating our way of understanding the world; but the world itself is far vaster than that beam.\nIf LLMs represent the limit of language, then the next step is to begin confronting the world itself once again.\n","date":"2025-11-16","description":"Exploring the boundaries of large language models from Nietzsche's philosophical perspective, analyzing the essential differences between language models and world models","permalink":"https://www.kingdeguo.com/en/2025/11/16/a-thought-experiment-examining-the-boundaries-of-large-language-models-through-nietzsche/","tags":["Large Language Models","Nietzsche","Philosophical Thinking","AI Boundaries","Embodied Intelligence","World Models"],"title":"A Thought Experiment: Examining the Boundaries of Large Language Models Through Nietzsche"},{"categories":["Workplace Insights"],"content":"With nothing much to do this weekend, I tidied up my bookshelf again. I happened to come across Wang Xiaobo\u0026rsquo;s The Silent Majority, a book I truly love. I flipped through it to revisit some passages and stumbled upon these lines again.\nWang Xiaobo wrote: \u0026ldquo;One of the main reasons I choose silence is that from speech, you rarely learn about human nature, but from silence, you can.\u0026rdquo; He also said, \u0026ldquo;When speech is controlled by power, what is imprisoned is not language, but the independence of the individual. To preserve one\u0026rsquo;s independence, one has no choice but to remain silent.\u0026rdquo;\nReading this, I couldn\u0026rsquo;t help but think back to my earlier post on why corporate culture became the scapegoat.\nBack then, I argued that culture becomes the fall guy, and the reason it can bear so much blame is not because it\u0026rsquo;s soft and malleable, but because it weaves a web of meaning around \u0026ldquo;who we are.\u0026rdquo; This web is invisible yet omnipresent—it determines whose voice is worth listening to, whose behavior counts as \u0026ldquo;one of us,\u0026rdquo; and whose questioning is seen as betrayal. And the fabric of this entire web is group identity.\nIdentity is a psychological force of astonishing intensity. It isn\u0026rsquo;t built through propaganda but slowly seeps into your bones through the subtle suggestion that \u0026ldquo;you belong here.\u0026rdquo;\nIn a company, the primary drivers are, of course, KPIs, bonuses, and career prospects—these are the hard currency. No one works for free just because they\u0026rsquo;re \u0026ldquo;one of us.\u0026rdquo;\nBut the subtlety of identity lies in the fact that it doesn\u0026rsquo;t provide motivation; it provides a lens.\nThe same bonus takes on a different meaning within the narrative of \u0026ldquo;our people.\u0026rdquo; The same overtime feels psychologically different when framed as \u0026ldquo;carrying the load for the team\u0026rdquo; versus \u0026ldquo;being exploited.\u0026rdquo; Identity alone doesn\u0026rsquo;t drive action, but it acts as a hidden psychological lever, quietly amplifying your craving for belonging and your fear of isolation. This social instinct turns strangers into comrades, individuals into extensions of the group, and keeps the organization cohesive under pressure—not because everyone is noble, but because no one wants to bear the cost of being cast out.\nThis is the \u0026ldquo;sweetness\u0026rdquo; of culture.\nA sense of belonging is a cheap yet highly effective adhesive. It can make a team operate like a well-drilled military unit—coordinated, swift, and even a little blindly loyal. You see this force at work in companies like Huawei, and equally in early-stage startups—a group charging forward together for a shared belief is a moving sight. Culture makes collaboration smoother, communication more efficient, and decision-making more directional.\nOnce a team figures out \u0026ldquo;who we are,\u0026rdquo; many problems naturally dissolve because the answers are already embedded in that identity.\nBut behind the \u0026ldquo;sweetness\u0026rdquo; of culture, there is always a hidden \u0026ldquo;poison.\u0026rdquo;\nGroup identity is a double-edged sword. It can unite a team, but it can also blind it. When \u0026ldquo;being like us\u0026rdquo; becomes the standard for judgment, professionalism gives way to conformity, and questioning gets labeled as \u0026ldquo;not fitting in.\u0026rdquo; People begin to self-censor, their speech becomes increasingly polished, and their opinions grow thinner. Innovation becomes safely mediocre, and breakthroughs turn into performances. Everyone knows where the problems are, but no one dares to articulate them clearly, because doing so instantly demotes you from \u0026ldquo;one of us\u0026rdquo; to \u0026ldquo;that person who speaks too bluntly.\u0026rdquo;\nThe silent majority is not born; it is manufactured.\nWhen an organization shoves contradictions into a vague basket labeled \u0026ldquo;culture hasn\u0026rsquo;t taken root,\u0026rdquo; it is essentially avoiding real structural flaws: chaotic incentives are a system issue, not an attitude problem; communication breakdowns are a process issue, not a values problem; lack of innovation is a power-design issue, not a matter of employees not being \u0026ldquo;enough like us.\u0026rdquo;\nCulture becomes the scapegoat because it\u0026rsquo;s too convenient, too soft, and too ambiguous. By deflecting blame toward \u0026ldquo;insufficient identification,\u0026rdquo; responsibility shifts from the system back to the individual, and the cost of reform is pushed back onto employees.\nAt a deeper level, the mechanism of identity itself is going astray.\nWhen an organization starts emphasizing \u0026ldquo;this is how we do things,\u0026rdquo; it shrinks the boundaries of what is permissible. Once those boundaries shrink, difference becomes suspect, suspicion becomes dangerous, and silence becomes the safe choice. Culture then loses its vitality, turning into a system that constantly taxes the individual. A healthy culture should give people confidence, not pressure; it should make people more whole, not more standardized; it should allow the \u0026ldquo;I\u0026rdquo; to breathe naturally within the \u0026ldquo;we,\u0026rdquo; rather than being forcibly molded into a uniform shape.\nA truly strong culture isn\u0026rsquo;t about making everyone the same; it\u0026rsquo;s about enabling everyone to be their best selves. You can be sharp and still be accepted. You can ask tough questions without being accused of \u0026ldquo;not understanding the culture.\u0026rdquo; You have the freedom to speak, along with the responsibility that comes with it. Your relationship with the team should be one of mutual growth, not unilateral concession.\nAn organization that can accommodate a \u0026ldquo;non-silent majority\u0026rdquo; is truly mature. It isn\u0026rsquo;t afraid of noise, disagreement, or someone saying, \u0026ldquo;I think you\u0026rsquo;re wrong.\u0026rdquo; Because it believes that diverse voices are not a threat, but a fundamental safety valve.\nWang Xiaobo\u0026rsquo;s relaxed, almost sardonic clarity feels like a reminder to everyone wrapped up in group identity: don\u0026rsquo;t forget to maintain independent judgment.\nYou can belong to the group, but you cannot be assimilated by it. You can love your job and your team, but you cannot surrender your right to think. The true value of corporate culture is not to make everyone obey like soldiers, but to make everyone think like adults. An organization should offer people a seat, not a set of shackles.\nI closed the book and felt a strange sense of certainty: \u0026ldquo;Who we are\u0026rdquo; has no standard answer. It needs to be constantly discussed, revised, and challenged. If an organization doesn\u0026rsquo;t allow such discussions, its culture has already begun to age. If a group cannot accommodate those who are \u0026ldquo;different,\u0026rdquo; its future has already hit a ceiling.\n","date":"2025-11-15","description":"Exploring the dual role of group identity in organizational culture and how to build a truly healthy corporate culture","permalink":"https://www.kingdeguo.com/en/2025/11/15/group-identity-revisiting-organizational-culture/","tags":["Organizational Culture","Group Identity","Team Management","Corporate Culture","Independent Thinking","Wang Xiaobo"],"title":"Group Identity (Revisiting Organizational Culture)"},{"categories":["Workplace Insights"],"content":"That day, sitting in the conference room, staring at a set of perfectly normal positive numbers on the financial report, I suddenly realized a bizarre truth: the company\u0026rsquo;s profits were rising, yet we were about to lay people off. Not minor tweaks, but a full-fledged \u0026ldquo;slimming campaign.\u0026rdquo;\nThe data was fine. The business was fine. Customer orders were even higher than last year. But management\u0026rsquo;s mood was tense, and the investors\u0026rsquo; tone was cold: growth wasn\u0026rsquo;t fast enough.\nIt took me a while to understand that many actions within a company aren\u0026rsquo;t taken for current revenue, but to appease something as abstract as a phantom, yet decisive for survival—future expectations.\nFrom an operational perspective, a growth slowdown is just a change in pace. But from a capital perspective, it\u0026rsquo;s an alarm. Profit is reality; growth is the future. Capital never looks at reality; it\u0026rsquo;s inherently obsessed with the future. If the future dims even slightly, capital suspects you can\u0026rsquo;t keep running.\nCapital doesn\u0026rsquo;t buy what you earn now, but whether you can earn faster later. This reminds me of Marx\u0026rsquo;s almost brutally precise phrase: capital is \u0026ldquo;value in process,\u0026rdquo; value that begets value. Meaning, if it can\u0026rsquo;t grow faster and faster, it\u0026rsquo;s like a creature being choked—it suffocates.\nA growth slowdown is capital\u0026rsquo;s suffocation. Even if profits keep rising, as long as they \u0026ldquo;aren\u0026rsquo;t rising fast enough,\u0026rdquo; capital becomes anxious and pressures management into action. These actions may be lackluster from an operational standpoint, but they are crucial in the narrative of capital. Layoffs are exactly that kind of action.\nEssentially, it\u0026rsquo;s not about saving money. It\u0026rsquo;s about telling the capital market: we are saving ourselves, we are accelerating, we are willing to sacrifice. Layoffs are a letter of credence that executives hand to capital, an inevitable plot point in the capital narrative. If you don\u0026rsquo;t cut, you aren\u0026rsquo;t \u0026ldquo;acting\u0026rdquo;; if you don\u0026rsquo;t act, you aren\u0026rsquo;t \u0026ldquo;repairing expectations\u0026rdquo;; without repaired expectations, stock prices, valuations, and financing capacity all collapse together.\nI later understood why some managers of profitable companies act like they\u0026rsquo;re sitting on a volcano—they aren\u0026rsquo;t serving the business; they\u0026rsquo;re serving the market cap. That\u0026rsquo;s the brutal reality.\nSometimes, seeing colleagues who did good work being forced to leave leaves a bitter taste in my mouth.\nBut once growth slows down and the per-person efficiency model is recalculated, the organization\u0026rsquo;s size immediately becomes \u0026ldquo;over-allocated.\u0026rdquo; Not because people suddenly became useless, but because the \u0026ldquo;future revenue space\u0026rdquo; they correspond to is deemed to have shrunk. In the capital system, the value of labor isn\u0026rsquo;t about how well you perform now, but whether you can support the future \u0026ldquo;growth story.\u0026rdquo;\nSimply put, your value doesn\u0026rsquo;t depend on what you did yesterday, but on whether you can contribute imagination space to that \u0026ldquo;bigger story\u0026rdquo; tomorrow. This is why many companies lay off employees even when profits hit record highs—profit isn\u0026rsquo;t the trigger for layoffs; expectations are.\nIt was around that time that I re-evaluated companies like Pangdonglai. It never tells a story for the capital market, never pursues that \u0026ldquo;explosive\u0026rdquo; growth. Its curve is more like tree rings—thick, solid, growing slowly, but never contracting.\nPangdonglai doesn\u0026rsquo;t need layoffs to repair its story because it doesn\u0026rsquo;t live by stories. It doesn\u0026rsquo;t treat employees as replaceable costs but as sources of value. This approach, seemingly \u0026ldquo;anti-capitalist,\u0026rdquo; has allowed the company to carve out a remarkably stable growth trajectory.\nMarx wrote in Das Kapital that surplus value originates from \u0026ldquo;living labor.\u0026rdquo; When workers re-appropriate the surplus they create, the subjectivity of labor is activated. I think Pangdonglai has inadvertently flipped that switch.\nUltimately, when a company depends on capital, it must accept capital\u0026rsquo;s logic: speed trumps facts, expectations outweigh reality.\nThe world of capital isn\u0026rsquo;t a world of reason; it\u0026rsquo;s about trends, emotions, visions, and valuations. None of these can be stabilized by profit alone. Even if you earn a billion this year, if capital thinks you\u0026rsquo;ll only earn 1.1 billion next year instead of 1.5 billion, you\u0026rsquo;re in trouble. That expectation gap directly impacts the denominator of the valuation model, compressing your imagination space for the next decade in one go.\nThe longer you stay in a company, the more you realize a cruel but true question: who does the company exist for?\nIf a company chooses to exist for capital, then a growth slowdown is original sin, and layoffs are the way to atone. If a company chooses to exist for people, a growth slowdown might be an opportunity to build long-term value and stabilize internal accumulation.\nTwo paths, two destinies.\nCapital drives companies to run at high speed, and the price of that high-speed run is that you can\u0026rsquo;t afford to slow down. For many companies, this is an inescapable fate.\nBut some companies choose a different path—not competing on stories, not racing for speed, just focusing on value itself. Such companies may not run the fastest, but they often last the longest.\nI\u0026rsquo;m not naive enough to think every company can become a Pangdonglai. The structure of capital is as deep as the ocean; trying to rewrite it is like dismantling a tank with bare hands.\nBut I at least hope more managers understand: layoffs are not an inevitable law of business operations; they are a reflexive action of the capital world. When we discuss layoffs, we aren\u0026rsquo;t discussing \u0026ldquo;efficiency,\u0026rdquo; but \u0026ldquo;what the company believes in.\u0026rdquo;\nEvery company must eventually make a choice between speed and value. This choice determines how it views a growth slowdown, and how it treats people.\nToday, I walked past that row of desks again. The computer was still on, the screen showing his unfinished weekly report. The last line read: \u0026ldquo;Q4 target achievement rate: 60%. Recommend team stability, consolidate the foundation.\u0026rdquo; I stared at that line for a long time.\nSome truths, capital cannot hear, and does not want to hear.\n","date":"2025-11-14","description":"Exploring the deep-seated reasons why companies choose layoffs during growth slowdowns, and the contradiction between capital logic and operational reality","permalink":"https://www.kingdeguo.com/en/2025/11/14/why-layoffs-when-growth-falls-short-of-expectations/","tags":["Corporate Management","Capital Logic","Layoffs","Growth Expectations","Organizational Management","Pangdonglai"],"title":"Why Layoffs When Growth Falls Short of Expectations?"},{"categories":["Workplace Insights"],"content":"In organizational theory, there is a brutal rule: when a team loses its shared external adversary, its internal order often begins to unravel. On the surface, everyone is still working toward the \u0026ldquo;mission,\u0026rdquo; but in reality, energy has shifted from \u0026ldquo;how to win in the market\u0026rdquo; to \u0026ldquo;how to distribute credit\u0026rdquo; and \u0026ldquo;who can survive longer within the system.\u0026rdquo; The enemy is no longer the competitor—it\u0026rsquo;s the person next to you.\nI\u0026rsquo;ve seen many teams rapidly descend into internal friction after losing external competitive pressure. It starts with meetings growing longer—everyone vying for a voice. Then, reports multiply—everyone rushing to prove they still matter. Finally, a favoritism culture quietly takes shape. Whoever is more \u0026ldquo;like the boss\u0026rdquo; gets heard more easily. And those who actually do the work and speak the truth are often the first to be \u0026ldquo;optimized out.\u0026rdquo;\nThe core logic of favoritism culture is actually quite simple: in an organization without a clear enemy, loyalty is safer than competence. Because an enemy can unify goals, and when the enemy disappears, the only thing left to maintain order is \u0026ldquo;trust.\u0026rdquo; But this trust is usually not based on expertise or performance—it\u0026rsquo;s based on \u0026ldquo;what kind of person you are to me\u0026rdquo; and \u0026ldquo;whose side you\u0026rsquo;re on.\u0026rdquo; Thus, factions replace standards, and emotions replace systems.\nThe result of this ecosystem is \u0026ldquo;bad money driving out good.\u0026rdquo; Those who are better at aligning with superiors and packaging themselves stay; those who insist on principles and pursue efficiency are marginalized. Over time, the entire team develops a pathological state of \u0026ldquo;fiercest internal competition, weakest external competition.\u0026rdquo; Everyone is exhausted from defending themselves, and no one is truly fighting anymore.\nThe question is: we all know this terrible trajectory, so why can\u0026rsquo;t we change it? Why do middle managers, who should be the ones to drive change, instead become the guardians of the status quo?\nThe answer isn\u0026rsquo;t simply \u0026ldquo;human nature\u0026rdquo;—it\u0026rsquo;s a set of real-world logics tightly woven from systems, risks, and interests. Let\u0026rsquo;s start with the two most direct factors: incentives and risk.\nA manager\u0026rsquo;s promotion and job security are often tied to \u0026ldquo;short-term visible results.\u0026rdquo; When you attempt a risky reform—removing a connected key person, implementing more transparent evaluations, or allocating more resources to dissenting voices—the results won\u0026rsquo;t show within a single quarter. The higher-ups won\u0026rsquo;t see the change, but they will see the conflicts, complaints, and even the \u0026ldquo;bloody headlines\u0026rdquo; you\u0026rsquo;ve caused. So the rational calculation is simple: the expected return on risk is far less than the immediate cost. In plain terms, they\u0026rsquo;re calculating their internal rate of return (IRR) at work. Expecting them to bet on a ten-year horizon for improvement next year? Unrealistic.\nSecond is the network and chain of responsibility. Power within an organization is not an isolated point—it\u0026rsquo;s a web. A manager protects certain people in exchange for short-term stable output, personal favors, and social capital. When you try to disrupt a node in this web, you\u0026rsquo;re not just touching one person\u0026rsquo;s interests—you\u0026rsquo;re triggering an entire chain of hidden debts and potential retaliation. Many managers spend their days maintaining a \u0026ldquo;manageable bad\u0026rdquo; at minimal cost, rather than risking an uncertain good.\nGoing deeper, there\u0026rsquo;s the issue of cognitive and cultural inertia. People in groups face strong pressure to conform. Even if a manager knows the process is flawed, they are easily infected by the anxiety of those around them: Who paused innovation? Who tightened their team first? When the entire middle management is contracting, it creates a self-reinforcing spiral. Conversely, the few who stick to their principles get labeled as \u0026ldquo;difficult\u0026rdquo; or \u0026ldquo;idealistic,\u0026rdquo; and the cost of their actions is socially amplified.\nThen there\u0026rsquo;s the hypocrisy of institutional design. Many organizations pay lip service to \u0026ldquo;transparency, fairness, and empowerment,\u0026rdquo; and their budgets and mission statements often look great. But the actual approval processes, resource allocation rhythms, and performance review criteria quietly maintain the old order. So good intentions become smokescreens, and the real power games happen outside meetings. Managers are drained daily in the gap between \u0026ldquo;saying\u0026rdquo; and \u0026ldquo;doing.\u0026rdquo; Over time, who dares to be the first to move that stone?\nWhen I say this, I\u0026rsquo;m not standing on a moral high ground; I\u0026rsquo;m putting myself back in that middle position where you could be reported, isolated, or labeled by HR. The real pain is two-sided: on one hand, you see what an ideal organization should look like and want to fix it; on the other, you fear that the cost of fixing it will first consume your small world—your team, your project, even your career path. So compromise becomes a survival strategy, and survival strategies, over time, become habits.\nThis is why there is always an invisible river between \u0026ldquo;knowing\u0026rdquo; and \u0026ldquo;daring to act.\u0026rdquo; Many change efforts fail not because the ideas are wrong, but because the cost of swimming that river hasn\u0026rsquo;t been accounted for: who bears the first backlash? Who bleeds on the first quarter\u0026rsquo;s KPIs? Organizations often fail to create a protective layer for reform, so smart people choose to hide their initiative, comply on the surface, conserve energy privately, and wait for the next external crisis to pull attention back.\nFrom micro to macro, this logic is amplified by a universal psychological principle: loss aversion. People would rather hold onto their current position, even if it\u0026rsquo;s toxic, than risk giving it up for an uncertain improvement. For managers, this isn\u0026rsquo;t cowardice—it\u0026rsquo;s a rational response to future uncertainty. But its side effect is that when an organization has no enemies, the energy for internal purges is ignited instead.\nSo what can be done? Not by shouting slogans, but by acknowledging several harsh realities and systematizing them: First, any manager who wants to change must have \u0026ldquo;short-term protection\u0026rdquo;—whether it\u0026rsquo;s a clear pilot window or written guarantees from higher-ups. Second, systems must embed \u0026ldquo;tolerance for failure\u0026rdquo; into performance reviews and promotion logic—if failure is recorded in your file, who will dare to try? Third, information flow must be more transparent, compressing the space for those who profit from information asymmetry. Fourth, and hardest of all, the evaluation community must change—bring in more people from diverse backgrounds to judge, rather than just listening to the \u0026ldquo;inner circle.\u0026rdquo;\nI\u0026rsquo;m not saying this as a hero teaching you how to save your organization. I\u0026rsquo;m laying out my own choices plainly: I once chose compromise at a certain point, not because I didn\u0026rsquo;t believe in my principles, but because I had people I was responsible for, and I couldn\u0026rsquo;t let an entire project collapse due to one idealistic stand. The guilt from that compromise grows into insight in the quiet of the night: either you can bear the cost of being the disruptor, or you become someone within the system who is better at repairing the cracks. Both paths are real; there is no sacred superiority in either.\nFinally, to say something not particularly romantic: the internal purges that happen when there is no external enemy can\u0026rsquo;t simply be explained away as \u0026ldquo;a sick culture.\u0026rdquo; It\u0026rsquo;s the accumulation of history, the distortion of systems, the redistribution of interests, cognitive biases, and short-term calculations layered on top of each other. Understanding this is more useful than being angry. Only when we can both see these resistances clearly and offer executable small protections in action—even if it\u0026rsquo;s just buying three months for a small experiment—can an organization slowly reverse the path of bad money driving out good.\nWriting this, I\u0026rsquo;m not casting myself as a \u0026ldquo;savior.\u0026rdquo; I\u0026rsquo;m just voicing the pain of being a participant: you want to change things, and you also calculate the consequences. What you can often do is take two steps—first, bandage the wound so your temperature doesn\u0026rsquo;t drop too fast; then, when you have enough strength, find a way to dig out the rotten bone. It\u0026rsquo;s not romantic, but in reality, it\u0026rsquo;s more survivable than shouting \u0026ldquo;fix the system,\u0026rdquo; and more likely to lead to small, real changes.\n","date":"2025-11-13","description":"Exploring the phenomenon of internal order collapsing in organizations when external adversaries disappear, and the deep-seated reasons behind it","permalink":"https://www.kingdeguo.com/en/2025/11/13/no-external-enemy-no-internal-peace/","tags":["Organizational Management","Team Collaboration","Internal Competition","Favoritism Culture","Authority and Responsibility","Trust Mechanisms"],"title":"No External Enemy, No Internal Peace"},{"categories":["Management Practices"],"content":"Today I came across a piece of news about Li Auto: an internal company announcement revealed that HR head Yang Haishan now reports directly to CEO Li Xiang, and OKR has replaced PBC as the primary performance appraisal method. Over the past year, the PBC model had triggered vicious competition within the sales team—issues like cross-region poaching and information hoarding. Now OKR is making a comeback, accompanied by the exit of former Huawei executives from management roles.\nAt first glance, this seems like a routine personnel adjustment. But the contrasting organizational responses triggered by these two performance tools reminded me of a question that has long puzzled me.\nBack when I was an individual contributor, I felt that KPI, PBC, and OKR were essentially the same—complete tasks, await evaluation, collect bonuses. But as my role evolved from frontline worker to manager, and then to middle-level coordinator, I realized that subtle differences between these tools could significantly change how I made decisions, how I communicated, and how tolerant I was of failure. Every minor adjustment gets amplified within the organization, like the flap of a butterfly\u0026rsquo;s wings, creating ripples far beyond the tool itself.\nBased on years of management experience, I\u0026rsquo;ve come to this conclusion: performance tools don\u0026rsquo;t really evaluate employees—they evaluate managers. Employee goals often come from their leaders, and the tools—through their cycle length, reward linkage, and evaluation methods—shape how managers think and behave. When managerial behavior is amplified by even small adjustments, it directly impacts the entire organization\u0026rsquo;s operations and culture. This is what I call the \u0026ldquo;butterfly effect\u0026rdquo;: small changes, amplified through managerial behavior, ultimately produce a completely different organizational landscape.\nWhile writing this article, I also reflected on the history of performance culture. Here\u0026rsquo;s some context: In the industrial era, KPI and Taylor\u0026rsquo;s scientific management made workers highly controllable. In the knowledge economy, MBO and BSC allowed knowledge workers to participate in goal-setting, but managers still held the final say. In the internet era, OKR emphasizes self-motivation and tolerance for failure, while PBC emphasizes digital commitments and outcome constraints. Each tool evolution seems minor, but the core is always about changing how managers empower, supervise, and make decisions—and these small differences in managerial behavior are enough to create organizational butterfly effects.\nOf course, these performance management tools also have distinctive real-world examples worth analyzing. Google and ByteDance\u0026rsquo;s OKR success isn\u0026rsquo;t about the template—it\u0026rsquo;s that managers spend time discussing the \u0026ldquo;why\u0026rdquo; and the \u0026ldquo;what,\u0026rdquo; not the \u0026ldquo;how\u0026rdquo; and the \u0026ldquo;how much.\u0026rdquo; Xiaomi\u0026rsquo;s early dual-track system—OKR for executives, KPI for frontline staff—seemed flexible but actually created an identity gap within the organization. When Li Auto implemented PBC, the sales team\u0026rsquo;s vicious competition wasn\u0026rsquo;t a moral failure of employees—it was a system that made individual digital commitments the only measure of righteousness. Tools shape managerial behavior, and that behavior is amplified across the entire organization—this is the butterfly effect in its most direct form.\nTherefore, the butterfly effect of performance appraisal should not be underestimated: a change in the assessment cycle, a tweak in how bonuses are linked, an expansion of goal transparency—any of these could, at some future moment, make employees suddenly realize, \u0026ldquo;We are no longer who we used to be.\u0026rdquo; This isn\u0026rsquo;t just about the tool itself—it\u0026rsquo;s the interplay of organizational culture, management logic, and power dynamics.\nUltimately, the tool itself is not the core issue. OKR, PBC, or dual-track systems each have their own historical logic and applicable scenarios. What matters is how managers use them, and whether the organization aligns them with its own culture and strategic goals. Li Auto\u0026rsquo;s restructuring appears to be a tool switch on the surface, but at a deeper level, it\u0026rsquo;s a recalibration of managerial behavior and organizational culture direction. The butterfly effect runs through it all: small changes, amplified through managerial behavior, shape the entire organization\u0026rsquo;s operating pattern—and reveal its truest soul.\n","date":"2025-11-12","description":"Using Li Auto's HR restructuring as a case study, this article explores how performance appraisal tools profoundly influence organizational culture, analyzing how tools like KPI, PBC, and OKR create butterfly effects through the amplification of managerial behavior.","permalink":"https://www.kingdeguo.com/en/2025/11/12/the-butterfly-effect-of-performance-appraisal-methods-reflections-on-li-autos-hr-restructuring/","tags":["Performance Management","Organizational Culture","Management Tools","Butterfly Effect","OKR","PBC"],"title":"The Butterfly Effect of Performance Appraisal Methods (Reflections on Li Auto's HR Restructuring)"},{"categories":["Personal Growth"],"content":"This week I pulled Les Misérables off the shelf again, trying to find Jean Valjean\u0026rsquo;s last words, only to realize I had no idea which page they were on. So I opened it randomly in the middle and found myself reading about him carrying Marius through the sewer. That suffocating feeling was all too familiar—not in a literary sense, but the literal inability to breathe. Last month, I had a bad cold and couldn\u0026rsquo;t sleep, so I picked up the book in the middle of the night. When I got to that passage, my nose was completely blocked, forcing me to breathe through my mouth until I actually made myself lightheaded from lack of oxygen. In that moment, I felt a kinship with Jean Valjean—both of us stuck in some filthy, stinking tunnel, carrying something of questionable worth, searching for an exit.\nBut I don\u0026rsquo;t have his resolve. I\u0026rsquo;ve carried plenty of things: the sense of achievement from collecting a hundred stars with the Pomodoro Technique, the delusional pride of thinking I could rebuild my worldview after finishing Critique of Pure Reason. The heaviest burden was Nietzsche. For a while, I read Thus Spoke Zarathustra every morning, and during the day at work, the word \u0026ldquo;Übermensch\u0026rdquo; flashed through my mind whenever I argued with colleagues. I felt like I was starring in some apocalyptic hero movie. Then my boss called me into a meeting and said my PowerPoint logic was flawed. I deflated on the spot. The Übermensch couldn\u0026rsquo;t even handle a slide deck.\nKant was an earlier debt. At twenty-eight, I resolved to \u0026ldquo;live with clarity,\u0026rdquo; so I devoured his three Critiques on the subway, on the toilet, and during sleepless nights. I thought that if I could just grasp the \u0026ldquo;Transcendental Aesthetic,\u0026rdquo; I could install a firewall around my emotions. Eventually, I found Kant\u0026rsquo;s daily schedule more useful than his philosophy—he took a walk every afternoon at 3:30, rain or shine. That wasn\u0026rsquo;t discipline; it was fear. The fear that if he ever stopped, the whole system would collapse. I tried it too: after work every day, I had to walk three laps around my neighborhood, counting my steps. On day three hundred, I forgot to count and just went home. That night, I felt an overwhelming relief, as if I had finally graduated from Kant.\nPsychology is a trap. Positive psychology had me writing a gratitude journal. I made it to day forty, wrote \u0026ldquo;I don\u0026rsquo;t feel like thanking anyone today,\u0026rdquo; and stopped. Existential psychology was even harsher—it told me that suffering is ontological, part of the factory settings. After hearing that, I lay flat for three days, not because I had figured anything out, but because I had no energy left. If no matter what I do, it\u0026rsquo;s all suffering, then I might as well just sleep. When you\u0026rsquo;re asleep, there are no emotions. And without emotions, you\u0026rsquo;re freer than anything.\nThe body is a snitch. For a while, I was obsessed with mind-body dualism, convinced that the soul must rise above the flesh. Then one day, with a fever of 39°C (102°F), I lay in bed and realized: existentialism is just telling you, don\u0026rsquo;t overthink it—first, drink some water. Since then, I\u0026rsquo;ve been running three times a week. Not for health, but just to prove I can still control my legs. When I run, my mind goes blank. There\u0026rsquo;s only breathing. For two hours after each run, my tolerance for the outside world noticeably increases. When the body is in good shape, the mind is willing to cooperate.\nI see emotions now like I see the weather forecast. I\u0026rsquo;m someone whose factory settings lean toward gloom—my baseline hovers perpetually between \u0026ldquo;okay\u0026rdquo; and \u0026ldquo;not great.\u0026rdquo; I used to fight it, force myself to be pumped up, and every time I crashed harder. Eventually, I learned: when I dip below baseline, I admit I\u0026rsquo;m useless, do nothing, and lie flat. Wait for it to come back up on its own. There\u0026rsquo;s no trick, no method, no philosophy—only waiting. Like waiting for a pot of water to boil. Stare at it, and it never does.\nA few days ago, I picked up Les Misérables again. I still didn\u0026rsquo;t find Jean Valjean\u0026rsquo;s last words. But I found another line: Valjean says to Cosette, \u0026ldquo;People must have love, otherwise the world is a prison.\u0026rdquo; I was reading this with a fever of 38.5°C (101.3°F). I thought, forget it—love or no love, I need to get this fever down first. But a moment later, I felt the line was true. Not because it is true, but because I needed it to be. I need to believe in something, even if it\u0026rsquo;s just a fever-induced hallucination.\nEmotional self-sufficiency, as I understand it now, is this: you have to produce your own illusions, digest them yourself, disbelieve them yourself, and still keep using them. It\u0026rsquo;s not about keeping yourself fully charged forever—it\u0026rsquo;s about accepting that you\u0026rsquo;re often out of battery, and learning to barely function in that depleted state. No asking for help, no crying out, no pretending you\u0026rsquo;re fully powered. Just lying there, waiting for the power to come back naturally. Or simply admitting, today is what it is.\nThe rain outside is loud. I haven\u0026rsquo;t turned on the lights. The glow of my phone screen on my face feels like another rain. I\u0026rsquo;m writing this down, but the sound of the rain makes me doubt whether I\u0026rsquo;ve actually written anything at all. But it doesn\u0026rsquo;t matter. Tomorrow will probably be different. Whether better or worse, I don\u0026rsquo;t know—but at least it\u0026rsquo;ll be mine. I suppose this is what self-sufficiency means: produce it yourself, doubt it yourself, and keep using it anyway.\n","date":"2025-11-11","description":"Exploring the true meaning of emotional management—not the pursuit of perpetual positivity, but learning to accept low points and still survive in that state","permalink":"https://www.kingdeguo.com/en/2025/11/11/emotional-self-sufficiency/","tags":["Emotional Management","Self-Awareness","Philosophical Reflection","Psychological Growth","Existentialism"],"title":"Emotional Self-Sufficiency"},{"categories":["Workplace Insights"],"content":"Lately, there\u0026rsquo;s a familiar scent in the air—the unmistakable aroma of year-end. Performance reviews, year-end bonuses, awards, promotion lists, and those faint whispers of \u0026ldquo;someone\u0026rsquo;s about to leave.\u0026rdquo; Screenshots start circulating in group chats, the break room buzzes with chatter, and even the quietest colleagues suddenly become well-informed. Every year at this time, the office feels like a pot of soup about to boil—calm on the surface, but bubbling furiously underneath. As a seasoned veteran who\u0026rsquo;s navigated the workplace for years, I\u0026rsquo;m especially attuned to these \u0026ldquo;shifts in the air\u0026rdquo;—when the wind blows, even if it hasn\u0026rsquo;t rained yet, I know the weather is about to change.\nWorkplace rumors never come out of nowhere. A leader\u0026rsquo;s casual remark, a subtle gesture, a shift in meeting atmosphere—all have logic and motive behind them. The problem is, most people are too busy reacting to stop and ask: Why did this happen? Who benefits? Who loses? And that, precisely, determines whether you\u0026rsquo;re a leaf blown by the wind or a tree that sees which way it\u0026rsquo;s blowing.\nLet\u0026rsquo;s start with the first layer—why do \u0026ldquo;good news\u0026rdquo; spread so fast? For example, \u0026ldquo;I heard the boss is going to promote you\u0026rdquo; or \u0026ldquo;Your project went well, you might get a raise.\u0026rdquo; It feels good to hear, but everything has a \u0026ldquo;causal chain.\u0026rdquo; If you were truly being promoted, the news wouldn\u0026rsquo;t break first in the break room. If a raise were really coming, your boss wouldn\u0026rsquo;t leak it in advance. Most of the time, this is \u0026ldquo;emotion-management fake news\u0026rdquo;—someone needs to stabilize morale, or create an optimistic atmosphere. You take it at face value, get a little excited inside, while the real plans are already moving in a different direction. So when you hear these \u0026ldquo;favorable wind\u0026rdquo; rumors, don\u0026rsquo;t smile too soon. The simplest way to judge is to look for three signals: Is there concrete action (meetings, budgets, HR documents)? Does it appear repeatedly (once is a test, three mentions signal real intent)? Is there a clear responsible party (if it\u0026rsquo;s just \u0026ldquo;someone upstairs said so,\u0026rdquo; it\u0026rsquo;s likely empty)?\nNow the second scenario—\u0026ldquo;bad news.\u0026rdquo; For instance, the boss is furious, a project got rejected, or a department is about to downsize. Everyone immediately falls into speculation: Is it me? Is it my team? This kind of news is emotional, vague, and spreads fast. Ask yourself three things: First, where does the emotion come from? Is it directly from your immediate boss, or is it secondhand? Second, what was the setting? If it happened in an all-hands meeting, it\u0026rsquo;s about \u0026ldquo;setting boundaries\u0026rdquo;; if it was a small group, it might be targeted. Third, was there any action after the anger? Anger without action is performance; anger with action is a signal.\nThen there\u0026rsquo;s the most confusing type: when a leader frequently mentions a certain person, topic, or project. Many people overinterpret this: Does being mentioned mean a promotion? Does being ignored mean I\u0026rsquo;m forgotten? In reality, mentioning a name is just a way of \u0026ldquo;allocating attention.\u0026rdquo; The key is to focus on the tone—what tone is used when mentioning you? Is there emotion attached? Is it in a problem context or a praise context? Workplace language is never flat. For example, \u0026ldquo;You\u0026rsquo;ve been busy lately\u0026rdquo;—said in a review meeting, it might be recognition; said in the hallway, it might be a hint to \u0026ldquo;stay in your lane.\u0026rdquo; You need to read the context, not just the words.\nSo how do you gauge how relevant something is to you? I\u0026rsquo;ve developed an \u0026ldquo;80-15-5\u0026rdquo; rule. 80% of things have nothing to do with you—they\u0026rsquo;re noise. 15% are indirectly related—they\u0026rsquo;re trends. Only 5% directly involve you. The problem is, most people spend their energy worrying about that 80%. A simple litmus test: Is there a specific name, a specific action, a specific outcome? If none of the three exist, it\u0026rsquo;s just air vibrating—not worth your energy. For example, \u0026ldquo;I heard the company is restructuring\u0026rdquo;—no names, no timeline, no HR moves. That kind of news only tells you one thing: someone is talking nonsense.\nOf course, real storms do happen—that 5%. For instance, you\u0026rsquo;re suddenly excluded from a key meeting, or your boss\u0026rsquo;s attitude toward you turns noticeably cold. When this happens, your first step isn\u0026rsquo;t to confront or flee. You need to do one \u0026ldquo;visible small thing.\u0026rdquo; For example, proactively send an update on the progress of your current module, @ your boss and say \u0026ldquo;for your reference.\u0026rdquo; This move has three layers: first, it asserts your presence—reminding them you\u0026rsquo;re still in the game; second, it shows professionalism—demonstrating you\u0026rsquo;re producing results; third, it tests their reaction—whether and how they respond will tell you your next move.\nThere\u0026rsquo;s also a \u0026ldquo;stop-loss\u0026rdquo; point for judging whether lightning is about to strike you. If something bothers you for more than 24 hours, yet you can\u0026rsquo;t identify any stakeholders (no one benefits, no one loses), it\u0026rsquo;s almost certainly not about you. For example, your boss didn\u0026rsquo;t greet you in the elevator, and you spend the whole day wondering if you\u0026rsquo;ve offended them—you\u0026rsquo;ve fallen into a \u0026ldquo;workplace illusion.\u0026rdquo; If something were really wrong, it wouldn\u0026rsquo;t be communicated through eye contact.\nFinally, here\u0026rsquo;s the most practical advice: Cause and effect in the workplace is rarely \u0026ldquo;proportional.\u0026rdquo; Hard work doesn\u0026rsquo;t always yield good results, and mistakes don\u0026rsquo;t always lead to punishment. The real law is this—behind every \u0026ldquo;effect\u0026rdquo; lies a \u0026ldquo;motive.\u0026rdquo; Sometimes it\u0026rsquo;s strategy, sometimes it\u0026rsquo;s trade-offs, sometimes it\u0026rsquo;s resource allocation. Once you understand this, stop hoping for \u0026ldquo;fair causality\u0026rdquo; and start learning \u0026ldquo;causal recognition.\u0026rdquo; You don\u0026rsquo;t need to see every cause, but you should at least know which effects are worth your attention.\nYear-end is here, and the rumors will only multiply. Don\u0026rsquo;t let your emotions run wild, but don\u0026rsquo;t pretend to see nothing either. Your task is to discern, amid the noise, which wind is real and which is just air moving. Because in the workplace system, every effect has a cause—but not everyone understands the meaning of cause. Those who do, always run more steadily.\n","date":"2025-11-10","description":"Exploring the causal relationships behind various workplace phenomena, helping readers identify real signals from noise and understand the logic and motives behind workplace information dissemination","permalink":"https://www.kingdeguo.com/en/2025/11/10/the-law-of-the-workplace-every-effect-has-a-cause/","tags":["workplace dynamics","information judgment","workplace communication","organizational behavior","year-end workplace"],"title":"The Law of the Workplace: Every Effect Has a Cause"},{"categories":["Management Practices"],"content":"In recent years, \u0026ldquo;company culture\u0026rdquo; has become the ultimate scapegoat in the workplace.\nA project fails? Blame the culture. A key employee leaves? Culture wasn\u0026rsquo;t properly embedded. Teams are fractured? Culture must be the issue. It\u0026rsquo;s like a ghost that shows up at every accident scene, yet no one has ever truly seen it.\nBut is culture really the problem?\nThe more I think about it, the more I believe it isn\u0026rsquo;t.\nIn many cases, what we call a \u0026ldquo;culture problem\u0026rdquo; is just a convenient smokescreen for organizations unwilling to face their real issues. Rigid systems, misaligned incentives, ambiguous authority—these are hard to fix. \u0026ldquo;Culture,\u0026rdquo; on the other hand, sounds noble, vague, and harmless. It signals reflection without requiring any real change. So it becomes the perfect stand-in. It\u0026rsquo;s like when someone says in a meeting, \u0026ldquo;We need to improve communication.\u0026rdquo; Everyone knows the only thing that will actually change is that another meeting will be scheduled.\nYou might think culture is just slogans, right? Not really. The walls may say \u0026ldquo;open communication,\u0026rdquo; but the meetings are dead silent. The company may claim to be \u0026ldquo;people-first,\u0026rdquo; but performance reviews only care about numbers. They talk about \u0026ldquo;innovation,\u0026rdquo; yet have zero tolerance for risk.\nI\u0026rsquo;ve come to realize that true culture is how an organization responds to human nature. When someone voices a dissenting opinion, do you encourage it or roll your eyes? When someone makes a mistake, do you conduct a retrospective or read them the policy manual? When a new idea emerges, do you give it a try or send it through five rounds of approval? Sitting in a conference room, I\u0026rsquo;ve found that you don\u0026rsquo;t need to observe deliberately—just look at how people dance around each other\u0026rsquo;s boundaries, and you can feel the temperature of the culture.\nCulture and systems are like form and spirit. Systems define what you can do; culture determines what you dare to do. A perfect system is dead in the water if the culture silences people. A culture that encourages openness will be ground down by reality if the systems don\u0026rsquo;t support it. Good culture is like the air conditioning in an office—you don\u0026rsquo;t notice it working, but without it, everyone feels suffocated. I often joke that culture is like air: you can\u0026rsquo;t smell it, but it can leave people with a whole range of expressions on their faces.\nHow do you tell if a company\u0026rsquo;s culture is good? Based on my years of experience, I\u0026rsquo;ve boiled it down to three core indicators:\nInformation Leverage: How many layers does a decision have to pass through before everyone in the organization knows about it? Can it be explained in one sentence? Cost of Experimentation: How many people need to say yes, and how much risk must be taken, to run a minimal experiment on a wild idea? Retribution Index: How much does someone\u0026rsquo;s compensation change in the next performance cycle after they publicly disagree with a superior? Rebuilding culture doesn\u0026rsquo;t start with slogans on the wall. It starts with the surrender of control. Are you willing to allow dissenting voices? Can you tolerate a little chaos? Do you choose to trust people even when processes don\u0026rsquo;t require it? Culture grows when an organization dares to give up some control. It\u0026rsquo;s not \u0026ldquo;built\u0026rdquo;—it\u0026rsquo;s \u0026ldquo;permitted.\u0026rdquo; Culture, at its core, is the collective breath of a group. The harder you try to control it, the thinner it becomes. The more you tolerate, the more it thrives. It\u0026rsquo;s like a cup of tea: if it\u0026rsquo;s too full, it spills the moment you stir it; if there\u0026rsquo;s less tea, it slowly seeps into the bottom of the cup.\nSo, when someone says, \u0026ldquo;Our culture has a problem,\u0026rdquo; the first question shouldn\u0026rsquo;t be about how to communicate it better. Instead, ask: Which processes make people afraid to speak the truth? Which incentives reward only safe behavior? Which management actions are quietly tightening the air? These are the real roots of cultural dysfunction. Culture isn\u0026rsquo;t a scapegoat—it\u0026rsquo;s a thermometer. It doesn\u0026rsquo;t measure what an organization says; it measures what an organization does. If the temperature is too low, the mechanisms are cold. If it\u0026rsquo;s too high, trust has been burned.\nA truly healthy culture doesn\u0026rsquo;t need to be proclaimed. It lives in the tone of meetings, in how failures are handled, and in that moment when someone dares to say one more thing. Culture is not a company\u0026rsquo;s brochure—it\u0026rsquo;s its unfiltered portrait. Whether you can look at it, whether you dare to look at it, and whether you change after seeing it—that\u0026rsquo;s what determines an organization\u0026rsquo;s future.\n","date":"2025-11-09","description":"Exploring how company culture has become the go-to scapegoat for workplace problems, and analyzing how the real drivers of organizational health are systems, incentives, and management practices—not superficial cultural slogans","permalink":"https://www.kingdeguo.com/en/2025/11/09/why-company-culture-has-become-the-scapegoat/","tags":["Corporate Culture","Organizational Management","System Design","Workplace Culture","Management Reflection"],"title":"Why Company Culture Has Become the Scapegoat"},{"categories":["Workplace Insights"],"content":"It’s the weekend, and I attended a gathering of old classmates today.\nWe sat around the table, joking, catching up on family, and chatting about work. The food wasn’t particularly great, and the conversation wasn’t especially deep, but after the meal, I felt an unexpected sense of ease.\nIt was probably that feeling of being \u0026ldquo;seen.\u0026rdquo; Not because anyone delivered profound insights or showed exceptional warmth, but because of the unspoken understanding that \u0026ldquo;you’re still here, and so am I.\u0026rdquo; The dining table allows people to momentarily set aside their roles and defenses, reaffirming each other’s presence.\nThis feeling exists in the workplace and at home as well. Team dinners, project celebrations, cross-departmental gatherings—different forms, but the same essence: in a relaxed space, people naturally reveal their true selves. Who jokes most effortlessly, who listens intently, who takes initiative, who chooses to stay silent… These subtle signals are far more authentic than any structured meeting. Sitting there, you gradually begin to see the contours of relationships.\nUnlike meetings, the dining table has no agenda and no conclusions. It acts as a buffer zone, allowing people to unwind, talk about trivial things, eat a little, and let emotions flow naturally. Words that are hard to say in everyday settings often come out more easily here. Not by force, but because the atmosphere makes everything feel effortless.\nI’ve come to believe more and more that the meaning of the dining table isn’t about eating or talking—it’s about connection. Not the transactional kind of relationship-building, but a soft, genuine bond. It lets people feel seen again and reaffirms relationships. The dining table can’t solve problems directly, but it lets you sense in advance—who is trustworthy, who needs space, who might be on the margins.\nWhether it’s old classmates, colleagues, or family, the core of the dining table isn’t the food or the conversation—it’s the fact that we’re all present in that moment. Sitting down, taking a bite, listening to a word—that alone begins to build a certain understanding.\nThis understanding won’t yield immediate results, but it will quietly make a difference in the future.\n","date":"2025-11-08","description":"Exploring the interpersonal connections behind dining table gatherings and the importance of building authentic bonds in a relaxed atmosphere","permalink":"https://www.kingdeguo.com/en/2025/11/08/the-essence-of-the-dining-table-is-connection/","tags":["Interpersonal Relationships","Team Building","Emotional Connection","Informal Communication","Organizational Culture"],"title":"The Essence of the Dining Table Is Connection"},{"categories":["Management Practices"],"content":"Lately, I’ve noticed a subtle phenomenon: many problems persist not because no one is aware of them, but because they are buried under organizational inertia. Too much energy is consumed by daily operations, and these issues never get the chance to surface.\nOnly when a conflict is intensified does it attract enough attention to be addressed.\nIn any team, task allocation always has gray areas. Person A feels overwhelmed but chooses to endure; Person B feels their contributions go unrecognized but stays silent. The manager, caught up in daily routines, has little insight into these underlying tensions. On the surface, everything seems fine, but beneath it, everyone harbors a vague unease. It’s not until a critical task is delayed due to unclear responsibilities that the conflict finally comes to light.\nThe emergence of conflict forces everyone to weigh their interests. Person A considers the risks and benefits of speaking up; Person B weighs the pros and cons of staying silent versus expressing their concerns; the manager evaluates the cost of intervention and its potential impact. Each individual engages in a psychological calculus, and these micro-level trade-offs drive macro-level changes in organizational behavior.\nThe power of conflict intensification comes not just from the issue itself, but from how people react under the pressure of these psychological calculations. When conflict remains latent, silence allows problems to fester and inertia to prevail. Once it escalates, everyone is forced to confront their own interests and responsibilities.\nOf course, intensifying conflict must be done in moderation. Over-escalation can drain organizational energy, stall work that should be moving forward, and even create new problems. Therefore, managers need to assess both the intensity and timing of conflict: make the issue visible enough to attract necessary attention, but not at the expense of long-term goals and stable operations.\nLooking back on these experiences, I’ve come to realize that intensifying conflict is not about creating chaos—it’s about bringing interests and stakes to light and reallocating resources. The psychological trade-offs and behavioral logic of each individual in the midst of conflict drive problem resolution. In this way, teams learn to find balance within conflict: neither avoiding it nor blindly escalating it, but leveraging the psychological calculus and behavioral logic of each person to guide issues toward resolution, making the organization more agile and resilient in complex environments.\n","date":"2025-11-07","description":"Exploring the role of conflict intensification in organizational problem-solving and how to strike the right balance to drive resolution","permalink":"https://www.kingdeguo.com/en/2025/11/07/only-by-intensifying-conflicts-can-we-resolve-them/","tags":["Conflict Resolution","Organizational Management","Conflict Management","Team Collaboration","Problem Solving"],"title":"Only by Intensifying Conflicts Can We Resolve Them"},{"categories":["Thinking Methods"],"content":"I developed a natural affinity for \u0026ldquo;models\u0026rdquo; early on.\nIt started with algorithm design—abstracting reality, extracting variables, identifying patterns. Later, when I read books on management and psychology, like Thinking in Systems and The Fifth Discipline, I realized that machines, organizations, and people all follow similar underlying logic. That moment struck me: models aren\u0026rsquo;t just the language of algorithms—they\u0026rsquo;re a way of thinking about the world.\nBecause of this ingrained habit, when I face complex problems, I instinctively \u0026ldquo;model\u0026rdquo; them: I ask, what are the inputs? What are the outputs? What are the feedback loops in this system?—whether it\u0026rsquo;s code, a team, or a decision, I want to see it as a system that can be simulated. This isn\u0026rsquo;t deliberate \u0026ldquo;rationality\u0026rdquo;; it\u0026rsquo;s a habit—I\u0026rsquo;ve always felt that if you can draw the structure, chaos becomes visible.\nThat\u0026rsquo;s the beauty of model thinking: it\u0026rsquo;s not about \u0026ldquo;finding answers,\u0026rdquo; but about \u0026ldquo;finding order.\u0026rdquo; When many people encounter complex problems, they think, \u0026ldquo;Who\u0026rsquo;s right or wrong?\u0026rdquo; or \u0026ldquo;What should I do?\u0026rdquo; But I care more about \u0026ldquo;Why is this happening?\u0026rdquo; Models let me replace \u0026ldquo;events\u0026rdquo; with \u0026ldquo;variables\u0026rdquo; and \u0026ldquo;emotions\u0026rdquo; with \u0026ldquo;relationships.\u0026rdquo; When you can see the relationships, the problem shifts from \u0026ldquo;right vs. wrong\u0026rdquo; to \u0026ldquo;structural deviation.\u0026rdquo; It feels like being lost in a fog and suddenly seeing a topographical map—the problem is still there, but it\u0026rsquo;s no longer intimidating.\nWriting the article on \u0026ldquo;Productivity Determines Relations of Production\u0026rdquo; was an externalization of this way of thinking. When productivity accelerates while the relations of production remain unchanged, friction is inevitable. This model isn\u0026rsquo;t just theory—it\u0026rsquo;s a pattern I\u0026rsquo;ve repeatedly observed in management. I wasn\u0026rsquo;t \u0026ldquo;quoting philosophy\u0026rdquo;; I was simply using a different lens to see the structure of reality.\nIf I had to distill my deepest understanding of model thinking, it would be this: models aren\u0026rsquo;t meant to explain the world—they\u0026rsquo;re meant to make the world simulable. They let you \u0026ldquo;sense the inevitability of change before it happens.\u0026rdquo; They also let you \u0026ldquo;see the tension between variables when conflict arises.\u0026rdquo; That\u0026rsquo;s the true power of model thinking—not cold analysis, but a sense of control.\nI later discovered an interesting pattern: the better someone is at modeling, the less prone they are to emotional reactions. Because models help you shift from \u0026ldquo;whose problem is this?\u0026rdquo; to \u0026ldquo;what\u0026rsquo;s the system\u0026rsquo;s problem?\u0026rdquo; The better you are at modeling, the easier it is to find leverage points—you start to know \u0026ldquo;which line to adjust to change the system.\u0026rdquo; Models free you from passivity; they replace anxiety with the ability to \u0026ldquo;tweak the structure.\u0026rdquo;\nSomeone once asked me how to cultivate model thinking. My answer: don\u0026rsquo;t rush to read books—first, learn to draw. Map out the problem, label the variables, connect the logical chains. Often, it\u0026rsquo;s not that you don\u0026rsquo;t understand, but that you haven\u0026rsquo;t \u0026ldquo;visualized the chaos.\u0026rdquo; Models aren\u0026rsquo;t knowledge—they\u0026rsquo;re a form of training. You have to push yourself to \u0026ldquo;abstract\u0026rdquo; again and again, until you can see order in the chaos.\nThe biggest change model thinking brought me isn\u0026rsquo;t becoming smarter—it\u0026rsquo;s becoming more humble. Because when you use models to see the world, you realize that everyone is just a part of the system. Instead of blaming individuals, it\u0026rsquo;s better to fix the structure. Instead of complaining about change, it\u0026rsquo;s better to optimize the variables. It makes you more objective, and also more gentle.\nThat\u0026rsquo;s why I now prefer this description of model thinking: it\u0026rsquo;s a rational shell wrapped around the warmth of understanding. It doesn\u0026rsquo;t teach you to abstract—it teaches you to use structure to understand the world. It\u0026rsquo;s not meant to replace human nature, but to help you see the system behind it. The meaning of model thinking has never been about fitting the world into logic—it\u0026rsquo;s about helping you find, in a complex world, that one line along which you can act with grace.\nA model isn\u0026rsquo;t a way to see the world clearly—it\u0026rsquo;s a way to see how you see the world.\n","date":"2025-11-06","description":"Exploring the crucial role of model thinking in understanding and solving complex problems, from algorithm design to management systems, demonstrating how modeling helps us gain insight into the world","permalink":"https://www.kingdeguo.com/en/2025/11/06/model-thinking/","tags":["Model Thinking","Systems Thinking","Complex Problems","Structured Thinking","Cognitive Upgrade","Management Thinking"],"title":"Model Thinking"},{"categories":["Management Practices"],"content":"The Art of Reporting: The Subtext Behind Quantitative Metrics In Can Quantification Help You Manage Your Team?, I compared quantification to a lighthouse: it can illuminate hidden rocks, but it cannot steer the ship for you.\nToday, let’s push the scenario one step further—reporting. When you have to present that beam of light to others, where it shines and how brightly determines whether the ship continues under your guidance or gets towed back to port on the spot.\nWhen I first started leading a team, I firmly believed that \u0026ldquo;showing data\u0026rdquo; equaled \u0026ldquo;fulfilling my duty.\u0026rdquo; The more rigorous the logic and the fuller the bar charts, the more professional I appeared. So in every report, I broke risks down into metrics: a 77% completion rate, a 12-day delivery delay, a month-over-month doubling of customer complaints.\nI thought I was demonstrating \u0026ldquo;sensitivity to problems,\u0026rdquo; but my boss interpreted it as \u0026ldquo;helplessness in the face of losing control.\u0026rdquo; The question that made my scalp tighten came right after a beautifully crafted line chart: \u0026ldquo;Why do you always use numbers to show what you haven\u0026rsquo;t achieved?\u0026rdquo;\nThat was the moment I realized numbers are not innocent. They can state facts, but they can also convey emotions; they can highlight effort, but they can also imply blame-shifting. A report is not a postmortem, nor is it a self-defense—it is a battle for narrative power at the organizational level. The same chart, placed in a different context, can sound worlds apart.\nSo I added two preemptive questions for myself: First, what sense of control do I truly want to convey behind this number? Second, does the listener want to hear about risk or confidence right now? These two questions narrowed the lighthouse beam into a steering wheel. Take the same 80% completion rate: instead of saying, \u0026ldquo;I only got 80% done,\u0026rdquo; I now say, \u0026ldquo;The core part still has 20% to go, the bottleneck is identified, and we expect to close the gap within two weeks.\u0026rdquo; The number didn’t change, but the context did—it shifted from \u0026ldquo;evidence of failure\u0026rdquo; to \u0026ldquo;a fluctuation in progress,\u0026rdquo; from \u0026ldquo;a signal of blame\u0026rdquo; to \u0026ldquo;an expression of control.\u0026rdquo; The essence of management is not expression, but collaboration; if numbers don’t serve collaboration, they become a burden on reality.\nI brought this \u0026ldquo;soft approach\u0026rdquo; back to my team. In retrospectives, we no longer just show progress charts; we first highlight \u0026ldquo;improvements already implemented,\u0026rdquo; then present \u0026ldquo;gaps yet to be resolved.\u0026rdquo; In regular meetings, we reordered the agenda to \u0026ldquo;adjustments first, then blockers,\u0026rdquo; so that everyone feels protected rather than exposed when their work is reviewed. Gradually, team members became willing to flag risks early—reporting evolved from \u0026ldquo;accounting for work\u0026rdquo; to \u0026ldquo;building shared understanding.\u0026rdquo; Only then did the lighthouse beam truly illuminate the entire ship, rather than just casting a spotlight on me.\nI also realized that when superiors listen to reports, they are essentially making one binary choice: continue to invest resources in you, or take the helm back? The ultimate function of quantitative metrics in an organization is to allocate attention, not to judge right or wrong. How you present that 20% gap directly determines whether you get a buffer, extra hands, or budget tomorrow. Framing a problem as \u0026ldquo;I need three more days and two more key people\u0026rdquo; is closer to an answer—and closer to resources—than saying \u0026ldquo;I didn’t do well.\u0026rdquo;\nToday, I treat every report as a calibration of the beam: it illuminates both the hidden rocks and the next turn of the wheel; it lets superiors see the risks while letting the team see hope; it uses data as a mirror and narrative as a bridge. The lighthouse beam doesn’t speak—you decide which patch of sea it lights up first. In the narrow channels of management, when numbers first say \u0026ldquo;direction\u0026rdquo; and then \u0026ldquo;rocks,\u0026rdquo; reporting ceases to be a tense defense and becomes the starting point of sustained alignment.\n","date":"2025-11-05","description":"Exploring how to use quantitative metrics effectively in work reports, transforming them from mere data displays into powerful communication tools","permalink":"https://www.kingdeguo.com/en/2025/11/05/the-art-of-reporting-the-subtext-behind-quantitative-metrics/","tags":["Work Reports","Quantitative Metrics","Communication Art","Team Management","Narrative Power","Resource Allocation"],"title":"The Art of Reporting: The Subtext Behind Quantitative Metrics"},{"categories":["Workplace Insights"],"content":"The Best Way to Pass a Resolution Is to Announce It Suddenly at a Meeting I previously wrote an article about not bearing undue pressure—this one can be seen as a more detailed scenario.\nSometimes, the most effective way to pass a resolution in an organization is surprisingly simple: announce it suddenly at a meeting.\nOn the surface, this may look like a small trick, but behind it lies a power play that exploits time gaps and psychological inertia. When the meeting is winding down and participants are mentally fatigued, the facilitator drops a line like, \u0026ldquo;So let\u0026rsquo;s just settle it this way.\u0026rdquo; Many people instinctively nod along or stay silent—because there\u0026rsquo;s no time to react, because they don\u0026rsquo;t want to create conflict on the spot, because verbal agreement feels \u0026ldquo;easier\u0026rdquo; than public opposition. And so, the resolution is rubber-stamped in near-silent compliance. Efficiency appears to improve in the short term, while real disagreements are swept under the rug until after the meeting.\nWhy does this tactic work so well? Two psychological mechanisms are at play. The first is instant compliance: when faced with a sudden request, especially in a group leaning toward consensus, people tend to agree temporarily to reduce the cost of conflict. The second is the commitment effect: once someone has verbally agreed—even just to end the awkward moment—they later find it hard to back out due to the psychological burden of \u0026ldquo;having said yes.\u0026rdquo; Combined, a sudden announcement leverages both the instinct to conform and avoid conflict, while locking in future execution responsibility under the guise of \u0026ldquo;consensus.\u0026rdquo; This isn\u0026rsquo;t sophisticated democracy—it\u0026rsquo;s pacing control. Whoever controls the timing controls the direction of action.\nUnderstanding this mechanism isn\u0026rsquo;t about opposing efficiency itself, but about learning to maintain pacing sovereignty when being pushed.\nHere are some practical strategies. First, buy yourself time. When asked to decide on the spot in a meeting, simply say, \u0026ldquo;I need a moment to think this through—can we confirm tomorrow?\u0026rdquo; It\u0026rsquo;s polite, effective, and pulls the discussion back onto prepared, evidence-based ground. Second, set boundaries on your agreement. If you must express support on the spot, add a qualifier: \u0026ldquo;I agree with the direction, but only under condition X / pending details.\u0026rdquo; This keeps your verbal commitment within a manageable scope. Third, follow up in writing to turn verbal consensus into a traceable action list: who does what, by when, and how success is measured. This step transforms \u0026ldquo;surface agreement\u0026rdquo; into \u0026ldquo;executable alignment,\u0026rdquo; reducing disputes caused by differing interpretations down the line.\nFrom a manager\u0026rsquo;s perspective, it\u0026rsquo;s also worth reflecting on why the soil exists for \u0026ldquo;sudden announcements\u0026rdquo; to be needed in the first place. Often, it\u0026rsquo;s due to poorly designed meetings: too many agenda items, unreasonable time allocation, unclear decision points, or a lack of transparent decision-making rules. Fixing these foundational issues does more to improve organizational maturity than mastering the \u0026ldquo;announcement trick.\u0026rdquo; In other words, healthy organizations should embed decision-making pacing into their systems, rather than relying on individuals to control the rhythm. But in the real world—where systems are still imperfect and progress must be made—recognizing and appropriately responding to \u0026ldquo;sudden announcement\u0026rdquo; scenarios is a skill every professional needs.\nFinally, this isn\u0026rsquo;t about teaching you to be the one who slams down a decision at a meeting. It\u0026rsquo;s about ensuring that when you face such a situation, you don\u0026rsquo;t passively become a victim of the pacing. When you can calmly buy time, set boundaries, and solidify verbal commitments in writing, you protect your own right to judgment while giving the team\u0026rsquo;s decision quality a real chance to improve. Next time you hear \u0026ldquo;So it\u0026rsquo;s settled,\u0026rdquo; don\u0026rsquo;t nod too quickly. Ask yourself: Am I truly agreeing, or am I just being carried along by the rhythm?\n","date":"2025-11-04","description":"Exploring the psychological mechanisms behind passing resolutions in meetings and how to navigate the 'sudden announcement' decision-making tactic","permalink":"https://www.kingdeguo.com/en/2025/11/04/the-best-way-to-pass-a-resolution-is-to-announce-it-suddenly-at-a-meeting/","tags":["Meeting Decisions","Power Games","Psychological Mechanisms","Pacing Control","Workplace Skills","Organizational Behavior"],"title":"The Best Way to Pass a Resolution Is to Announce It Suddenly at a Meeting"},{"categories":["Personal Growth"],"content":"Assume Everything Is Learnable I\u0026rsquo;ve always been fascinated by the concept of \u0026ldquo;learning\u0026rdquo;—not because of the knowledge it brings, but because it\u0026rsquo;s like a door that leads us from \u0026ldquo;certainty\u0026rdquo; to \u0026ldquo;possibility.\u0026rdquo;\nRecently, I came across a simple yet striking phrase: \u0026ldquo;Assume everything is learnable.\u0026rdquo; It immediately resonated with me. The sentence isn\u0026rsquo;t complicated, but intuitively, it captured some thoughts I\u0026rsquo;ve been having lately.\nThis phrase represents a reset of our underlying assumptions. If everything can be learned, then what we call \u0026ldquo;talent,\u0026rdquo; \u0026ldquo;personality,\u0026rdquo; or \u0026ldquo;limitations\u0026rdquo; are merely temporary states. In other words, we aren\u0026rsquo;t trapped by our boundaries—we\u0026rsquo;re trapped by our beliefs about those boundaries.\nLooking back at the process of growing up—school, family, society—we\u0026rsquo;ve constantly been \u0026ldquo;categorized\u0026rdquo;: you\u0026rsquo;re good at humanities, not science; you\u0026rsquo;re extroverted, you\u0026rsquo;re introverted; you\u0026rsquo;re suited for execution, not leadership. At first, these labels seem helpful for finding direction, but their side effect is clear: once you believe you\u0026rsquo;re \u0026ldquo;not that kind of person,\u0026rdquo; you automatically stop trying.\n\u0026ldquo;Assume everything is learnable\u0026rdquo; directly counters this surrender. It\u0026rsquo;s not blind confidence, but a more humble belief: just because I can\u0026rsquo;t do it now doesn\u0026rsquo;t mean I never will.\nI remember when I was a teenager, teachers said that was a critical period for \u0026ldquo;forming your worldview.\u0026rdquo; I believed it too—I thought having a fixed personality and stable values was a sign of maturity. But the more I\u0026rsquo;ve read and experienced over the years, the less certain I\u0026rsquo;ve become—not out of confusion, but because I\u0026rsquo;ve realized my thinking is genuinely evolving. Reading has introduced me to new \u0026ldquo;hypothetical worlds\u0026rdquo;: some overturn old conclusions, others redefine who I am. I\u0026rsquo;ve come to see that perhaps we spend our entire lives updating the map of ourselves—from \u0026ldquo;I am this kind of person\u0026rdquo; to \u0026ldquo;I can learn to become that kind of person.\u0026rdquo;\nThis shift in thinking brings an unexpected sense of optimism. Because if everything can be learned, failure is no longer an endpoint—it\u0026rsquo;s feedback. The unknown is no longer a threat—it\u0026rsquo;s an invitation.\nNow, whenever I face a new domain or challenge, I no longer ask, \u0026ldquo;Can I do this?\u0026rdquo; Instead, I ask, \u0026ldquo;Can I learn this?\u0026rdquo; The difference between these two questions is the difference between fear and freedom.\nAssume everything is learnable—this sentence itself feels like a door opening toward optimism.\n","date":"2025-11-03","description":"Exploring the reset of the mindset premise that 'everything is learnable' and how it helps us break through our own boundaries and limitations","permalink":"https://www.kingdeguo.com/en/2025/11/03/assume-everything-is-learnable/","tags":["Learning","Growth Mindset","Self-Breakthrough","Thinking Patterns","Talent","Limitations","Optimism"],"title":"Assume Everything Is Learnable"},{"categories":["Team Collaboration"],"content":"Productivity Determines Relations of Production Team dynamics have always been a puzzle I revisit repeatedly—who influences whom, who gets marginalized, and where those subtle tensions actually come from.\nIt was a quiet weekend, and I picked up Marx\u0026rsquo;s A Contribution to the Critique of Political Economy again. When I came across the line \u0026ldquo;productivity determines relations of production,\u0026rdquo; something clicked: those inflection points where team atmosphere swings hot and cold—aren\u0026rsquo;t they just micro-level footnotes to this very idea? So I went back over the cases I\u0026rsquo;ve observed in recent years, trying to reconstruct how this \u0026ldquo;invisible lever\u0026rdquo; actually turns inside the office.\nTo make the issue clearer, let me simplify it into a minimal model: one manager, Employee A, and Employee B. A is highly capable and proactive; B is average and dependent. The manager has to coordinate resources while balancing morale. On the surface, there are only three relationship lines—manager ↔ A, manager ↔ B, A ↔ B—but that\u0026rsquo;s enough to show us that \u0026ldquo;whoever\u0026rsquo;s productivity shifts, quietly moves the weight of power.\u0026rdquo; In real organizations, these triads stack up like building blocks: multiple \u0026ldquo;A and B\u0026rdquo; pairs within a department, multiple departments within a company, each layer playing out similar tensions and adjustments, just at different scales.\nBack to the minimal model. As soon as a project kicks off, conflict emerges. A\u0026rsquo;s high output gives him more say in decisions, but it also inadvertently disrupts the manager\u0026rsquo;s rhythm. The manager is caught in a dilemma—wanting to leverage A\u0026rsquo;s efficiency while fearing the overall pace will be thrown off. Sensing resources and attention tilting toward A, B gradually adopts a defensive posture, occasionally using a \u0026ldquo;minimum effort\u0026rdquo; strategy to protect himself. Irritation, withdrawal, anxiety—three emotional threads quietly tangle together. In the short term, this stratification seems reasonable: high performers get a sense of achievement, low performers hold onto their comfort zone. But over time, negative feedback accumulates—A grows restless from a lack of new challenges, B becomes more passive from marginalization, even considering leaving; the manager exhausts patience in constant mediation. If anyone quits, the existing balance shatters immediately: if the manager leaves, the direct contest between A and B escalates; if A leaves, the manager is forced to redistribute power, and B\u0026rsquo;s role may be passively upgraded; if B leaves, A\u0026rsquo;s dominance grows further, and the team\u0026rsquo;s rhythm becomes one-dimensional. Departure isn\u0026rsquo;t just losing one person—it\u0026rsquo;s the entire chain of production relations being unraveled and rewoven in an instant.\nThis continuous evolution deepened my understanding of the dynamic meaning behind \u0026ldquo;productivity determines relations of production\u0026rdquo;: whenever someone\u0026rsquo;s productivity changes significantly, power, resources, and influence follow—regardless of anyone\u0026rsquo;s job title. Management practice thus reminds us: team structure, task allocation, and incentive mechanisms must track subtle shifts in productivity as closely as tracking temperature. Otherwise, the vicious cycle of high performers leaving, low performers stagnating, and team vitality declining becomes hard to avoid.\nSo I started rethinking my management toolkit: shouldn\u0026rsquo;t I set deeper, more expansive goals for A, channeling his \u0026ldquo;excess capacity\u0026rdquo; into unexplored territory? Shouldn\u0026rsquo;t I pull B out of repetitive tasks and give him a visible growth ladder to climb? Shouldn\u0026rsquo;t I transform the manager from a \u0026ldquo;firefighter\u0026rdquo; back into a \u0026ldquo;system designer,\u0026rdquo; replacing ad hoc decisions with processes and mechanisms? Every micro-adjustment is essentially a response to new signals from productivity; every delay, meanwhile, lets old relationships continue to drain energy.\nI\u0026rsquo;ve become increasingly convinced that team management isn\u0026rsquo;t about locking people into fixed boxes—it\u0026rsquo;s about continuously adjusting connections in sync with the pulse of productivity. As long as that sense of flow remains, conflict and turnover risk aren\u0026rsquo;t collapses—they\u0026rsquo;re reminders for the next realignment. In other words, the undercurrent of productivity never stops flowing, and the network of production relations must be constantly woven. The manager\u0026rsquo;s long-term task is to sustain a cycle of \u0026ldquo;awareness → adjustment → renewed awareness,\u0026rdquo; giving the team both present stability and future flexibility.\nMaybe next time I open A Contribution to the Critique of Political Economy, I\u0026rsquo;ll gain a new perspective. But for now, this book has already translated its simplest line into daily, tangible, actionable moves—putting the right people in the right relationships, and making sure those relationships can always keep pace with the growth of capability.\n","date":"2025-11-02","description":"Exploring how changes in productivity within a team affect interpersonal relationships and power structures, based on Marx's theory that 'productivity determines relations of production'","permalink":"https://www.kingdeguo.com/en/2025/11/02/productivity-determines-relations-of-production/","tags":["productivity","relations of production","team management","organizational structure","power structure","interpersonal relationships","management practices"],"title":"Productivity Determines Relations of Production"},{"categories":["Thinking Methods"],"content":"What Is Reason? Whatever Can Be Explained Is Reason In the corporate world, \u0026ldquo;being reasonable\u0026rdquo; is often undervalued. Many people believe that the workplace is about results, not reason—about resources, power, and position, with no room for logic. But over time, I\u0026rsquo;ve come to realize that those who truly stand firm and navigate complex systems with ease are often very skilled at reasoning.\nThe reasoning they employ isn\u0026rsquo;t about textbook truths; it\u0026rsquo;s an \u0026ldquo;art of explanation.\u0026rdquo; A logic that others can understand, trust, and willingly act upon—that is reason.\nWhether someone is accepted by a system often depends less on how well they perform and more on whether they can make others feel that \u0026ldquo;what they say makes sense.\u0026rdquo; \u0026ldquo;Making sense\u0026rdquo; means being able to establish order amid chaos, find balance in conflict, and sketch clear contours in ambiguous situations.\nMany times, what we take for \u0026ldquo;truth\u0026rdquo; is actually just \u0026ldquo;reason that can be explained.\u0026rdquo; For example, when arguing for a budget in a meeting, if you only talk about ideals, no one will hear you. But if you can clearly articulate how that money will impact business metrics and align with company strategy, that is \u0026ldquo;reason.\u0026rdquo; You\u0026rsquo;ve aligned logic, language, and goals along a single thread.\nReason, at its core, is an explanatory structure that can be accepted. It doesn\u0026rsquo;t have to be absolutely correct, but it must be understandable and move things forward. Whatever can be explained is reason.\nAnd the act of \u0026ldquo;explaining clearly\u0026rdquo; is itself an immense challenge. It demands not only logical consistency but also precise empathy. Because \u0026ldquo;clear\u0026rdquo; doesn\u0026rsquo;t just mean logically sound—it means resonating with people. You need to know what others are thinking, what they\u0026rsquo;re worried about, and what they care about. In this sense, reasoning becomes a bridge—connecting self and others, rationality and emotion, the individual and the system.\nPhilosophically, Descartes said, \u0026ldquo;I think, therefore I am.\u0026rdquo; But today, I\u0026rsquo;m more inclined to say, \u0026ldquo;I am understood, therefore I am effective.\u0026rdquo; This isn\u0026rsquo;t a retreat from rationality, but an insight into reality. We live in a world where we explain ourselves to one another, and language itself is a mode of existence.\nSo, as I write this article, trying to explain \u0026ldquo;what reason is,\u0026rdquo; I am also practicing it—I am being reasonable. Through language, I hope to make my thoughts understandable and reusable by others. In this moment, \u0026ldquo;being explainable\u0026rdquo; is no longer just a logical skill; it has become a way of being.\n","date":"2025-11-01","description":"Exploring the essence of reason, arguing that reason is an explanatory structure that can be accepted—whatever can be explained is reason","permalink":"https://www.kingdeguo.com/en/2025/11/01/what-is-reason-whatever-can-be-explained-is-reason/","tags":["reason","explanation","communication","understanding","workplace","systems thinking"],"title":"What Is Reason? Whatever Can Be Explained Is Reason"},{"categories":["Personal Growth"],"content":"A while back, I listened to a podcast featuring Luo Yonghao and TIM from FilmStorm. TIM remarked that the essence of a podcast is \u0026ldquo;experience theft\u0026rdquo;—stealing decades of a guest\u0026rsquo;s life experience and delivering it to the audience in one sitting.\nThat comment reminded me of a vague thought I\u0026rsquo;d had long ago: buying time is, at its core, buying experience—and often, the experience itself comes bundled with it. These two things are strung together by the same thread: time, money, and experience are just different scales on the same chain.\nMy understanding of time began with its boundaries. Time isn\u0026rsquo;t an infinitely stretchable rubber band; it has a left endpoint and a right endpoint. Whether it\u0026rsquo;s the twenty-four hours in a day or the span of a lifetime, it\u0026rsquo;s finite. Money and time are the two most fundamental levers. People use money to pry open the efficiency of time, and experience is the fulcrum of that lever. Precisely because time can\u0026rsquo;t be extended, we\u0026rsquo;re willing to spend money to buy the experience of \u0026ldquo;folded time\u0026rdquo;: hiring others, paying for advice, buying courses, listening to podcasts—all of these are ways to borrow someone else\u0026rsquo;s time and wisdom to push the boundaries of our own experience outward by one notch.\nI\u0026rsquo;ve felt this leverage at work. When I first started managing projects, I used to grind through every detail myself. It was a good way to learn, but it was slow and left me with plenty of blind spots. Later, I learned to ask questions of more experienced people. A single sentence from them could untangle a knot I\u0026rsquo;d been stuck on for days. In that moment, I realized I wasn\u0026rsquo;t being lazy—I was compressing someone else\u0026rsquo;s time into my own learning curve. Figuring things out on your own builds experience; asking others borrows it. The two aren\u0026rsquo;t opposites—they\u0026rsquo;re complementary.\nThis insight also reshaped how I think about \u0026ldquo;organizational efficiency.\u0026rdquo; A team\u0026rsquo;s strength isn\u0026rsquo;t just the sum of its people; it\u0026rsquo;s the mutual borrowing of experience. When experience can flow through time, be absorbed, and then renewed, it becomes a compoundable lever. Truly growing organizations aren\u0026rsquo;t the ones that hustle the hardest—they\u0026rsquo;re the ones that are best at reusing experience and avoiding unnecessary detours.\nThis line of thought also brought me back to Kant\u0026rsquo;s Critique of Pure Reason. He argued that time and space aren\u0026rsquo;t derived from experience; they are the \u0026ldquo;a priori forms\u0026rdquo; through which we perceive the world. In other words, we innately use time to organize experience, rather than abstracting time from experience. Experience is useful to us precisely because it must be sorted and absorbed by consciousness within this built-in framework. So, \u0026ldquo;buying experience\u0026rdquo; is essentially pocketing someone else\u0026rsquo;s already time-organized \u0026ldquo;path of perception,\u0026rdquo; expanding the way we understand the world.\nAt the same time, I also thought about Musk\u0026rsquo;s favorite \u0026ldquo;first principles.\u0026rdquo; He advocates starting from the most fundamental facts and re-deriving possibilities. On the surface, this seems like a leap beyond experience. But in reality, experience prevents us from blindly repeating trial and error in a vacuum. Innovation isn\u0026rsquo;t about denying experience—it\u0026rsquo;s about making experience submit to a new logic. Only with enough experience can you accurately \u0026ldquo;return to first principles\u0026rdquo; and then set off again.\nSo, buying time is ultimately an investment in experience. It allows us to gain a higher density of understanding and more branching possibilities within our finite lives. Those hours that seem to be saved are quietly exchanged for the wisdom someone else has distilled over years.\n","date":"2025-10-31","description":"Exploring the deep relationship between time, money, and experience, and how investing in experience can boost personal growth efficiency","permalink":"https://www.kingdeguo.com/en/2025/10/31/the-essence-of-buying-time-is-buying-experience/","tags":["Time Management","Value of Experience","Learning Methods","Cognitive Upgrade","Growth Investment"],"title":"The Essence of Buying Time Is Buying Experience"},{"categories":["Technology"],"content":"Recently, I’ve been pondering: what is the true essence of a payment model?\nOne sentence: just pay.\nThese five words represent the most elegant promise in modern business. They mean—once the user pays, everything else is taken care of. No waiting, no learning, no repeated trial and error. The result emerges naturally, and value is delivered directly. What users are truly buying is a guaranteed outcome, not a complicated process.\nLooking back at the evolution of many industries, the shift has fundamentally been from \u0026ldquo;paying for the process\u0026rdquo; to \u0026ldquo;paying for the result.\u0026rdquo; Renovations are no longer billed by the day but by the delivery standard; consulting is no longer charged by the hour but priced based on effectiveness; software subscriptions follow the same logic—you’re not buying code, but the ability to solve a problem. The process can be complex, but users want it hidden.\nIn other words, the best service is one that users don’t even notice exists.\nThis is also why I’ve always had reservations about the per-call, per-token billing model for large language models. The number of calls or tokens consumed doesn’t represent the value of the result. The output of these models is too uncertain—you may need multiple rounds of trial and error, constant prompting, and repeated validation just to get a \u0026ldquo;usable\u0026rdquo; answer. That experience feels more like \u0026ldquo;paying for uncertainty.\u0026rdquo; In the end, users aren’t paying for intelligence; they’re paying for chaos.\nA truly sustainable business logic isn’t about making billing more complex—it’s about standardizing results.\nStandardization means compressing the volatility of the process into deliverable certainty: fixed quality, reusable templates, stable output. For large language model products, this translates to—not selling APIs, but selling results. Not selling reasoning capabilities, but selling ready-to-use \u0026ldquo;outcomes\u0026rdquo;: a polished piece of copy, a competent block of code, a deployable solution.\nStandardization makes \u0026ldquo;just pay\u0026rdquo; possible. Users shouldn’t have to understand tokens, call counts, or prompt engineering—these intermediate steps. The ideal product form is one where users simply pay and receive a \u0026ldquo;solved problem.\u0026rdquo; The shorter the path from payment to result, the more refined the experience; the fewer the distractions, the more solid the business model.\nPerhaps a great product should be like water—you don’t need to know its flow; just turn on the tap, and it comes out naturally. What users want isn’t control, but certainty; not participation in the process, but peace of mind in the result.\n","date":"2025-10-30","description":"Exploring the true essence of payment models in modern business and the result-oriented philosophy of product design","permalink":"https://www.kingdeguo.com/en/2025/10/30/users-pay-for-results-not-for-the-process/","tags":["Business Models","Product Design","User Experience","Large Language Models","Value Delivery"],"title":"Users Pay for Results, Not for the Process"},{"categories":["Management Practice"],"content":"Not long ago, I was reviewing the transformation case of an old brand. The company had been around for over twenty years. On the surface, its products were no longer novel, and market competition was intensifying. Yet oddly enough, it had never been replaced. That steady, almost unshakable state of \u0026ldquo;just surviving\u0026rdquo; reminded me of one word: moat. Over time, I came to realize that the reason it could remain so stable wasn\u0026rsquo;t because it moved fast—but because it had accumulated depth.\n\u0026ldquo;The depth of a moat is the thickness of time.\u0026rdquo; The more I think about this, the more it rings true. Because when we talk about moats, we often focus on resource barriers, technology patents, network effects, cost advantages—these are all important, but they are merely \u0026ldquo;surface-level moats.\u0026rdquo; What truly determines how long an organization can endure are the things that settle slowly over time: trust, processes, organizational inertia, brand recognition, customer relationships, supply chain coordination. These seemingly intangible elements are the hardest to replicate.\nThe more I reflect, the more I believe that a moat isn\u0026rsquo;t built—it\u0026rsquo;s lived. You can\u0026rsquo;t blueprint its shape from the start, nor can you stack money to construct it. It\u0026rsquo;s more like a river channel carved by time: as the water flows long enough, the sediment naturally settles, and the structure becomes solid. The most stable companies in business are essentially doing one thing: gradually layering short-term certainty into long-term inevitability.\nBut that\u0026rsquo;s easier said than done. In today\u0026rsquo;s era, too many people chase \u0026ldquo;speed\u0026rdquo;—fast growth, fast iteration, fast validation, fast returns. Time gets compressed, and the moat becomes an illusion. You might think you\u0026rsquo;re running faster, but in reality, you\u0026rsquo;re consuming future potential.\nA true moat requires time to settle into structure—not time to validate shortcuts.\nI know a friend who works in supply chain. His company\u0026rsquo;s greatest asset isn\u0026rsquo;t its technology, but a trust network built over decades. A supplier willing to prioritize your shipment during a crisis, a long-time customer willing to wait an extra three days for delivery—these things never make it into a business plan, but they can save you in critical moments. That\u0026rsquo;s the power of time. Invisible, yet unshakable.\nTime has a peculiar trait: it rewards compounding behavior. The longer you\u0026rsquo;re willing to accumulate in one direction, the easier it becomes to build a depth that others can\u0026rsquo;t replicate in the short term.\nYou can copy a product, but you can\u0026rsquo;t copy twenty years of how a company handled crises, shaped its culture, or earned customer loyalty. That is the true shape of a moat—a shape carved by time.\nSo when I see young companies talking about \u0026ldquo;building a moat,\u0026rdquo; I often think they are really making a wish upon time. A moat is not the result of strategy—it\u0026rsquo;s a byproduct of time.\nIf growth is a story of speed, then a moat is a story of time. And time is never in a hurry.\n","date":"2025-10-29","description":"Exploring the true essence of corporate moats and the critical role of time in building competitive advantage","permalink":"https://www.kingdeguo.com/en/2025/10/29/the-depth-of-a-moat-is-the-thickness-of-time/","tags":["Moat","Time Value","Corporate Competition","Brand Building","Organizational Development"],"title":"The Depth of a Moat Is the Thickness of Time"},{"categories":["Management Practice"],"content":"I came across a quote a few days ago that went something like: \u0026ldquo;Truly large projects cannot be fully controlled.\u0026rdquo; I stared at it for a few seconds. That familiar feeling hit me right in the gut. Because I realized that, over the years, the moments when I felt most in control during projects were precisely those things I was \u0026ldquo;too familiar with.\u0026rdquo; The clearer something is, the more I can break it down; the more I can break it down, the more I want to control it.\nTake WBS decomposition, for example. I could quickly map out paths, milestones, resources, and risk points—everything neat and orderly. That feeling was incredibly reassuring, like standing on a high vantage point overlooking the entire landscape, with everything running on track. But later I realized that this \u0026ldquo;sense of control\u0026rdquo; only exists in simple, repeatable tasks. The more controllable something is, the more mechanical it tends to be; and the more valuable something is, the more uncontrollable it often becomes.\nThis is actually a double-edged test: controllability brings a sense of security, and mechanicalness brings replicable efficiency, but they almost always come together. Conversely, the things that truly drive growth, innovation, or high ROI are often accompanied by a certain \u0026ldquo;unpredictability.\u0026rdquo; You can neither rely entirely on experience nor use linear logic to approximate the outcome. Faced with this kind of complexity, the more you try to control, the more anxious you become; relax a little, and it becomes easier to see the key variables.\nI vividly remember one cross-departmental innovation project where the process was vague, the goals were vague, and none of my past experience was applicable. That sense of uncertainty made me extremely anxious because there was no template to follow and no roadmap to reference. It was then that I truly understood the limits of \u0026ldquo;control\u0026rdquo;—it\u0026rsquo;s more of a psychological comfort than a practical tool. We think we\u0026rsquo;re managing risk, but in reality, we\u0026rsquo;re soothing our own anxiety.\nOver time, I learned to approach problems differently. Instead of rushing to break everything down into meticulous detail, I started by identifying key variables and establishing feedback mechanisms. Complex systems aren\u0026rsquo;t mastered through decomposition; they\u0026rsquo;re navigated through continuous adjustments to get closer to the goal. It\u0026rsquo;s like trying to precisely control the growth of a plant—you can\u0026rsquo;t, but you can adjust its light, water, and soil. The endgame of control isn\u0026rsquo;t total mastery; it\u0026rsquo;s learning to coexist.\nSo now, whenever I work on something, I remind myself: the more you can grasp, the easier it is to control; the more you want to control, the more you need to understand.\n","date":"2025-10-28","description":"Exploring the relationship between control and grasp in project management, and strategies for dealing with complex systems","permalink":"https://www.kingdeguo.com/en/2025/10/28/the-more-you-grasp-the-more-you-control/","tags":["Project Management","Control","Complex Systems","Uncertainty","Management Philosophy"],"title":"The More You Grasp, The More You Control"},{"categories":["Workplace Insights"],"content":"Sometimes I find myself wondering: in any organization, what changes a person first is never the rules or regulations—it’s the language itself.\nWhen you first join a new team, you notice that the people around you use certain words you can roughly understand but don’t fully grasp what they truly point to. So you start picking up these terms, mimicking the tone and rhythm, and gradually you can say them naturally in meetings. In that moment, you feel like you’ve fit in. But in reality, you’ve already begun to be shaped by this discourse system.\nJargon is not just a communication tool—it’s an expression of power. Whoever controls the language controls the power to define. If you can understand it, it means you’re close to the center; if you can’t, you’re still outside the door. This feeling is subtle at first—you might only notice a slight unease—but over time, it makes you constantly worry about whether your own words are “qualified.”\nFor newcomers, this experience is especially pronounced. You learn to say things like “create leverage points,” “close the loop on execution,” or “be more self-driven.” On the surface, these sound like collaboration and consensus, but beneath them lie commands and expectations. You strive to appear professional, rarely realizing that while you’re learning the language, the language is also learning to control you. Jargon makes you feel like you’re part of decision-making, but in truth, you’re already following a predetermined power structure. Its surface is communication; its depth is control. Understanding the boundaries of language means understanding the boundaries of power. Sometimes I pause and think: when I learned to say these words, did I truly become free? Or did I quietly slip myself into someone else’s logic?\nInterestingly, most people who use jargon aren’t trying to manipulate. They’re just following the rules to maintain a sense of security. Within a system, not speaking the standard language can make you seem “unprofessional,” while speaking plainly might be misunderstood or ignored. So, consciously or not, everyone gets swept up by the system, and over time, their thinking becomes assimilated. Language is supposed to be a tool for thought, but when jargon becomes the norm, it also defines who gets to speak and whose voice gets amplified. Those who master the language hold the power of discourse, while those who passively learn it struggle to change the narrative at critical moments. Every time I think about this, it gives me a slight chill—realizing that every word I say might unknowingly tie me into an invisible web.\nJargon often starts with good intentions. Words like “growth,” “retrospective,” or “mindset” were originally coined for efficiency, precision, and innovation. But when they become institutionalized and repeatedly repackaged, they shift from tools for thinking into substitutes for thought. Those who use them appear efficient but are actually repeating established patterns; those who don’t risk being excluded from the power network. Language and power intertwine to form the hidden structure within organizations. Every time I become aware of this, I can’t help but pause, take a deep breath, and think about where I want to go next.\nUnderstanding jargon means understanding the logic of how an organization operates. Language may seem simple, but it’s actually a means of control and definition. The story of how newcomers assimilate into an environment tells us that mastering jargon isn’t just about communication skills—it’s about whether you can gain a voice in the organization. True insight doesn’t lie in how many buzzwords you can throw around, but in seeing the structure and boundaries behind the language—and where you stand within them. Jargon isn’t something to fear; it’s simply a mirror reflecting the power structures of modern organizations. Seeing it means you can more clearly decide how to move forward, rather than being swept along passively.\n","date":"2025-10-27","description":"Exploring the nature of jargon in organizations and its impact on individual thinking and power structures","permalink":"https://www.kingdeguo.com/en/2025/10/27/jargon-as-a-discourse-system/","tags":["Organizational Culture","Discourse System","Power Structure","Workplace Communication","Jargon"],"title":"Jargon as a Discourse System"},{"categories":["Personal Growth"],"content":"In the past, when I got sick, I just felt uncomfortable and knew my body needed rest—my mind rarely dwelled on it. Back then, I was young, recovered quickly, and never realized that my body had anything to tell me. Illness was just a minor inconvenience in life, nothing worth reflecting on.\nBut this time was different. On a feverish morning, I stood in the sunlight and looked at my arm, suddenly feeling a sense of unfamiliarity. The texture of my skin, the loosening of its lines, and the way the light fell upon it all made me realize—my body is truly changing. In that moment, it wasn\u0026rsquo;t fear or sadness, but a quiet, gentle reminder: time has left its marks on me.\nThe sensation of aging is subtle. There are no dramatic ups and downs, just a faint awareness that gradually settles in. It made me clearly understand that I can no longer take my body for granted as I did in my youth. It exists at its own pace, silently recording the passage of time.\n","date":"2025-10-26","description":"Profound insights on the body and the passage of time gained from an illness","permalink":"https://www.kingdeguo.com/en/2025/10/26/reflections-on-being-sick/","tags":["Physical Health","Time Perception","Growth Insights","Life Philosophy"],"title":"Reflections on Being Sick"},{"categories":["Personal Growth"],"content":"Sometimes, a single sentence can completely upend the way you see the world. The first time I read Adler\u0026rsquo;s concept of \u0026ldquo;teleology of the past,\u0026rdquo; it felt like a wake-up call. He argued that people are not driven by the past, but drawn by the future. In that moment, I froze—perhaps our constant refrain of \u0026ldquo;the past determines the present\u0026rdquo; is just an excuse for being too lazy to redefine ourselves.\nWe love to blame the present on the past: childhood shadows, missed opportunities, unhealed wounds. It sounds reasonable, but it implies a deeper assumption—\u0026ldquo;I am already set in stone.\u0026rdquo; Yet reality is far more complex: the same experience can break one person and strengthen another. If the past truly determined everything, how could change ever happen? Adler\u0026rsquo;s answer was simple and powerful—we are not shaped by the past; we use the past to justify the person we want to become.\nThis insight was like a light, helping me see many things anew. The facts of the past cannot be undone, but their meaning can always be rewritten. You can say, \u0026ldquo;I am sensitive because I lacked love as a child,\u0026rdquo; or you can say, \u0026ldquo;Because I know the pain of being ignored, I can better understand others.\u0026rdquo; The content is nearly identical, but the direction is completely different: the former is the end of fate, the latter is the starting point of choice.\nIn real life, such \u0026ldquo;interpretive reversals\u0026rdquo; are everywhere. When someone succeeds, people look back and say their childhood hardships and resilient character were seeds planted by destiny. But if the same person fails, people use the same story to draw the opposite conclusion—they were too stubborn, too obsessive. The facts haven\u0026rsquo;t changed; only our interpretation has. This reveals a harsh yet liberating truth: the past is never monolithic; its meaning always depends on how you see it today.\nFrom a probabilistic perspective, the past is just a sample, not a law. You can\u0026rsquo;t conclude that you\u0026rsquo;ll never win again just because you\u0026rsquo;ve drawn a few bad cards. Every decision, every choice, is a \u0026ldquo;resampling.\u0026rdquo; As long as the probability isn\u0026rsquo;t zero, the future always holds variables. This is my favorite metaphor—it restores faith in agency, in the belief that willpower can shift the distribution.\nI\u0026rsquo;ve seen people who have made peace with their past. When they talk about old memories, their tone is lighter—not because they\u0026rsquo;ve forgotten, but because they\u0026rsquo;ve realized that pain itself cannot be erased, but it can be transformed. Those who truly move forward turn their wounds into strength. Others, however, keep trying to explain \u0026ldquo;why I am this way.\u0026rdquo; They think explanations make them blameless, but they don\u0026rsquo;t realize that the more they explain, the more they reveal they are still trapped in the past.\nGrowth, perhaps, is the ongoing process of rewriting \u0026ldquo;who I am.\u0026rdquo; When you shift from \u0026ldquo;why did that happen back then\u0026rdquo; to \u0026ldquo;what do I want next,\u0026rdquo; you are no longer defined by the past. That\u0026rsquo;s not avoidance—it\u0026rsquo;s a more mature understanding: the past is not destiny, but raw material. Every one of us has the right to rearrange it.\n","date":"2025-10-25","description":"Exploring the teleological perspective in Adlerian psychology and the relationship between the past and the present","permalink":"https://www.kingdeguo.com/en/2025/10/25/teleology-of-the-past/","tags":["Psychology","Self-Awareness","Adler","Growth"],"title":"Teleology of the Past"},{"categories":["Management Practices"],"content":"I have always believed that the true soul of an organization lies not in its vision statements or beautifully designed culture handbooks, but in its organizational structure.\nStructure is not a cold, lifeless diagram—it is a map of power and trust, the most honest expression of management\u0026rsquo;s answer to the question, \u0026ldquo;How should we get things done?\u0026rdquo;\nLook closely: companies that claim to practice \u0026ldquo;flat management\u0026rdquo; often quietly revert to hierarchy amid the chaos. Institutions that constantly preach \u0026ldquo;people-first\u0026rdquo; values often find their people trapped by processes, and their processes drowned in reporting layers. Structure is never neutral. It reflects what an organization truly believes, tolerates, and fears.\nA control-centric organization inevitably builds an airtight structure—layers of approvals, convoluted reporting mechanisms, even a printer toner replacement requiring three levels of sign-off. The will behind such a structure is \u0026ldquo;stability first, efficiency second.\u0026rdquo; In its view, making a mistake is far worse than standing still. In contrast, a trust-based organization tends to have a structure that resembles a network—clear roles but fluid communication. Its will is not to \u0026ldquo;prevent errors,\u0026rdquo; but to \u0026ldquo;enable progress.\u0026rdquo;\nOrganizational structure has another fascinating trait: it is the solidified form of will. Whatever values a founder holds, the structure will be shaped accordingly. A control-oriented boss will inevitably build a complex approval system; a team that thrives on innovation will naturally develop cross-departmental collaboration mechanisms. In other words, structure is an extension of leadership personality—an institutionalized psychological projection.\nThe root cause of many failed organizational reforms is not a lack of execution, but an unchanged will. Leaders talk about agile transformation while secretly fearing delegation; they champion innovation while the structure remains layered with defenses. You can reorganize departments, but as long as the underlying will of \u0026ldquo;I don\u0026rsquo;t trust this\u0026rdquo; persists, the structure will inevitably revert to its old form.\nOrganizational growth is, at its core, the evolution of will. Early stages rely on control for survival, mid-stages expand through division of labor, and mature stages must learn trust and collaboration. Every structural adjustment represents an upgrade of will. It is not merely the movement of lines on a chart, but a reconfiguration of philosophy into reality.\nThat\u0026rsquo;s why I often say: to understand an organization, don\u0026rsquo;t listen to its propaganda—just look at its structure chart. Who reports to whom, who holds decision-making power, who is responsible for coordination—the direction of these lines reveals an organization\u0026rsquo;s true value hierarchy. It is not accidental design, but the visualization of deep-seated will.\nAn excellent organizational structure may not be perfect, but it must be the best match for the current stage of will. Only when the organization\u0026rsquo;s will evolves does the structure need to be reshaped accordingly. Otherwise, no matter how beautifully the chart is drawn, it remains nothing more than a relic of an outdated will.\n","date":"2025-10-24","permalink":"https://www.kingdeguo.com/en/2025/10/24/organizational-structure-is-the-embodiment-of-organizational-will/","tags":["Organizational Structure","Management Philosophy","Leadership","Corporate Culture"],"title":"Organizational Structure Is the Embodiment of Organizational Will"},{"categories":["Personal Growth"],"content":"When I was young, I always treated \u0026ldquo;setbacks\u0026rdquo; as a label for failure, believing that avoiding falls meant saving face. But as I walked further along the path, I gradually came to realize that setbacks are more like a vaccine—they sting when injected, but what they leave behind isn\u0026rsquo;t just a scar; it\u0026rsquo;s an ability to withstand future shocks.\nSetbacks are frightening because they are so direct. They don\u0026rsquo;t sugarcoat or comfort you; they simply shine a light on your blind spots: those self-righteous judgments, those unnoticed biases, those illusions that \u0026ldquo;effort alone is enough.\u0026rdquo; Once reality pulls back the curtain, you have no choice but to face yourself. This process is uncomfortable, but it is real. That\u0026rsquo;s precisely why setbacks teach you proportion and humility better than any theory ever could.\nAnd so I\u0026rsquo;ve come to accept that old saying: only what you experience can you truly transcend. Reading books and attending lectures can give you a framework, but only after being knocked around by life, rejected by decisions, and tested by relationships do you learn—in your very bones—what your limits are and where your fallback lies. The confidence you gain in smooth sailing can\u0026rsquo;t withstand a single big wave; but the steadiness forged through hardship will hold you firm when the next storm comes.\nNietzsche once said: \u0026ldquo;What does not kill me makes me stronger.\u0026rdquo; When I first read this as a young man, I took it as a bold declaration. Only later did I understand its warmth. Strength isn\u0026rsquo;t about not feeling pain anymore; it\u0026rsquo;s about understanding where the pain comes from and knowing you can get back up after it passes. People who have been vaccinated aren\u0026rsquo;t guaranteed never to get sick, but they know how to take care of themselves and how to minimize the damage when illness strikes. The immunity of life, too, is built up gradually through repeated discomfort.\nNow, when I encounter a setback, I often give myself a few minutes of silence first, then ask: What will this pain teach me? Sometimes the answer is practical—a technical shortcoming. Sometimes it\u0026rsquo;s a flaw in my thinking. More often than not, it\u0026rsquo;s a reminder to adjust my expectations and boundaries. After the pain subsides, you find that you no longer magnify every misstep into a disaster. Instead, you treat it as a small-scale test—feel the sting, record it, improve, and move on.\nExperience doesn\u0026rsquo;t make you fearless; it only makes you better at enduring. Pain is inevitable, but immunity is real. Learning to treat setbacks as part of your training may not make life easier, but it allows us to maintain direction and strength even when life is hard.\n","date":"2025-10-23","permalink":"https://www.kingdeguo.com/en/2025/10/23/experiencing-setbacks-is-like-getting-a-vaccine/","tags":["Resilience Education","Mental Toughness","Growth Mindset","Self-Awareness"],"title":"Experiencing Setbacks Is Like Getting a Vaccine"},{"categories":["Workplace Insights"],"content":"The \u0026ldquo;managing up\u0026rdquo; that people often talk about in the workplace almost always refers to your direct supervisor—your +1. Most tutorials and experience-sharing focus on how to satisfy your immediate boss, how to grasp what they care about, and how to present your work clearly.\nBut reporting to your +2 leader is something rarely discussed.\nWhat does a +2 leader mean? They may decide resource allocation, key strategies, and even influence your career trajectory. Yet as a regular employee, you have very few opportunities to directly engage with your +2. Most of the time, your results and ideas are filtered through your +1.\nWithout a direct channel of communication, you lack a voice.\nI first truly realized the importance of reporting to a +2 during an annual strategy meeting. As a team lead, I finally had a brief opportunity to present to the department vice president. The nervousness I felt wasn\u0026rsquo;t from fear of criticism—it was the fear that my work would be \u0026ldquo;diluted,\u0026rdquo; that my efforts wouldn\u0026rsquo;t reach the people making the real decisions. In that moment, I understood: managing up to your +1 is just the training ground; reporting to your +2 is the real battlefield.\nSo, with limited opportunities, how do you do it? The key isn\u0026rsquo;t the completeness of your report, nor is it overwhelming them with data. It\u0026rsquo;s about highlighting the value of yourself and your team, showcasing what matters most to them. You don\u0026rsquo;t need to present every detail of your work—instead, choose content that demonstrates decision-making value, risk awareness, and innovation. More importantly, let your +2 see your understanding of the business and your sense of ownership over results, not the nitty-gritty of the process.\nThe channel matters too. Beyond face-to-face reporting, you can often influence your +2 indirectly through your +1. This requires strategy and patience: help your direct supervisor understand the core value of your work, while providing highlights they can pass up the chain. This way, your efforts naturally get visibility in the reporting flow. It\u0026rsquo;s not just a skill—it\u0026rsquo;s a game you must play in the workplace: how to ensure key decision-makers get the necessary information while preserving your own agency, all within limited influence.\nLooking back, these lessons didn\u0026rsquo;t come from books. They came from countless observations, experiments, and reflections—and from understanding workplace human nature and organizational logic. Regular employees often feel opportunities are scarce, information is filtered, and their voice is limited. But once you truly grasp the thinking behind reporting to a +2, you realize the workplace isn\u0026rsquo;t a zero-sum game. It\u0026rsquo;s an art of finding your presence through strategy and thought.\nRather than rushing to be seen, first make yourself worth seeing. Reporting to your +2 isn\u0026rsquo;t just about reporting—it\u0026rsquo;s about becoming someone others want to hold onto. In the workplace, opportunities are like an elevator: they don\u0026rsquo;t wait for you. You have to learn to press the button yourself.\n","date":"2025-10-22","permalink":"https://www.kingdeguo.com/en/2025/10/22/how-to-report-to-your-2-leader/","tags":["Managing Up","Reporting Skills","Workplace Relationships","Leadership"],"title":"How to Report to Your +2 Leader?"},{"categories":["Management Practices"],"content":"The first time I tried to implement a strict reward-and-punishment system within my team, I was genuinely excited. I thought I finally had a \u0026ldquo;hardcore weapon\u0026rdquo; in my hands. Everyone\u0026rsquo;s KPIs were clearly defined, and the incentives and penalties were crystal clear—only to find that reality didn\u0026rsquo;t follow the script I had in mind. Some people gritted their teeth and completed tasks just to avoid punishment, all while secretly scheming in their heads. Others, upon receiving rewards, simply relaxed their efforts. A few even found ways to bypass the rules, engaging in subtle \u0026ldquo;slacking off\u0026rdquo; maneuvers. In that moment, I realized that clear rewards and punishments are far from a universal solution.\nIn management theory, this isn\u0026rsquo;t exactly new. Herzberg\u0026rsquo;s Two-Factor Theory long ago told us that motivation (rewards) and hygiene (punishments) are two different things. Punishment can prevent problems, but it doesn\u0026rsquo;t necessarily spark creativity; rewards can encourage behavior, but they don\u0026rsquo;t guarantee sustained commitment. In practice, I came to deeply understand that rules and numbers only govern the surface—human motivation and psychology are the truly unpredictable variables.\nDrawing from experience in software engineering, the parallel is fitting: code reviews, process standards, and automated testing are all tools of \u0026ldquo;clear rewards and punishments\u0026rdquo;—errors are flagged, bugs are fixed. On the surface, everything seems orderly. But in reality, if the team\u0026rsquo;s culture, trust, and sense of responsibility aren\u0026rsquo;t in place, these tools easily devolve into mere formalism. No matter how polished your standards are, if team members don\u0026rsquo;t buy into their value, they remain nothing more than words on paper.\nI began to reflect on the hidden costs involved. Setting rules takes time, enforcing them requires energy, and maintaining them demands sharp judgment. Every rigid enforcement can trigger defensiveness and a guarded mindset. Over the long haul, the team\u0026rsquo;s atmosphere of trust may actually erode. This reminds me of many business scenarios: no matter how well-designed a company\u0026rsquo;s policies are, employees will still find ways to protect their own interests through various channels. Because trust itself carries a cost, and being wary of the unknown or uncertain environments is a natural human response.\nSo, clear rewards and punishments are not a silver bullet—they\u0026rsquo;re just one screwdriver in the management toolbox. They can correct deviations and constrain behavior, but they cannot solve issues of motivation, trust, or value alignment. Truly effective management requires a higher level of design: how to make rules understood, how to get goals embraced, and how to strike a balance between systems and human nature. Perhaps there is no perfect answer—and that\u0026rsquo;s precisely what makes management so fascinating. You\u0026rsquo;re always experimenting and adjusting, searching for the right \u0026ldquo;temperature.\u0026rdquo;\nIn the end, the lesson I took away is this: clear rewards and punishments can clear the path, but a team\u0026rsquo;s energy and creativity are built step by step through trust, shared understanding, and psychological safety. Rules are just a supporting tool, not the main act. Understanding this keeps you from becoming a slave to regulations—and from mistakenly believing that hardline measures are a cure-all.\n","date":"2025-10-21","permalink":"https://www.kingdeguo.com/en/2025/10/21/clear-rewards-and-punishments-are-not-a-silver-bullet/","tags":["Team Collaboration","Trust Mechanisms","Rules and Human Nature","Management Tools"],"title":"Clear Rewards and Punishments Are Not a Silver Bullet"},{"categories":["Personal Growth"],"content":"As I accumulate more experience, I find myself becoming increasingly sensitive to trust. In the past, a simple smile might have been enough to convince me that someone was reliable. But now, even in the midst of a smile, I find myself weighing the pros and cons. This shift is not mere coldness or a facade of worldliness—it is the natural accumulation of psychological cost that comes with experience. Trust itself has a price, and experience teaches us how to measure it. Yet the very act of measurement also breeds hesitation and caution.\nOften, I find myself caught in a dilemma: I know that trust is a prerequisite for collaboration, yet I fear being let down. In business, this contradiction is even more pronounced: signing contracts, delineating responsibilities, negotiating profit splits—on the surface, these are just rules, but behind every clause lies a defense against uncertainty. The cost of trust is magnified here, and every decision feels like placing a weight on a scale—one wrong move and the partnership could tip out of balance.\nSometimes, I even wonder if I’m being overly cautious. But then I realize this isn’t a personality flaw—it’s a product of my environment. Whether you’re an entrepreneur or a team leader, every mistake, every time you’re forced to bear risk passively, makes you more guarded before the next collaboration. Playing it safe isn’t cowardice; it’s a rational form of self-protection.\nThis also leads me to reflect on a paradox of human cooperation that has existed since the Enlightenment’s concept of the social contract: contracts were born out of the desire to collaborate in the absence of full trust. Modern business and society are no different—only now, the complexity is greater, the flow of information faster, and the web of interests more entangled. We fear distrust, yet we are compelled to act on the possibility of it. This is the real-life prisoner’s dilemma: everyone is strategically protecting themselves.\nConfusion is inevitable. There is no formula that tells you when to trust and when to stay guarded. The more experience you have, the more it warns you of risks—but experience alone cannot fully resolve uncertainty. This sense of confusion is, in fact, a genuine feeling. It reminds you that human interaction is never black and white; trust and caution are always in tension, seeking balance.\nIn the end, I’ve begun to accept this incompleteness. Trust has never been free, and caution is not a sin. In a complex world, what we can do is understand our own experience, weigh the costs, and choose to collaborate with clarity. The more experience you gain, the more guarded you become—but precisely because of that, we can build each relationship more wisely and more rationally, even if the outcome remains uncertain.\n","date":"2025-10-20","permalink":"https://www.kingdeguo.com/en/2025/10/20/the-more-experience-you-gain-the-more-guarded-you-become/","tags":["Trust Mechanisms","Workplace Relationships","Experience Accumulation","Risk Management"],"title":"The More Experience You Gain, the More Guarded You Become"},{"categories":["Technology"],"content":"The Profit Model of Large Language Models Resembles Traditional Manufacturing Recently, I chatted with a few friends working in AI, and they all laughed, saying, \u0026ldquo;You think we\u0026rsquo;re in the internet business, but it\u0026rsquo;s more like running a factory.\u0026rdquo;\nAt first, I didn\u0026rsquo;t take it seriously, assuming they were exaggerating. But upon reflection, it\u0026rsquo;s strikingly true. The logic behind the investment, operations, and profitability of large language models (LLMs) bears an uncanny resemblance to traditional manufacturing.\nLet\u0026rsquo;s start with investment. LLMs aren\u0026rsquo;t like launching an app and effortlessly attracting users. Whether it\u0026rsquo;s building computing clusters, curating massive training datasets, or coordinating engineering teams, every step is asset-heavy, cost-intensive, and time-consuming. Training a large model once can result in computing bills running into millions or even tens of millions. The internet model emphasizes zero marginal cost—more users mean lower per-user costs. But LLMs face increasing marginal costs: more users mean higher inference costs. Each additional request today means more electricity consumed and more computing power occupied.\nThen there\u0026rsquo;s operations. Do you think once the model is deployed, traffic will just roll in? No. Every iteration and optimization is akin to process improvements in industrial manufacturing. Data cleaning is like raw material processing, model training is like assembly line operations, and inference optimization is like production line scheduling. These tasks may sound tedious, but they determine whether a company can turn a profit. Algorithmic innovation matters, but stability, low consumption, and high output are the true moats. The internet model thrives on storytelling and grabbing attention; LLMs thrive on efficiency and craftsmanship.\nAnd then there\u0026rsquo;s profitability. The internet relies on traffic, advertising, long-tail effects, and network effects—often virtual miracles of scale. LLMs are different; they depend on computing power, data, and the accumulation of engineering systems. No matter how clever your approach, if the industrial process isn\u0026rsquo;t streamlined, profitability slips through your fingers like sand. That\u0026rsquo;s why, in the LLM industry, some companies appear technologically advanced but struggle with consistent profitability.\nThe real turning point is moving from \u0026ldquo;building models\u0026rdquo; to \u0026ldquo;building systems.\u0026rdquo; When a model is no longer a precision machine for one-off training but a sustainable, reusable, and scalable system, marginal costs can be controlled, and economies of scale begin to emerge. At that point, LLM companies truly resemble manufacturing—not making money through stories, but through efficiency and process. Algorithms, data, computing power, and engineering teams are all like parts and procedures, indispensable.\nSo, LLMs are not an extension of the internet; they are more like the next chapter of industrial civilization. On the surface, it\u0026rsquo;s an intelligence revolution; in essence, it\u0026rsquo;s a manufacturing upgrade. Those who love telling investment stories may get excited, but the ones who truly make money are always those who know how to \u0026ldquo;run the industrial process smoothly.\u0026rdquo;\n","date":"2025-10-19","description":"Recently, I chatted with a few friends working in AI, and they all laughed, saying, 'You think we're in the internet business, but it's more like running a factory.'","permalink":"https://www.kingdeguo.com/en/2025/10/19/the-profit-model-of-large-language-models-resembles-traditional-manufacturing/","tags":["Large Language Models","AI","Manufacturing","Business Model","Tech Insights"],"title":"The Profit Model of Large Language Models Resembles Traditional Manufacturing"},{"categories":["Personal Growth"],"content":"The Days of Going It Alone In my early years, I always believed that making myself better was the master key to everything. I tried time management, energy allocation, and task prioritization one by one, even cobbling together my own set of custom tools and workflows, attempting to squeeze the utmost out of every minute. During those days, checklists and plans became my alter ego, and efficiency and a sense of accomplishment convinced me that as long as I relied on myself, everything was under control.\nBut when I led a team for the first time, this habit of going it alone immediately ran into trouble. The meticulously crafted plans that had worked for me in the past often fell apart entirely in a team setting. Everyone has a different pace and different cognitive frameworks, and even the smallest communication error can trigger a chain reaction. I, who once thought I had everything in hand, suddenly realized that true complexity lies not in the tasks themselves, but in the interactions and coordination between people.\nWhen I first started leading a team, I assumed that as long as I was diligent and meticulous enough, things would run smoothly. But reality quickly dealt me a harsh blow: everyone\u0026rsquo;s rhythm is different, and their ways of thinking vary. Some people work slowly and deliberately, while others prefer to act quickly. A slight misunderstanding can be amplified into a ripple across the entire workflow. I came to see that personal ability was no longer the universal solution here; the \u0026ldquo;efficiency weapons\u0026rdquo; that worked so well for me often seemed clumsy in a team context. To make things run smoothly, it wasn\u0026rsquo;t about one person working frantically, but about learning to read others\u0026rsquo; rhythms, understand different perspectives, and find points of resonance.\nIn a team, problems often don\u0026rsquo;t stem from someone making a mistake, but from gaps in the collaboration chain. Differences in information flow, responsibility boundaries, and expectations—these factors erode efficiency and easily breed friction. I gradually understood that personal excellence is just the foundation; the real challenge lies in coordination, guidance, and building a shared language. The essence of multi-person collaboration isn\u0026rsquo;t turning everyone into a version of \u0026ldquo;me,\u0026rdquo; but enabling people with different rhythms and abilities to generate synergy toward a common goal.\nSo, how do you cultivate this ability? First, recognize differences: understand each person\u0026rsquo;s work rhythm, cognitive style, and emotional traits. Second, establish transparent mechanisms: clarify responsibilities, set communication norms, and create feedback loops. Finally, adjust your mindset: accept imperfect collaboration while maintaining the drive for results. Team capability isn\u0026rsquo;t innate; it\u0026rsquo;s the product of continuous trial, error, and refinement in practice.\nLooking back, the days of going it alone taught me independent thinking and self-motivation. But the experience of leading a team showed me that growth isn\u0026rsquo;t about becoming all-powerful—it\u0026rsquo;s about staying clear-headed amid complex interactions. True ability lies not just in completing tasks, but in seeing others clearly, seeing the system clearly, and understanding your own place within it. Perhaps each of us must go through the journey from \u0026ldquo;I can do it\u0026rdquo; to \u0026ldquo;we can make it happen\u0026rdquo;—a process that shapes your life and perspective far more than any single achievement.\n","date":"2025-10-18","description":"In my early years, I always believed that making myself better was the master key to everything. I tried time management, energy allocation, and task prioritization one by one, even cobbling together my own set of custom tools and workflows, attempting to squeeze the utmost out of every minute.","permalink":"https://www.kingdeguo.com/en/2025/10/18/the-days-of-going-it-alone/","tags":["Team Collaboration","Personal Growth","Leadership","Work Methods"],"title":"The Days of Going It Alone"},{"categories":["Personal Growth"],"content":"Trust, Expectations, Promises, and Follow-Through Most disappointments between people don\u0026rsquo;t happen all at once. They accumulate slowly—starting from the very first promise that wasn\u0026rsquo;t kept. You said you\u0026rsquo;d change, you\u0026rsquo;d show up, you\u0026rsquo;d reply, you\u0026rsquo;d do it together\u0026hellip; and then it all faded into a sentence with no ending. Others may say \u0026ldquo;it\u0026rsquo;s fine,\u0026rdquo; but deep down, they\u0026rsquo;re keeping score—\u0026ldquo;Oh, I can\u0026rsquo;t count on you for this anymore.\u0026rdquo; That\u0026rsquo;s how trust breaks. Not shattered in one blow, but worn down little by little.\nSometimes we romanticize \u0026ldquo;trust.\u0026rdquo; We assume that sincerity alone should be enough for others to understand us. We believe that a promise alone can hold a relationship together. But the truth is: sincerity is a wish, while follow-through is a capability. The bond between people is never sustained by emotions alone—it\u0026rsquo;s sustained by predictable behavior. Feelings can ignite in an instant, but trust can only be built drop by drop.\nExpectations are the breeding ground for trust. How you expect others to behave often reveals how you wish to be treated yourself. So when expectations fall through, what gets hurt isn\u0026rsquo;t just trust—it\u0026rsquo;s the quiet disappointment of realizing, \u0026ldquo;We\u0026rsquo;re not the same after all.\u0026rdquo; Most misunderstandings stem from this: you play your hand based on feelings, the other person plays theirs based on reality, and both sides end up thinking the other just \u0026ldquo;doesn\u0026rsquo;t get it.\u0026rdquo;\nPromises are one of the most contradictory parts of human nature. We all want to keep them, but life often makes it impossible to deliver fully. Sometimes it\u0026rsquo;s not about unwillingness—it\u0026rsquo;s that reality has worn down the version of ourselves who made that promise. When we\u0026rsquo;re young, we speak freely because the future feels limitless. As we grow older, we hesitate before speaking because we understand: every \u0026ldquo;I will\u0026rdquo; comes at a cost someone has to pay.\nBut follow-through remains one of the most valuable qualities a person can have. It\u0026rsquo;s not about pleasing others—it\u0026rsquo;s about integrating yourself. What you deliver isn\u0026rsquo;t just a task; it\u0026rsquo;s a commitment you made to yourself. Saying what you\u0026rsquo;ll do and doing what you say may seem trivial, but those who sustain this over time have inner order and a steady hand. People trust them not because they talk a lot, but because their actions are reliable.\nAt its core, trust is simply this: \u0026ldquo;I know you won\u0026rsquo;t let me down.\u0026rdquo; That sense of stability is worth more than any sweet words. The more a person follows through, the more others are willing to entrust them with. Trust is not a byproduct of affection—it\u0026rsquo;s the reward for reliability.\nOver time, I\u0026rsquo;ve come to realize that maturity is less about \u0026ldquo;wanting to be understood\u0026rdquo; and more about \u0026ldquo;striving to follow through.\u0026rdquo; You stop rushing to make promises. You stop expecting others to automatically get you. You simply and quietly finish what you said you\u0026rsquo;d do, letting life\u0026rsquo;s rhythm realign itself.\nTrust, expectations, promises, and follow-through—four words that trace the arc of a life:\nTrust starts a relationship. Expectations give it hope. Promises bring people closer. And follow-through makes everything real.\nThe gentlest understanding between people isn\u0026rsquo;t \u0026ldquo;I trust you.\u0026rdquo; It\u0026rsquo;s—\u0026ldquo;I know you won\u0026rsquo;t let me down.\u0026rdquo;\n","date":"2025-10-17","description":"Most disappointments between people don't happen all at once. They accumulate slowly—starting from the very first promise that wasn't kept.","permalink":"https://www.kingdeguo.com/en/2025/10/17/trust-expectations-promises-and-follow-through/","tags":["Trust","Relationships","Commitment","Maturity"],"title":"Trust, Expectations, Promises, and Follow-Through"},{"categories":["Workplace Insights"],"content":"Those Who Shift Blame Get Promoted; Those Who Do the Work Take the Fall Understanding the unity of power and responsibility through the lens of credit theft.\nIn the workplace, nothing raises your blood pressure more than overtime or meetings—it\u0026rsquo;s that moment when your hard work ends up credited to someone else\u0026rsquo;s name.\nYou\u0026rsquo;re burning the midnight oil refining a proposal, while someone else is waiting to grab the mic. You write a ten-page report, and they sum it up in one sentence: \u0026ldquo;The team worked hard on this.\u0026rdquo; You smile and say, \u0026ldquo;It\u0026rsquo;s nothing,\u0026rdquo; but inside you\u0026rsquo;re thinking: It wasn\u0026rsquo;t \u0026ldquo;the team\u0026rdquo; that worked hard—it was me, and I\u0026rsquo;m going bald from the stress.\nMany people console themselves: \u0026ldquo;Oh well, I\u0026rsquo;m just an employee.\u0026rdquo; But this isn\u0026rsquo;t a mindset issue—it\u0026rsquo;s a structural one. Why does credit always get stolen? Simply put, because \u0026ldquo;power\u0026rdquo; and \u0026ldquo;responsibility\u0026rdquo; aren\u0026rsquo;t tied together. Those who do the work have no decision-making authority, and those who make the decisions don\u0026rsquo;t bear the consequences. So responsibility cascades downward, while credit floats upward. You do the work, they take the spotlight—it\u0026rsquo;s a workplace physics miracle: energy is conserved, and credit rises.\nWhat\u0026rsquo;s worse is that this logic can be packaged as \u0026ldquo;reasonable.\u0026rdquo; Management says, \u0026ldquo;We\u0026rsquo;re all one team,\u0026rdquo; but when something goes wrong, it quickly becomes, \u0026ldquo;We need to hold someone personally accountable.\u0026rdquo; Credit is collectivized upward, blame is individualized downward. Over time, everyone learns the game: say less, observe more, because credit-grabbers never stop, and someone always has to take the fall.\nThis isn\u0026rsquo;t a problem unique to any one company—it\u0026rsquo;s a common organizational disease: the disconnect between power and responsibility leads to a depletion of trust. No one likes stealing credit, but an unconstrained environment forces people to do it. In systems where resources are scarce and information is opaque, \u0026ldquo;grabbing\u0026rdquo; becomes a survival tactic. As a result, truly capable people gradually learn to \u0026ldquo;keep a low profile,\u0026rdquo; while the savvy ones understand that \u0026ldquo;keeping the boss happy is more important than getting the job done.\u0026rdquo; See? That\u0026rsquo;s not work—that\u0026rsquo;s a palace drama.\nBreaking this cycle requires more than moral preaching. It requires systems. For example, when a project is initiated, clearly define \u0026ldquo;who decides, who executes, and who is accountable for the outcome.\u0026rdquo; During retrospectives, don\u0026rsquo;t just talk about wins and losses—trace the chain of facts: who made the key suggestion, who drove the turning point. Stop holding meetings where everyone says, \u0026ldquo;Great work, everyone,\u0026rdquo; because the word \u0026ldquo;everyone\u0026rdquo; is the easiest way to blur credit. If you want to praise someone, name them. If you want to reward someone, deliver. Once the channel for credit to rise is transparent, the urge to grab it naturally diminishes.\nOf course, don\u0026rsquo;t swing to the extreme of a rigid \u0026ldquo;whoever does what takes the blame\u0026rdquo; system. A truly mature team ensures that power and responsibility are proportional—those with decision-making authority bear the corresponding consequences, and those who do the work are seen and receive tangible rewards. Only when \u0026ldquo;the doers\u0026rdquo; know their efforts won\u0026rsquo;t be wasted, and \u0026ldquo;the deciders\u0026rdquo; know their choices carry weight, can an organization enter a virtuous cycle.\nYou see, behind stolen credit isn\u0026rsquo;t necessarily bad people—it\u0026rsquo;s a lazy system. Everyone is just trying to survive within a set of vague mechanisms, turning cleverness into self-defense and trust into a joke.\nBut when an organization can achieve this—where those who do the work have a say, and those who make decisions are held accountable—then praise doesn\u0026rsquo;t need to be written in an email to be etched into people\u0026rsquo;s hearts.\nAfter all, the rarest thing in the workplace isn\u0026rsquo;t grabbing credit—it\u0026rsquo;s having your efforts seen, fairly and squarely.\n","date":"2025-10-16","description":"Understanding the unity of power and responsibility through the lens of credit theft. In the workplace, nothing raises your blood pressure more than overtime or meetings—it's that moment when your hard work ends up credited to someone else's name.","permalink":"https://www.kingdeguo.com/en/2025/10/16/those-who-shift-blame-get-promoted-those-who-do-the-work-take-the-fall/","tags":["Workplace Culture","Power-Responsibility Dynamics","Organizational Management","Office Politics"],"title":"Those Who Shift Blame Get Promoted; Those Who Do the Work Take the Fall"},{"categories":["Workplace Insights"],"content":"Under the Banner of Flexibility, Cutting Costs Is the Real Goal Bosses love it, employees resent it, policies are vague, and platforms abuse it.\nIn just a few words, the awkwardness of \u0026ldquo;flexible employment\u0026rdquo; is laid bare.\nThis employment model, once hailed as a game-changer, was supposed to make organizations more efficient and individuals freer. Instead, it has become a term steeped in resentment. When people hear \u0026ldquo;flexible,\u0026rdquo; they no longer think of freedom—they think of insecurity. When they hear \u0026ldquo;employment,\u0026rdquo; they don\u0026rsquo;t think of collaboration—they think of price-cutting. Flexible employment was meant to break down constraints, but it has ended up becoming a new kind of shackle.\nTo understand this phenomenon, we need to go back to the original intent of flexible employment. It was first designed to address the need for workforce elasticity—think e-commerce sales spikes, project-based tasks, short-term outsourcing. Companies needed temporary support, and workers wanted more options. It sounded like a win-win. But then, some companies discovered that this model allowed them to bypass social insurance, reduce labor costs, and terminate contracts at will without bearing any risk. So the original \u0026ldquo;flexibility\u0026rdquo; was twisted into a \u0026ldquo;cheap, legal substitute.\u0026rdquo;\nThus, what employees resent isn\u0026rsquo;t \u0026ldquo;flexibility\u0026rdquo; itself, but the lack of agency. It\u0026rsquo;s called a partnership on paper, but in practice, it\u0026rsquo;s unilateral decision-making. The contract promises freedom, but execution feels like a binding trap. The deeper issue is that people are treated as \u0026ldquo;cost units\u0026rdquo; rather than \u0026ldquo;creators.\u0026rdquo; Flexible employment has been ruined not because the model is flawed, but because the underlying values are wrong—companies chase \u0026ldquo;savings,\u0026rdquo; not \u0026ldquo;mutual benefit\u0026rdquo;; systems prioritize \u0026ldquo;efficiency\u0026rdquo; while neglecting \u0026ldquo;security.\u0026rdquo;\nFrom a human perspective, the so-called \u0026ldquo;resentment\u0026rdquo; is really a yearning for security. What people need isn\u0026rsquo;t just income, but also certainty, belonging, and a path for growth. Flexible employment weakens these \u0026ldquo;signals of stability,\u0026rdquo; turning individuals into interchangeable nodes. Freelancing may seem autonomous, but in reality, it often leaves people adrift. You don\u0026rsquo;t belong to any organization, and no organization protects you—this is the greatest tension in modern labor relations.\nFrom an institutional standpoint, the core problem with the chaos in flexible employment is \u0026ldquo;lagging laws plus platform abuse.\u0026rdquo; Traditional labor law is built around \u0026ldquo;employment relationships,\u0026rdquo; but flexible employment often operates as a \u0026ldquo;cooperative relationship,\u0026rdquo; blurring the lines of responsibility. Platforms enjoy the benefits of labor without bearing the costs of social insurance or risk. Workers who try to assert their rights find no clear entity to hold accountable. Governments are gradually patching the gaps—introducing measures like \u0026ldquo;individual worker social insurance trusteeship,\u0026rdquo; \u0026ldquo;project-based tax filing,\u0026rdquo; and \u0026ldquo;flexible employment security plans\u0026rdquo;—but the pace of implementation still lags behind the gray-area maneuvers in practice.\nSo the problem isn\u0026rsquo;t \u0026ldquo;flexibility,\u0026rdquo; but \u0026ldquo;imbalance.\u0026rdquo; True flexibility means mutual choice; the current version is one-sided price-cutting. Flexible employment is oversupplied because there are too many individuals chasing too few positions. Companies can pick and choose, but individuals have no alternatives. Once the market tilts, \u0026ldquo;flexibility\u0026rdquo; becomes a \u0026ldquo;cheap excuse.\u0026rdquo;\nBut we shouldn\u0026rsquo;t dismiss the value of flexible employment entirely. It has indeed opened up possibilities for \u0026ldquo;second incomes\u0026rdquo; and driven efficiency in outsourcing and talent mobility. The issue is that we must set a \u0026ldquo;baseline\u0026rdquo;: ensuring that short-term workers have access to social insurance, compliant channels, and risk protection. For companies, it\u0026rsquo;s time to abandon the \u0026ldquo;use and discard\u0026rdquo; mindset and treat flexible employment as part of a \u0026ldquo;partner ecosystem,\u0026rdquo; not a \u0026ldquo;cost-cutting tool.\u0026rdquo;\nSomeone once said something that stuck with me: \u0026ldquo;Flexible employment isn\u0026rsquo;t freedom—it\u0026rsquo;s rootlessness in motion.\u0026rdquo; That stings, but it\u0026rsquo;s true. Real freedom comes from choices that are respected, not from passive drifting. If flexible employment can\u0026rsquo;t help people live with dignity, it will eventually be rejected by human nature.\nFlexibility should make people feel at ease, not on edge.\nFlexible employment isn\u0026rsquo;t wrong—it\u0026rsquo;s been used wrong.\n","date":"2025-10-15","description":"Bosses love it, employees resent it, policies are vague, and platforms abuse it. In just a few words, the awkwardness of 'flexible employment' is laid bare.","permalink":"https://www.kingdeguo.com/en/2025/10/15/under-the-banner-of-flexibility-cutting-costs-is-the-real-goal/","tags":["flexible employment","labor relations","corporate management","workplace culture"],"title":"Under the Banner of Flexibility, Cutting Costs Is the Real Goal"},{"categories":["Management Practice"],"content":"I Feel Like a Middleman, Just Executing What Others Decide — The Power of People, Budget, and Business Decisions I\u0026rsquo;ve seen too many busy managers whose schedules are packed from morning to night. They appear to be in control of everything, yet the number of decisions they can truly make is surprisingly small. Every day, they coordinate resources, track projects, and deliver reports. It looks like they\u0026rsquo;re \u0026ldquo;in charge,\u0026rdquo; but in reality, they\u0026rsquo;re just \u0026ldquo;executing.\u0026rdquo; A friend once sighed and said, \u0026ldquo;I feel like a middleman, just executing what others decide.\u0026rdquo; That moment made me realize that many people think they\u0026rsquo;re in control of their work, when in fact, the work has long been controlling them. True power doesn\u0026rsquo;t lie in your job title — it lies in three things: personnel authority, financial authority, and business decision-making authority.\nPersonnel authority is where a manager\u0026rsquo;s journey begins. Whether you can build your own team determines whether you can truly lead that team into battle. Many people claim to be leading a team, but in reality, they\u0026rsquo;re passively \u0026ldquo;receiving a team.\u0026rdquo; Without personnel authority, so-called management is just about pacifying and maintaining stability, not about driving growth. Great leaders spend the most time selecting people, because they know that who is on the field often matters more than how they play. Without personnel authority, you\u0026rsquo;re like an eagle with clipped wings — full of ambition, but unable to soar.\nFinancial authority is the core of resource allocation. A department\u0026rsquo;s standing isn\u0026rsquo;t measured by headcount or the number of projects, but by whether its budget gets approved. Strategy often fails not because the direction is wrong, but because the money doesn\u0026rsquo;t follow. Without resources in place, even the best ideas are just castles in the air. Those who can influence the flow of funds may not be the boss, but they can certainly change the game. Without financial authority, you\u0026rsquo;re confined to a limited space, and no amount of effort will yield results. Those who truly understand financial authority channel resources to where they create the most value — this is not just an exercise of power, but a reflection of strategic vision.\nBusiness decision-making authority is the one that best reflects trust. What pains many people most isn\u0026rsquo;t being overruled, but \u0026ldquo;knowing the business yet having no say in decisions.\u0026rdquo; A single \u0026ldquo;let\u0026rsquo;s revisit this\u0026rdquo; can wipe out months of effort. Whether you can make decisions determines your influence within the organization. Business authority isn\u0026rsquo;t about what you can do — it\u0026rsquo;s about what you can decide. It is recognition of your capability and, more importantly, a symbol of organizational trust. Even without a formal title, if people are willing to listen to your judgment and follow your decisions, that is true business authority.\nThese three types of power form the basic structure of any organization. They both check and balance each other, and depend on one another. At different stages, companies allocate these powers differently. In the startup phase, power is centralized — the founder has the final say. In the growth phase, power needs to be decentralized, supported by systems. In the mature phase, collaboration is key — power flows, and mechanisms become stable. Too much centralization stifles creativity; too much decentralization slows down efficiency. Good management maintains flow within clear boundaries and preserves unity amid decentralized collaboration. The essence of power has never been about control — it\u0026rsquo;s about making the right things easier to happen.\nThat friend later left the company. He said something that stuck with me: \u0026ldquo;I\u0026rsquo;m not afraid of lacking resources. I\u0026rsquo;m afraid that no matter how much I do, I can\u0026rsquo;t change a single decision.\u0026rdquo; Harsh, but true. When responsibility and authority are mismatched, effort becomes exhaustion. In the end, the workplace isn\u0026rsquo;t about who works harder — it\u0026rsquo;s about who can wield the levers. Personnel authority determines who you can lead, financial authority determines what you can mobilize, and business authority determines what you can decide. Those who can truly balance all three not only get things done, but also help others grow alongside them.\nTrue power isn\u0026rsquo;t about making others obey — it\u0026rsquo;s about helping the organization avoid unnecessary detours. It\u0026rsquo;s not just about the height of your position, but the depth of your thinking and the substance of your actions. Those who understand the balance of these three powers can maximize an organization\u0026rsquo;s energy and maintain genuine influence in their careers. The meaning of power has never been about showing off — it\u0026rsquo;s about getting things done, developing people, and leaving a mark.\n","date":"2025-10-14","description":"Exploring how true power lies not in job titles but in the balance of three things: personnel authority, financial authority, and business decision-making authority","permalink":"https://www.kingdeguo.com/en/2025/10/14/i-feel-like-a-middleman-just-executing-what-others-decide-the-power-of-people-budget-and-business-decisions/","tags":["Power Dynamics","Team Management","Business Management","Decision-Making","Middle Management","Organizational Management","Leadership","Management Tools","Performance Management","Data Analysis"],"title":"I Feel Like a Middleman, Just Executing What Others Decide — The Power of People, Budget, and Business Decisions"},{"categories":["Thinking Methods"],"content":"The analysis of a problem must be thorough.\nI used to think it was just carelessness. Back in school, I miscalculated a digit while multiplying two numbers—a perfectly ordinary math problem. I told myself I\u0026rsquo;d pay more attention next time, no need to dwell on it. A few days later, when I revisited the same problem, I was stunned to find myself making the exact same mistake, down to the same final digit. In that moment, I froze—it dawned on me that \u0026ldquo;carelessness\u0026rdquo; wasn\u0026rsquo;t a fluke, but a fixed mental trajectory quietly running in my brain. When that familiar error surfaced again, I even felt a chill. That was the first time I realized: mistakes can become entrenched.\nFrom then on, I began to doubt the phrase \u0026ldquo;I won\u0026rsquo;t make that mistake again.\u0026rdquo; We often remember the outcome but overlook the cause. Many times, what we call \u0026ldquo;recording lessons learned\u0026rdquo; is really just glossing over our errors. We slap a sticky note on the surface of a mistake without digging into the logic behind it. So when a similar situation arises again, the brain follows the old path and reenacts the familiar script. We think we\u0026rsquo;re improving, but we\u0026rsquo;re really just repeating.\nThis phenomenon isn\u0026rsquo;t limited to learning. It happens at work too. A project goes wrong, and we say, \u0026ldquo;Next time, we\u0026rsquo;ll communicate earlier.\u0026rdquo; A miscommunication occurs, and we say, \u0026ldquo;Next time, I\u0026rsquo;ll be more careful with my wording.\u0026rdquo; But if we never uncover the real root cause, \u0026ldquo;next time\u0026rdquo; often just means \u0026ldquo;making the same mistake in a different way.\u0026rdquo; The key to avoiding repeated errors isn\u0026rsquo;t reminding ourselves—it\u0026rsquo;s understanding ourselves. To truly grow, we need to figure out: how exactly did I go wrong?\nLife is not a test. Mistakes don\u0026rsquo;t automatically disappear just because you \u0026ldquo;do it a few more times.\u0026rdquo; Learning relies on memory, but growth relies on deconstruction. Only by dissecting the problem and reconstructing the flawed thought process can we truly move past it. Otherwise, the path that seems like progress is just walking in circles.\nThorough problem analysis isn\u0026rsquo;t about nitpicking—it\u0026rsquo;s about recalibrating your mental models. Too often, we stop halfway through our analysis because we find a \u0026ldquo;plausible\u0026rdquo; explanation and mistake it for the truth. But a genuine retrospective requires asking ourselves: Why did I make that judgment at the time? What did I overlook? What role did my habits, assumptions, and emotions play? Only when we trace these underlying logics does reflection begin to carry real weight. See also: Reflections on Retrospectives: Retrospectives and the Chain of Thought\n\u0026ldquo;Seeking truth from facts\u0026rdquo; has never been just a slogan. It demands the courage to face the version of ourselves that didn\u0026rsquo;t think things through. What looks like a new problem is often just a variation of an old mindset. Only when we dig out the root cause can we prevent mistakes from resurfacing in new forms. Life is not a test. But if you don\u0026rsquo;t want to keep making the same mistakes, you have to learn—to rewrite your own mental formula.\n","date":"2025-10-13","description":"Exploring the phenomenon of error fixation and the reconstruction of mental models, emphasizing the importance of thorough problem analysis","permalink":"https://www.kingdeguo.com/en/2025/10/13/life-is-not-a-test-mistakes-dont-correct-themselves/","tags":["Error Analysis","Mental Models","Retrospective","Growth","Problem Solving","Cognition","Learning Methods","Decision Making","Systems Thinking"],"title":"Life Is Not a Test: Mistakes Don't Correct Themselves"},{"categories":["Management Practice"],"content":"There was a company where the CEO worked relentlessly. He personally oversaw marketing campaigns, revised proposals himself, and even attended client meetings. When the VP suggested holding a meeting, he said, \u0026ldquo;No need—I\u0026rsquo;ll go negotiate directly.\u0026rdquo; By the time the project was rolled out, the entire department was baffled—no one could say who had made the decisions, and no one knew who was responsible for what.\nOn the surface, the CEO seemed incredibly diligent. But in reality, the entire company was slowing down. This looks like \u0026ldquo;hard work,\u0026rdquo; but it\u0026rsquo;s actually a collapse of professional boundaries.\nThe biggest risk for an organization isn\u0026rsquo;t that no one is working—it\u0026rsquo;s that someone keeps doing other people\u0026rsquo;s jobs. The VP never gets a chance to take responsibility, middle managers never learn to make decisions, and subordinates simply wait for instructions. In the end, the CEO becomes a \u0026ldquo;super-executor,\u0026rdquo; and the company resembles a unicycle pulling a carriage—all the force rests on one person. The moment he stops, the whole thing grinds to a halt.\nBut let\u0026rsquo;s be fair: this isn\u0026rsquo;t malicious behavior. Most bosses don\u0026rsquo;t intend to overstep. They do it out of fear—fear of mistakes, fear of delays, fear of incompetence—or even because \u0026ldquo;I used to do this myself, I know it best.\u0026rdquo; Yet this is precisely path dependency at work: the more familiar you are with a task, the easier it is to retreat to your comfort zone instead of standing where you\u0026rsquo;re truly needed.\nWhat a CEO should really be doing is not micromanaging every detail, but clearly defining \u0026ldquo;who is responsible for what.\u0026rdquo; What a VP should be doing is making their domain deliverable and trustworthy. What middle managers should be doing is solving problems within the system—not tossing them upward the moment they arise, or stepping back the moment the boss gets involved.\nIn short, \u0026ldquo;role misalignment\u0026rdquo; is the biggest source of internal friction in any company. When a CEO takes over a VP\u0026rsquo;s work, it may look like \u0026ldquo;firefighting,\u0026rdquo; but it actually disrupts the rhythm of role-based accountability. It\u0026rsquo;s like a soccer coach running onto the field to take a penalty kick—it might win one game in the short term, but it will lose the entire season in the long run. Because the players will never learn how to play.\nIf you truly want your organization to run smoothly, you have to learn to \u0026ldquo;trust and let go.\u0026rdquo; This doesn\u0026rsquo;t mean acting aloof—it means systematically designing a trust mechanism:\nClear boundaries, effective reporting, and timely feedback. Leaders need to see progress, but not grab the steering wheel. Teams need to take ownership, rather than waiting for the boss to bail them out.\nThe true mark of a mature company isn\u0026rsquo;t a boss who spins like a top—it\u0026rsquo;s a boss who has time to think and a team that has room to grow. The best management is a system that runs itself, not one that depends on you constantly stepping on the gas.\nSo when a CEO takes over the VP\u0026rsquo;s job, it may seem responsible—but in fact, it\u0026rsquo;s a \u0026ldquo;sense of responsibility\u0026rdquo; that harms the organization. A great leader isn\u0026rsquo;t a hands-on hero, but someone who can turn others into heroes. That\u0026rsquo;s the real logic behind a company that can go the distance.\n","date":"2025-10-12","description":"Exploring role misalignment in organizations and why leaders should learn to let go rather than micromanage","permalink":"https://www.kingdeguo.com/en/2025/10/12/when-the-ceo-does-the-vps-job/","tags":["Organizational Management","Role Positioning","Leadership","Responsibility Boundaries","Business Management","Management Tools","Performance Management","Data Analysis"],"title":"When the CEO Does the VP's Job"},{"categories":["Thinking Methods"],"content":"The Cost of Explaining vs. the Cost of Verifying Sometimes, explaining isn\u0026rsquo;t the hard part—it\u0026rsquo;s who you\u0026rsquo;re explaining to. Once you enter the context of \u0026ldquo;explaining,\u0026rdquo; the mindsets on both sides shift: the explainer is patching holes, while the listener is looking for them. That\u0026rsquo;s the cost of explaining—it\u0026rsquo;s not just an investment of time and logic, but a psychological drain. The more you explain, the guiltier you appear; the more the listener listens, the more they suspect something is wrong. In this way, explaining becomes a losing game from the start.\nVerifying is different. It may also consume time and energy, but its underlying emotion is proactive, self-respecting, and even carries a quiet pride. You\u0026rsquo;re not defending yourself—you\u0026rsquo;re being accountable to the facts. You\u0026rsquo;re not winning over others—you\u0026rsquo;re winning over yourself. Explaining seeks outward; verifying grows inward. The former is anxious, rushed, and reactive; the latter is calm, slow, but powerful.\nSo, the cost of explaining often consumes \u0026ldquo;trust,\u0026rdquo; while the cost of verifying accumulates \u0026ldquo;certainty.\u0026rdquo; Explaining drags you into a social anxiety—\u0026ldquo;I need others to believe me.\u0026rdquo; Verifying brings you back to a rational peace—\u0026ldquo;I know I\u0026rsquo;m not wrong.\u0026rdquo; The flow of psychological energy in these two behaviors is completely opposite: one seeks validation from the outside, the other builds order from within.\nThe problem is that our social discourse favors \u0026ldquo;explaining\u0026rdquo; over \u0026ldquo;verifying.\u0026rdquo; Explaining is faster and more likely to trigger emotional resonance. It gives the audience an immediate stance, while verifying requires waiting, silence, and tolerance for uncertainty. That\u0026rsquo;s why \u0026ldquo;don\u0026rsquo;t fall into the trap of self-justification\u0026rdquo; has become a popular saying—because in an age of information overload, the effort to prove yourself is often mistaken for sophistry, or even ridiculed as \u0026ldquo;too much work.\u0026rdquo;\nBut true wisdom isn\u0026rsquo;t about avoiding explanation or stubbornly insisting on self-justification. It\u0026rsquo;s about knowing when to stop explaining and turn to verifying. When others demand an explanation, you can choose not to argue—but to verify. Let the facts speak for themselves. You don\u0026rsquo;t need applause on every issue, but you do need the truth on the important ones. Explaining seeks understanding; verifying seeks correctness. And over time, the latter often corrects the former.\nThe most expensive cost in this world isn\u0026rsquo;t time or money—it\u0026rsquo;s the moment you mistake \u0026ldquo;explaining\u0026rdquo; for \u0026ldquo;verifying.\u0026rdquo; That\u0026rsquo;s when you\u0026rsquo;ve surrendered your initiative and ceded reason to emotion. Explaining is short-term comfort; verifying is long-term freedom. Truly mature people let facts do the explaining, rather than letting emotions drag them into proving themselves.\n","date":"2025-10-11","description":"Exploring the psychological costs and value differences between explaining and verifying, and how to choose the right approach at the right time","permalink":"https://www.kingdeguo.com/en/2025/10/11/the-cost-of-explaining-vs.-the-cost-of-verifying/","tags":["Communication","Psychological Cost","Verification","Explanation","Mental Models","Problem Solving","Cognition","Learning Methods","Decision Making","Systems Thinking"],"title":"The Cost of Explaining vs. the Cost of Verifying"},{"categories":["Workplace Insights"],"content":"A New Leader\u0026rsquo;s First Moves Are Often Path Dependence on Their Past Self \u0026ldquo;A new leader\u0026rsquo;s first moves\u0026rdquo; has become a near-universal ritual when organizations change leadership. Some people\u0026rsquo;s first instinct upon taking office is to act—restructuring the org chart, adjusting processes, reshuffling personnel. On the surface, this looks like decisiveness and an assertion of authority. But in reality, it\u0026rsquo;s often less about judgment of the future and more about a continuation of the past. Those first moves don\u0026rsquo;t usually burn down the old system; they burn the new leader\u0026rsquo;s own past logic. In other words, it\u0026rsquo;s a form of \u0026ldquo;path dependence\u0026rdquo;—people habitually use familiar approaches to face unfamiliar environments.\nEveryone has a set of problem-solving methods they excel at, and when they move into a new role, they tend to treat their old experience as a master key. For example, a leader with a marketing background might immediately focus on \u0026ldquo;promotion and visibility\u0026rdquo;; one from finance often zeroes in on \u0026ldquo;budgets and controls\u0026rdquo;; someone with a technical background is likely to see \u0026ldquo;problems in processes and efficiency.\u0026rdquo; These actions aren\u0026rsquo;t necessarily wrong—they just make the leader look too much like their former self. A new role gets hijacked by old logic. Those so-called \u0026ldquo;first moves\u0026rdquo; are often just a way to rebuild a sense of control—an extension of one\u0026rsquo;s own comfort zone.\nBut what an organization truly needs isn\u0026rsquo;t those first moves—it\u0026rsquo;s a period of calm observation. A real leader first looks: at the root causes of problems, at the flow of people\u0026rsquo;s sentiments, at what\u0026rsquo;s historical inertia and what\u0026rsquo;s a structural contradiction. Fire lit too quickly may bring temporary order but sows the seeds of greater chaos. The real danger isn\u0026rsquo;t heading in the wrong direction—it\u0026rsquo;s solving unfamiliar problems with familiar methods too early. Such \u0026ldquo;change\u0026rdquo; is, at its core, just an echo of past experience.\nFrom a psychological perspective, those \u0026ldquo;first moves\u0026rdquo; are a ritual. They make the leader feel \u0026ldquo;I\u0026rsquo;ve taken charge,\u0026rdquo; creating a sense of a starting point. The problem is that many people get stuck in the ritual and never begin true understanding. A real leader doesn\u0026rsquo;t rush to perform. Instead, they let the situation cool down a bit, allowing themselves to first find their bearings in the new coordinates. Only when they truly understand the constraints of the environment, the rhythm of the team, and the structure\u0026rsquo;s underlying logic will the fire they light illuminate others, not just themselves.\nTo break path dependence, you first have to see where it comes from. Every promotion is a farewell to your old self. If someone is constantly led by the methods that made them successful in the past, it\u0026rsquo;s hard for them to grow into a bigger version of themselves. Mature leaders know how to delay action, replacing impulse with understanding, and old familiarity with new judgment. When those first moves are no longer a declaration but a deliberate, well-directed ignition, only then does the organization truly enter a new phase.\n","date":"2025-10-10","description":"Exploring the phenomenon of a new leader's 'first moves,' analyzing the psychological mechanisms behind them and better ways to respond","permalink":"https://www.kingdeguo.com/en/2025/10/10/a-new-leaders-first-moves-are-often-path-dependence-on-their-past-self/","tags":["leadership","path dependence","organizational change","psychology","interpersonal relationships","workplace culture","psychological cost","communication","career development","workplace relationships"],"title":"A New Leader's First Moves Are Often Path Dependence on Their Past Self"},{"categories":["Workplace Insights"],"content":"Political Tasks Outside the Government Sometimes, you hear a phrase with almost ceremonial weight in the office: \u0026ldquo;This is a political task.\u0026rdquo; The tone is solemn, the atmosphere heavy—as if the air itself has thickened. But here\u0026rsquo;s the thing: we\u0026rsquo;re not a government agency, nor are we in officialdom. What we\u0026rsquo;re doing is simply pushing projects forward, optimizing operations, or running brand campaigns. Yet once that phrase lands, logic, priorities, and cost-benefit analysis all automatically step aside. Because it\u0026rsquo;s no longer a task—it\u0026rsquo;s a signal war of \u0026ldquo;must be done.\u0026rdquo; At that point, savvy people understand that the game is no longer about the quality of the plan, but about who can read between the lines of what the boss really means.\nIn a corporate setting, a \u0026ldquo;political task\u0026rdquo; isn\u0026rsquo;t politics itself—it\u0026rsquo;s an extension of power. When a boss says this, it often means there\u0026rsquo;s something complicated lurking beneath the surface: maybe senior management needs to save face, external relationships need to be managed, departmental balance must be maintained, or it\u0026rsquo;s simply an exercise in \u0026ldquo;posture management.\u0026rdquo; It\u0026rsquo;s a tool for leaders to project control and reinforce loyalty. When they say \u0026ldquo;political task,\u0026rdquo; what they\u0026rsquo;re really looking for isn\u0026rsquo;t the outcome—it\u0026rsquo;s \u0026ldquo;who listens, who doesn\u0026rsquo;t push back, and who can execute immediately.\u0026rdquo; The power of this phrase lies in its ability to bypass logic and discussion, directly triggering emotions and allegiances.\nFor those on the execution side, this kind of \u0026ldquo;political task outside the government\u0026rdquo; often becomes a tug-of-war between emotion and reason. On one hand, there\u0026rsquo;s professional rationality: the cost is too high, the priority doesn\u0026rsquo;t make sense. On the other hand, there\u0026rsquo;s survival rationality: not executing means you\u0026rsquo;re not playing ball. As a result, many people develop a \u0026ldquo;dual mindset\u0026rdquo;: they appear to carry out the task while quietly hedging their bets; they say \u0026ldquo;I\u0026rsquo;ll get on it right away\u0026rdquo; but in practice do just enough to get by. The organization looks busy on the surface, but underneath, currents are churning. In the end, the results may not be great, but the signal of loyalty has been sent, and the order of power has been preserved.\nFrom another angle, the reason bosses create these \u0026ldquo;political tasks\u0026rdquo; often stems from a sense of insecurity. Misaligned organizational goals, factional infighting, pressure from higher-ups—all of these can drive leaders to use \u0026ldquo;symbolic tasks\u0026rdquo; to steady the ship. It\u0026rsquo;s like a quick organizational止血: in the short term, it can unify direction, project an image, and send a signal. But over time, this management style wears teams down—because people start doing things to \u0026ldquo;show their stance\u0026rdquo; rather than to \u0026ldquo;get results.\u0026rdquo; Trust gets depleted, and culture turns into performance.\nSo what should employees do? Smart people don\u0026rsquo;t push back immediately. Instead, they first assess the situation: this is the language of power, not the language of business. They recognize the symbolic layer of the task—whose signal it is, whose interests are at stake, who is watching. You don\u0026rsquo;t have to accept it wholesale, but you must get the posture right. When executing, leave a trail, maintain a rhythm, and provide feedback. A truly mature professional doesn\u0026rsquo;t stubbornly resist every order, but knows how to \u0026ldquo;go with the logic while following the current,\u0026rdquo; preserving a bit of strategic space within the appearance of compliance.\nA healthy organization shouldn\u0026rsquo;t use the term \u0026ldquo;political task\u0026rdquo; too often. Truly strong teams rely on trust and shared goals, not on commands to maintain order. For individuals, understanding these unwritten rules isn\u0026rsquo;t about becoming slick—it\u0026rsquo;s about learning to stay grounded in a complex reality. When you grasp the underlying logic of \u0026ldquo;political tasks outside the government,\u0026rdquo; you won\u0026rsquo;t be swept away by emotions. Instead, you can use them to see people clearly, see the situation clearly, and see yourself clearly.\n","date":"2025-10-09","description":"Exploring the nature, impact, and coping strategies of 'political tasks' in corporate settings","permalink":"https://www.kingdeguo.com/en/2025/10/09/political-tasks-outside-the-government/","tags":["Workplace Politics","Corporate Management","Power Dynamics","Organizational Culture","Interpersonal Relationships","Workplace Culture","Psychological Cost","Communication","Career Development","Workplace Relationships"],"title":"Political Tasks Outside the Government"},{"categories":["Team Collaboration"],"content":"Discussing Too Many Problems at Once Only Presents Problems, Not Solves Them In many meetings, we often see this scenario: a whiteboard filled with agenda items, everyone taking turns speaking, each person seemingly engaged in active thinking. But when the meeting ends, the room suddenly falls silent—not a single problem has been solved. Everyone disperses, left with only a vague impression: \u0026ldquo;We discussed a lot today, but nothing got done.\u0026rdquo; This kind of meeting is a classic example of the \u0026ldquo;information dense, decision scarce\u0026rdquo; trap. Discussing too many problems at once ultimately only presents problems, without solving them.\nDiscussions themselves have two natures: exploratory and decision-oriented. Exploratory discussions are good for opening up thinking and helping people see the contours of a problem. Decision-oriented discussions, on the other hand, require focus, trade-offs, and convergence. When we try to accomplish both tasks at the same time, these two modes of thinking clash. Each problem is like a fork in the road—when a team frequently switches focus, it\u0026rsquo;s like taking only a few steps down each path without ever reaching the end of any one. As a result, problems multiply, and the path to a solution becomes increasingly blurred.\nI once witnessed a typical example: a company held a \u0026ldquo;full-process optimization meeting\u0026rdquo; to improve customer satisfaction. During the meeting, sales talked about customer expectations, product highlighted feature gaps, customer service pointed out process complexity, and operations mentioned low conversion rates. Everyone\u0026rsquo;s points were valid, but the result was—not a single problem was solved. Because everyone was simultaneously discussing \u0026ldquo;phenomena,\u0026rdquo; \u0026ldquo;causes,\u0026rdquo; and \u0026ldquo;solutions,\u0026rdquo; each agenda item felt like an unfinished equation: too many variables, with conclusions that could never converge. Later, they changed their approach: each meeting focused on just one problem, such as \u0026ldquo;optimizing the registration process\u0026rdquo; or \u0026ldquo;reducing the cancellation rate.\u0026rdquo; The results were surprising—while the number of problems discussed decreased, the efficiency of solving them multiplied.\nIn reality, a team\u0026rsquo;s cognitive bandwidth is limited. The more complex an organization, the easier it is to mistakenly equate \u0026ldquo;broad coverage\u0026rdquo; with \u0026ldquo;comprehensive thinking.\u0026rdquo; But true systems thinking is not about \u0026ldquo;discussing everything\u0026rdquo;—it\u0026rsquo;s about clearly defining the boundaries of discussion. Only by breaking problems down small enough, discussing them deeply enough, and executing them quickly enough can a team achieve real progress. Otherwise, they fall into a cycle where \u0026ldquo;problems seem clear, but actions remain vague.\u0026rdquo;\nA mature team will eventually learn this iron rule: less is more, and focus is power. A good discussion isn\u0026rsquo;t measured by the volume of voices, but by the depth of focus; not by the comprehensiveness of problems covered, but by the executability of actions. When an organization moves from \u0026ldquo;presenting problems\u0026rdquo; to \u0026ldquo;solving problems,\u0026rdquo; that is the moment it truly transitions from being \u0026ldquo;busy\u0026rdquo; to being \u0026ldquo;effective.\u0026rdquo;\n","date":"2025-10-08","description":"Exploring how the key to effective meetings and discussions lies in focus, avoiding the trap of information density and decision scarcity","permalink":"https://www.kingdeguo.com/en/2025/10/08/discussing-too-many-problems-at-once-only-presents-problems-not-solves-them/","tags":["Meeting Efficiency","Team Discussion","Problem Solving","Focused Thinking","Communication","Team Collaboration","Work Methods","Efficiency","Psychological Safety","Conflict Management"],"title":"Discussing Too Many Problems at Once Only Presents Problems, Not Solves Them"},{"categories":["Team Collaboration"],"content":"Leading Teams with a Public and Private Domain Mindset Anyone in operations knows that users come from two worlds: the public domain and the private domain. The public domain is a traffic arena—open, competitive, and won through exposure and conversion. The private domain is a trust ecosystem—cultivated, connected, and retained through relationships and experience. Businesses acquire customers in the public domain and nurture them in the private domain. Behind this lies a fundamental truth about human nature: capture attention in unfamiliar settings, and build trust through familiarity.\nLeading a team follows the same logic. Many leaders only know how to lead in a \u0026ldquo;public domain\u0026rdquo; style—emphasizing processes, systems, and standards, with everything open and transparent, yet overlooking the warmth of human connection. Others lean exclusively toward the \u0026ldquo;private domain\u0026rdquo; approach—focusing on emotions and trust, but blurring goals and boundaries. The best leaders are those who can flexibly shift between the two: the public domain gives the team direction, while the private domain gives the team a sense of support.\nLeading in the public domain is like standing center stage—every decision you make is magnified. You need the team to see clarity in the rules, stability in the rhythm, and fairness in the standards. This creates a reassuring sense of order that breeds not pressure, but trust—trust that the team\u0026rsquo;s rules of the game won\u0026rsquo;t change overnight.\nLeading in the private domain, on the other hand, is more like the backstage lighting. It doesn\u0026rsquo;t illuminate everyone at once, but rather shines on those who need to be seen. Can you notice when a colleague has been unusually quiet lately? Can you understand the unspoken frustrations they carry? Can you sense the emotional temperature of the team? These small acts of \u0026ldquo;seeing\u0026rdquo; are the true glue that binds team relationships. Whether someone is willing to work with you long-term largely depends on whether they feel understood and respected in your presence.\nThe brilliance of management lies not in how elegantly the rules are written, but in how much warmth people feel within them. A team needs both the structure of the public domain and the emotional connection of the private domain. The former inspires belief in the power of the organization; the latter makes people willing to give their hearts. When rules and relationships coexist, a team is no longer merely \u0026ldquo;led\u0026rdquo;—it is \u0026ldquo;united.\u0026rdquo;\nPerhaps the essence of leadership comes down to this: being able to let people see the light of the system while also feeling the warmth of humanity.\n","date":"2025-10-07","description":"Drawing on operational thinking to explore how to balance systems and emotions in team management for effective leadership","permalink":"https://www.kingdeguo.com/en/2025/10/07/leading-teams-with-a-public-and-private-domain-mindset/","tags":["Team Management","Leadership","Public and Private Domains","Operational Mindset","Communication","Team Collaboration","Work Methods","Efficiency","Psychological Safety","Conflict Management"],"title":"Leading Teams with a Public and Private Domain Mindset"},{"categories":["Thinking Methods"],"content":"\u0026ldquo;Seeing\u0026rdquo; Is the Most Direct Shift from \u0026ldquo;How Could This Happen\u0026rdquo; to \u0026ldquo;Why\u0026rdquo; You see it. In that instant, the thought that surfaces is, \u0026ldquo;How could this happen?\u0026rdquo; The scene before you touches a nerve, like gently nudging open a door you never noticed. Your breath quickens slightly, your thoughts feel as though they\u0026rsquo;ve been torn open—yet they\u0026rsquo;re unexpectedly clear. You realize that this moment of seeing isn\u0026rsquo;t just visual; it\u0026rsquo;s a jolt that strikes straight at the heart.\nA few days ago, I happened to witness a colleague handling what seemed like a trivial internal conflict. Two team members were emotionally charged over a disagreement. Instead of jumping in to interrupt or shut it down, he listened quietly, earnestly absorbing each person\u0026rsquo;s perspective. He smiled as he paraphrased their points, using questions to guide them toward their own blind spots. Eventually, the tense atmosphere eased, and the conflict dissolved. In that moment, my heart jolted: How could someone remain so composed amid pressure and friction?\nThen, your brain automatically begins to think: \u0026ldquo;Why is he like this? Where does his patience, his approach, his judgment come from?\u0026rdquo; None of this was learned from a book or told to you by someone else. It came simply from seeing—intuitive, real, and concrete. Seeing transforms the question \u0026ldquo;How could this happen?\u0026rdquo; into the inquiry \u0026ldquo;Why.\u0026rdquo;\nEvery genuine act of seeing is a window. You perceive not just the surface, but the underlying logic, the patterns of emotion, and the subtleties of human nature. Surprise, curiosity, understanding—these feelings intertwine, quietly flipping your cognition. You realize that understanding never comes from assumptions; it arises from intuition, from feeling, from experience.\nThis kind of insight is silent yet profound. It doesn\u0026rsquo;t announce itself loudly, but it leaves a mark on your heart. You remember the thrill of that moment, and the gap in your thinking that was pried open. You understand that thought can wait, but the impact of seeing cannot be ignored. It brings once-blurry problems into sharp focus, naturally turning \u0026ldquo;How could this happen?\u0026rdquo; into \u0026ldquo;Why.\u0026rdquo;\nSo, pause. Look. Look closely. What you see isn\u0026rsquo;t just the surface—it\u0026rsquo;s a bridge to understanding. It strips confusion of its power, gives questioning a purpose, and lets cognition make a quiet leap. In every genuine act of seeing, you are silently learning the world—and silently reshaping yourself.\n","date":"2025-10-06","description":"Exploring how direct observation enables cognitive leaps, transforming surface-level questions into deep thinking","permalink":"https://www.kingdeguo.com/en/2025/10/06/seeing-is-the-most-direct-shift-from-how-could-this-happen-to-why/","tags":["cognitive leap","observational skill","understanding","mindset shift","mental models","problem solving","cognition","learning methods","decision making","systems thinking"],"title":"“Seeing” Is the Most Direct Shift from “How Could This Happen” to “Why”"},{"categories":["Workplace Insights"],"content":"First Impressions and Last Impressions When you first join a company, you\u0026rsquo;ll find yourself unusually concerned about how others perceive you. Every comment in a meeting, every project update, every chance encounter in the break room leaves an impression on your colleagues and managers. Your attitude, your response time, your ability to learn and adapt—these details add up to the \u0026ldquo;first impression\u0026rdquo; you give your team. It determines whether you can integrate quickly, and whether you\u0026rsquo;re likely to earn trust and resources.\nHowever, as time goes on, you gradually realize there\u0026rsquo;s another equally important but often overlooked moment: the \u0026ldquo;last impression\u0026rdquo; you leave when you leave. Some people wrap things up casually, hand over tasks hastily, or even leave with resentment, thinking, \u0026ldquo;I\u0026rsquo;m out of here anyway, so it doesn\u0026rsquo;t matter.\u0026rdquo; But in reality, these seemingly trivial actions shape how others will ultimately remember your entire professional persona. Conversely, if you take the time to organize project lists, clarify work status, brief your successor, and maintain open communication during your departure, people will remember you as professional and reliable.\nI recall a colleague, Xiao Li. When he left, despite harboring some dissatisfaction, he still spent an afternoon meticulously handing over the projects he had managed, listing every pending item and key point, and even held a brief meeting to explain the situation. A few days later, his manager sent him a message thanking him, and the team expressed their appreciation. Xiao Li left quietly, but the last impression he left behind made everyone deeply respect his professionalism. Later, when he returned to collaborate with his former company, he was still warmly welcomed.\nIn truth, many people are reluctant to do a thorough handover—and that\u0026rsquo;s understandable. Sometimes it\u0026rsquo;s driven by emotion, sometimes by the feeling that \u0026ldquo;leaving means freedom.\u0026rdquo; But from a management and career growth perspective, the last impression is a gift you leave for your organization and colleagues, and a form of long-term career capital. It not only affects future relationships but can also bring intangible benefits in your next job search or collaboration.\nSo how do you manage these two impressions? When joining, take the initiative to learn, collaborate actively, and demonstrate responsibility and professional competence. When leaving, stay rational and patient, complete the handover thoroughly and clearly, and strive to leave a positive impression. You don\u0026rsquo;t need to pretend to be someone you\u0026rsquo;re not, but you should consciously manage how others perceive you. That way, from start to finish, your professional image will be complete and well-rounded.\nYour first impression is the \u0026ldquo;front door\u0026rdquo; through which you enter an organization; your last impression is the \u0026ldquo;final note\u0026rdquo; as you leave. Both are essential components of your professional brand—neither can be overlooked. The first impression is the opening of your story; the last impression is its lingering resonance. Many people focus on crafting the beginning, but forget that the ending also tells who you are. Pay attention to both ends, and your professional story will be fully understood by others, leaving behind memories truly worth recalling.\n","date":"2025-10-05","description":"Exploring the importance of first and last impressions in the workplace, and how to manage your professional image","permalink":"https://www.kingdeguo.com/en/2025/10/05/first-impressions-and-last-impressions/","tags":["professional image","first impression","last impression","workplace relationships","interpersonal relationships","workplace culture","psychological cost","communication","career development"],"title":"First Impressions and Last Impressions"},{"categories":["Workplace Insights"],"content":"Empathy, Perspective-Taking, and Harmony in Diversity Sometimes I notice that I don\u0026rsquo;t get angry as easily anymore.\nIt\u0026rsquo;s not just that my temper has mellowed—it\u0026rsquo;s that I\u0026rsquo;ve slowly come to realize that many things simply aren\u0026rsquo;t worth taking to heart. When someone speaks bluntly, they\u0026rsquo;re not trying to offend you. When someone does things differently than you\u0026rsquo;d like, it\u0026rsquo;s not a personal attack. In the past, I might have felt a twinge of irritation; now I just smile and think: that\u0026rsquo;s just who they are. The world is complicated like that.\nI used to believe in the idea of \u0026ldquo;feeling someone else\u0026rsquo;s pain.\u0026rdquo; But over time, I\u0026rsquo;ve come to see it for what it often is—an illusion.\nNo one can truly feel what you feel. You can sympathize with me, but you won\u0026rsquo;t actually hurt the way I hurt. I can understand you, but I can\u0026rsquo;t step into your moments of quiet despair at 2 a.m. What we call \u0026ldquo;empathy\u0026rdquo; is more of a gesture—an effort to bridge the gap between us. Its value lies not in perfect understanding, but in the willingness to try.\nStill, I believe \u0026ldquo;perspective-taking\u0026rdquo; is a skill worth practicing.\nNot to pretend you understand, but to keep yourself from being trapped by narrow thinking.\nSometimes, when you look at a problem from someone else\u0026rsquo;s point of view, it\u0026rsquo;s like switching lenses—the sharp edges of the world suddenly soften.\nThat colleague who annoyed you? They\u0026rsquo;re just anxious. That friend who seemed cold? They simply didn\u0026rsquo;t know how to express themselves.\nSo many conflicts arise because we\u0026rsquo;re too eager to mold others into what we want them to be.\nOver time, I\u0026rsquo;ve come to see that \u0026ldquo;harmony in diversity\u0026rdquo; is a sign of maturity.\nIt\u0026rsquo;s not about who\u0026rsquo;s right—it\u0026rsquo;s about recognizing that everyone has their own reasons.\nSome people crave stability; others thrive on risk. Some speak in circles; others have a sharp tongue but a soft heart.\nLife isn\u0026rsquo;t about making everyone the same. It\u0026rsquo;s about learning to coexist.\nSo now, before jumping into an argument, I try to pause.\nNot to give in, but to ask myself: Is there really a right or wrong here?\nSo many heated debates, when stripped down, are just us defending our own feelings.\nBut understanding others is also a form of strength.\nUnderstanding isn\u0026rsquo;t surrender—it\u0026rsquo;s a quiet confidence: I see who you are, and I know who I am.\nMaybe that\u0026rsquo;s the ultimate purpose of perspective-taking—\nNot to become someone else, but to choose, after understanding, to still be yourself.\nThe world may never truly let us feel each other\u0026rsquo;s pain. But with a little gentleness, a little restraint, we can soften the edges between us and leave room for something more.\n","date":"2025-10-04","description":"Exploring understanding and respect in interpersonal relationships, and how to coexist with others while staying true to oneself","permalink":"https://www.kingdeguo.com/en/2025/10/04/empathy-perspective-taking-and-harmony-in-diversity/","tags":["perspective-taking","interpersonal relationships","understanding","harmony in diversity","human relations","workplace culture","psychological cost","communication","career development","workplace relationships"],"title":"Empathy, Perspective-Taking, and Harmony in Diversity"},{"categories":["Personal Growth"],"content":"Are You Too Busy to Improve? Have you ever felt this way? Every day is a blur of activity: endless meetings, messages to reply to, tasks piling up. You come home from work, only to be hit by a wave of chores and errands. Finally, when you collapse into bed, a thought creeps in—what am I actually busy with? Am I really getting any better by staying this busy?\nMany people are stuck in this very state. We equate \u0026ldquo;busy\u0026rdquo; with \u0026ldquo;hardworking,\u0026rdquo; believing that the busier we are, the more we\u0026rsquo;re progressing. But the truth is, busyness does not equal growth. You might just be trapped in a cycle of low-level repetition—like pedaling a stationary bike, putting in effort but going nowhere.\nWhy does this happen? Because we\u0026rsquo;re too easily pulled along by \u0026ldquo;urgent\u0026rdquo; matters. Emails need an immediate reply, meetings demand instant attendance, tasks require swift delivery. These things are important, of course, but they often only keep you afloat in the present. What truly drives long-term change are those \u0026ldquo;important but not urgent\u0026rdquo; activities—learning, reflecting, optimizing processes, and improving methods. These may not seem pressing, but if you neglect them for too long, you\u0026rsquo;ll remain stuck in inefficient busyness forever.\nI\u0026rsquo;ve experienced this firsthand. I used to think I\u0026rsquo;d make improvements once things calmed down, but that \u0026ldquo;calm\u0026rdquo; never came. Eventually, I forced myself to set aside a small block of time each week—no matter how busy I was—to review my workflow, optimize one step, or learn something new. At first, it felt like it wasn\u0026rsquo;t making a difference. But six months later, looking back, the gap was striking. Work became smoother, and time truly began to free up.\nThat\u0026rsquo;s why it\u0026rsquo;s essential to consciously build your own workflow. Tools can handle the mundane, and processes can reduce unnecessary friction, giving you the bandwidth to focus on what truly matters. Improvement itself doesn\u0026rsquo;t yield immediate results, but it pays dividends over time. The cost of ignoring it is that you\u0026rsquo;ll forever be stuck in firefighting mode.\nSo, when you feel too busy to improve, that\u0026rsquo;s precisely the signal that you need to stop and make room for it. Because only then can you break free from the trap of mindless busyness and turn effort into genuine growth. True masters are never led solely by urgency—they invest their time steadfastly in what truly matters.\n","date":"2025-10-03","description":"Exploring the relationship between busyness and growth, and how to find room for improvement amidst a hectic schedule","permalink":"https://www.kingdeguo.com/en/2025/10/03/are-you-too-busy-to-improve/","tags":["Time Management","Self-Improvement","Work Efficiency","Growth","Psychology","Cognition"],"title":"Are You Too Busy to Improve?"},{"categories":["Team Collaboration"],"content":"True Psychological Safety Is Not About Avoiding Conflict Many teams mistakenly equate \u0026ldquo;psychological safety\u0026rdquo; with \u0026ldquo;getting along harmoniously and never arguing.\u0026rdquo; I used to think the same—that as long as everyone nodded in agreement during meetings, the team was safe. But reality has taught me that teams with this kind of surface-level harmony often harbor hidden risks. True psychological safety isn\u0026rsquo;t about eliminating conflict; it\u0026rsquo;s about enabling members to voice dissenting opinions without fear of being ostracized or humiliated.\nAt its core, psychological safety means: you can say \u0026ldquo;I think there\u0026rsquo;s a problem here\u0026rdquo; without worrying about being isolated; you can challenge the soundness of a proposal without attacking the person who proposed it; you can admit mistakes and learn from them; you can see diverse perspectives encouraged rather than suppressed. Psychological safety empowers team members to speak up, not just maintain a facade of harmony.\nI recall a team discussion about the technical implementation of a new feature. Everyone initially nodded along in silence. I noticed a potential performance bottleneck in the design, but pointing it out directly seemed like it would break the meeting\u0026rsquo;s \u0026ldquo;harmonious atmosphere.\u0026rdquo; I first confirmed the issue privately with a colleague, then presented the potential impact with data at the next meeting. Gradually, team members began proactively voicing their own concerns. Someone quietly said, \u0026ldquo;If we do it this way, the load might not hold up.\u0026rdquo; Another chimed in, \u0026ldquo;I think we need to run another round of tests.\u0026rdquo; A potential problem was caught and fixed early. In that moment, I felt what true psychological safety really means: the team could express differing opinions openly, and conflict became a driver for problem-solving rather than a source of pressure.\nEmployees often hesitate to express dissent because they fear the risks: being dismissed, marginalized, or even jeopardizing their promotion opportunities. As a leader, I\u0026rsquo;ve learned to alleviate these psychological burdens through action. I start by modeling vulnerability—admitting when I\u0026rsquo;m uncertain or when my understanding might be off—so the team knows that raising questions is not a sign of weakness. We established simple ground rules for discussions: focus on the issue, don\u0026rsquo;t attack the person, and distinguish between debate and decision-making. Whenever someone bravely raises a dissenting view, I publicly acknowledge it, telling the team, \u0026ldquo;The issue you pointed out just saved our entire project.\u0026rdquo; Over time, the team began proactively flagging problems instead of hiding them.\nA truly psychologically safe team is not one without arguments, but one where arguments are managed and used constructively. Members can express differing views openly, problems are caught early, decisions become more robust, and both team efficiency and trust improve. In contrast, teams that maintain surface-level harmony and never argue may seem stable, but beneath the surface, tensions simmer: issues pile up, design flaws go unmentioned, and the eventual cost far outweighs the temporary comfort.\nIn summary, psychological safety is not about keeping the team perpetually harmonious—it\u0026rsquo;s about turning conflict into a constructive force. When I see team members still respecting each other despite holding different opinions, I truly realize: psychological safety has taken root. It empowers the team to speak up, ask questions, make changes, and ensures that everyone feels their voice matters.\n","date":"2025-10-02","description":"Exploring the true meaning of psychological safety and how to build it in teams","permalink":"https://www.kingdeguo.com/en/2025/10/02/true-psychological-safety-is-not-about-avoiding-conflict/","tags":["Psychological Safety","Team Building","Conflict Management","Leadership","Communication","Team Collaboration","Work Methods","Efficiency"],"title":"True Psychological Safety Is Not About Avoiding Conflict"},{"categories":["Tech Reflections"],"content":"What Has Large Language Models Really Changed? Lately, I\u0026rsquo;ve been pondering a question: What have large language models really changed?\nSometimes, I feel their impact runs deeper than what meets the eye. In the past, there was always a certain \u0026ldquo;rhythm\u0026rdquo; to how we worked. A proposal took days to prepare, a process took weeks to complete, a document was written slowly by one person. Time and space acted as natural constraints, framing everyone within their boundaries.\nBut with the arrival of large language models, many of those rhythms have been abruptly disrupted. They can generate a first draft in minutes, handle multiple tasks simultaneously, and push forward tasks that once required queuing, waiting, and repeated confirmations. The old logic of \u0026ldquo;time must be spent\u0026rdquo; seems to have been rewritten.\nThis reminds me of a saying: Nietzsche declared \u0026ldquo;God is dead,\u0026rdquo; meaning the old order had collapsed and humanity had to face the world anew. Similarly, the emergence of large language models seems to be telling us: many old orders have been leveled, and we need to rethink everything.\nIn my work, I\u0026rsquo;ve already felt this shift. Previously, a project proposal required several people to discuss, iterate, and finalize. Now, I first feed the model a version of the material, get a direction immediately, and then bring the output to the team for discussion—the pace is completely different. Before, writing a formal email meant carefully weighing every word; now, the model can outline a framework for me, and I only need to polish it based on the context. That \u0026ldquo;rhythm\u0026rdquo; has truly been reconstructed.\nSometimes, I\u0026rsquo;m even taken aback: processes we once thought irreplaceable, time we believed uncompressible, have suddenly become flexible. This forces me to reconsider: if efficiency is no longer the bottleneck, how should we define our own value? If machines can handle all \u0026ldquo;quantifiable\u0026rdquo; work in parallel, what can we, as humans, still contribute?\nI don\u0026rsquo;t have answers to these questions yet. But what I am certain of is that large language models are not just about saving us a bit of time—they have completely overturned our understanding of \u0026ldquo;time, space, and work rhythm.\u0026rdquo;\nThey\u0026rsquo;ve made me realize that we are standing at a new threshold. Many things now require us to look again, to understand anew.\n","date":"2025-10-01","description":"Reflecting on the deep impact of large language models on work rhythm and value perception","permalink":"https://www.kingdeguo.com/en/2025/10/01/what-has-large-language-models-really-changed/","tags":["Large Language Models","AI","Work Style","Value Reconstruction","Digital Transformation","Tech Management","Efficiency","Organizational Change","Architecture Design","Software Engineering"],"title":"What Has Large Language Models Really Changed?"},{"categories":["Management Practices"],"content":"Leaving Early and Team Assets National Day is just around the corner, and the company suddenly announced: everyone can leave early today. To be honest, most people had already bought their tickets and couldn\u0026rsquo;t change their plans at the last minute. But the moment this news came out, the office atmosphere immediately lightened up. Some people laughed and said, \u0026ldquo;Finally, I can leave without hitting traffic for once,\u0026rdquo; while others simply made plans to grab a drink with colleagues. This small change got me thinking about four words: organizational assets.\nWhy? Because this seemingly \u0026ldquo;trivial\u0026rdquo; perk is essentially making a deposit into the organization\u0026rsquo;s emotional bank account. Employees feel that the company has a human touch—that it understands and cares. When the day truly comes that everyone needs to push through overtime, that warmth can transform into cohesion.\nAfter years in management, I\u0026rsquo;ve come to realize that an organization\u0026rsquo;s true wealth isn\u0026rsquo;t found in financial reports, but in those invisible assets. There are roughly four types: systems, knowledge, relationships, and emotions.\nSystem assets are the skeleton of an organization. When processes are sound, people have confidence in their work. But if systems become too rigid, they turn into constraints. I recall a time when our project encountered an unexpected situation. Following the original process would have required multiple layers of approval—far too slow. We made an on-the-spot adjustment, keeping the core steps intact while streamlining the unnecessary ones, and that saved the project. This reinforced my understanding: the purpose of a system isn\u0026rsquo;t to control, but to provide a safety net.\nKnowledge assets are the organization\u0026rsquo;s memory. A company without accumulated knowledge is like a person with amnesia, constantly falling into the same traps. We later created a \u0026ldquo;retrospective repository,\u0026rdquo; where after each project, we documented pitfalls and lessons learned. After a few rounds, we noticed a significant drop in error rates and a boost in efficiency. That\u0026rsquo;s the compounding effect of knowledge.\nRelationship assets are the trust that fuels collaboration. Whether an organization can move fast depends on whether departments complement each other or undermine each other. I remember a cross-department collaboration where the timeline was already tight, but because we had several smooth collaborations in the past, the other team quickly reallocated resources to us. If the relationship had already been strained, that kind of \u0026ldquo;timely help\u0026rdquo; would have been nearly impossible.\nEmotional assets are often the most overlooked, yet they are critical to a team\u0026rsquo;s resilience. Many teams hit all their KPIs on paper, but the people are already emotionally drained. From a simple word of recognition to a collective benefit, these are all deposits into the emotional bank account. Something like leaving early today has no direct impact on performance, but it makes people feel, \u0026ldquo;This company is worth it.\u0026rdquo; That feeling can become the driving force that makes a team willing to go the extra mile when it matters.\nNow, back to management tools. KPI, OKR, PBC—on the surface, they\u0026rsquo;re all about numbers and processes, but behind the scenes, they also influence organizational assets. KPIs lean toward systems, OKRs emphasize consensus and relationships, and PBC reflects trust and mutual commitment between managers and employees. Tools themselves are neither right nor wrong. What matters is whether you\u0026rsquo;re consuming assets or accumulating assets when you use them.\nSo, this small gesture of leaving early is, at its core, a signal. It tells everyone: the organization is not a cold, mechanical machine, but a community that knows how to manage its assets. Machines depreciate, capital devalues—only organizational assets, if nurtured with care, grow richer over time.\nOne thought I really want to share with you today is this: An organization\u0026rsquo;s long-term competitiveness lies not in its immediate output, but in the organizational assets that accumulate day by day.\n","date":"2025-09-30","description":"Exploring how an organization's true wealth lies in invisible assets and how small gestures can accumulate organizational capital","permalink":"https://www.kingdeguo.com/en/2025/09/30/leaving-early-and-team-assets/","tags":["Organizational Management","Team Assets","Corporate Culture","Management Tools","Business Management","Leadership","Performance Management","Data Analysis"],"title":"Leaving Early and Team Assets"},{"categories":["Management Practices"],"content":"Can Quantification Help You Manage Your Team? When I first started managing a team, I was filled with confusion and anxiety about \u0026ldquo;quantification.\u0026rdquo; My boss handed me a target number, and I mechanically broke it down for the team, then stared at tasks and progress every day. What happened? Although the metrics seemed to be met, team morale plummeted—everyone operated like cogs in a machine. That\u0026rsquo;s when I realized: quantification itself is not the goal; it\u0026rsquo;s just a tool. But I was using it wrong.\nGradually, I began to understand the true value of quantification: it brings clarity to the details. When a metric is properly broken down, you can see where the problem lies, rather than scrambling to react only when the results come in. I recall one project that was delayed in its launch. At first glance, the metrics looked fine, but through quantitative tracking, I discovered that the development of core features was lagging and test coverage was insufficient. After making timely adjustments, the issue was nipped in the bud, and the team didn\u0026rsquo;t fall into disarray. This experience gave me my first real taste of how quantification empowers me to sense problems early, rather than just \u0026ldquo;cracking the whip.\u0026rdquo;\nBut soon, I realized that quantification is not a panacea. When the goal is set by the boss and you have no say in it, you must find a balance between reporting upward and breaking it down downward. If you simply pass the pressure down to your subordinates unchanged, the problem will only be transmitted, accumulate, and eventually explode. So I tried a new approach: when reporting upward, I used data to present potential risks and feasible paths, discussing adjustment plans with my boss; when breaking things down for the team, I translated the goal into actionable small steps while leaving some buffer for the team to handle unexpected situations. The result? Both team efficiency and psychological well-being improved.\nQuantification also has a hidden trap: it can easily lead managers into a maze of numbers, overlooking the people. Team members\u0026rsquo; emotions, motivation, and feedback often can\u0026rsquo;t be directly quantified, yet they determine the sustainability behind the numbers. I learned to look beyond the numbers and pay attention to these intangible indicators: the reasons behind delays, signs of team fatigue, and friction in collaboration. These \u0026ldquo;soft data\u0026rdquo; guide my decisions far more than raw numbers alone.\nIn summary, I\u0026rsquo;ve developed a more mature understanding of quantification: it\u0026rsquo;s not the goal, but a lighthouse—it points the way, but doesn\u0026rsquo;t steer the ship. Used correctly, quantification helps you spot problems early, optimize processes, and boost efficiency. Used incorrectly, it may only create pressure and anxiety. Numbers tell you \u0026ldquo;what happened,\u0026rdquo; but they don\u0026rsquo;t tell you \u0026ldquo;how to care for your team, nurture their hearts, and help them grow sustainably.\u0026rdquo; The wisdom of a manager lies in finding balance between numbers and humanity, letting the tool serve the goal, rather than letting the goal enslave the team.\nSo, my mindset now is simple: quantification is a mirror—it reflects the details and reveals the problems. But the ship\u0026rsquo;s course is still steered by people.\n","date":"2025-09-29","description":"Exploring the proper use of quantification in team management and how to strike a balance between numbers and humanity","permalink":"https://www.kingdeguo.com/en/2025/09/29/can-quantification-help-you-manage-your-team/","tags":["quantitative management","team management","data-driven","human-centric management","business management","data analysis","performance management","organizational management","leadership","management tools"],"title":"Can Quantification Help You Manage Your Team?"},{"categories":["Workplace Insights"],"content":"Schrödinger\u0026rsquo;s Face Have you ever noticed this scenario: the same words, sometimes they don\u0026rsquo;t bother you at all, and other times they sting like a needle. If it\u0026rsquo;s between two casual acquaintances, it\u0026rsquo;s no big deal. But once a superior-subordinate dynamic is involved, that subtle tension emerges. It\u0026rsquo;s like Schrödinger\u0026rsquo;s cat—half joke, half explosive—until you \u0026ldquo;observe\u0026rdquo; it, you never know the outcome.\nWhen I was younger, I thought I didn\u0026rsquo;t care much about \u0026ldquo;face.\u0026rdquo; I could laugh off whatever others said. But as I\u0026rsquo;ve grown older, I\u0026rsquo;ve noticed my \u0026ldquo;threshold\u0026rdquo; quietly shifting: the same remark that once rolled off me like air now makes me pause for a beat. It\u0026rsquo;s not that I\u0026rsquo;ve become more thin-skinned—it\u0026rsquo;s that life experience, social costs, and emotional value have accumulated, turning \u0026ldquo;face\u0026rdquo; from an abstract concept into an emotional balance that needs careful handling in every interaction.\nThis threshold isn\u0026rsquo;t fixed. It adjusts with relationships, contexts, and timing. Especially in hierarchical dynamics, you can never fully tell whether the other person is joking or hiding a landmine. This uncertainty makes \u0026ldquo;face\u0026rdquo; feel like an invisible circuit breaker in the office—brush against it lightly, and the atmosphere shifts.\nOver time, I\u0026rsquo;ve realized that you can\u0026rsquo;t simply ignore \u0026ldquo;face,\u0026rdquo; nor can you obsess over it. The real change comes when I feel my threshold being nudged: instead of reacting immediately, I pause, observe the situation, understand the relationship, gauge the other person\u0026rsquo;s intent, and then decide how to respond. Sometimes I defuse with humor, sometimes I set a clear boundary. This flexibility protects me and keeps interactions smoother. It\u0026rsquo;s not about swallowing your pride—it\u0026rsquo;s a mature way of handling things.\n\u0026ldquo;Face\u0026rdquo; is never a fortress that must be defended, nor is it a lawn to be trampled on. It\u0026rsquo;s more like a signal: it reminds us of the temperature of a relationship, the boundaries of interaction, and the need to adjust our strategy. Once you understand this, your reaction speed, attitude, and choices all shift—making you more at ease in social settings.\nSo, rather than saying I\u0026rsquo;ve \u0026ldquo;let it go,\u0026rdquo; it\u0026rsquo;s more accurate to say I\u0026rsquo;ve \u0026ldquo;learned to adjust\u0026rdquo;: not ignoring, not overreacting, not rushing to strike back—using a soft mindset to foster steady interactions. In the end, \u0026ldquo;face\u0026rdquo; isn\u0026rsquo;t a test of others, but of whether we can find our own threshold and learn to use it flexibly, so every interaction flows smoothly without tension.\n","date":"2025-09-28","description":"Exploring how to navigate the issue of 'face' in the workplace and social settings, understanding its threshold, and responding with flexibility.","permalink":"https://www.kingdeguo.com/en/2025/09/28/schr%C3%B6dingers-face/","tags":["face","social dynamics","workplace relationships","emotional management","interpersonal relationships","workplace culture","psychological cost","communication","career development"],"title":"Schrödinger's Face"},{"categories":["Workplace Insights"],"content":"Life Isn\u0026rsquo;t About Hardship Giving Way to Happiness, But Joy and Sorrow Walking Side by Side I used to believe deeply in the idea that \u0026ldquo;hardship gives way to happiness.\u0026rdquo; Back in my student days, staying up all night to cram for exams, only to see my grades improve, was the strongest positive reinforcement. I was convinced that life was a straight line: first the bitter, then the sweet—just endure, and the reward would eventually come.\nBut once I stepped into the real world, I gradually realized that straight line had turned into a winding path. Putting your all into a project doesn\u0026rsquo;t always get noticed; working overtime doesn\u0026rsquo;t necessarily lead to a promotion; laying all the groundwork can be overshadowed by a lucky break. When that cause-and-effect link between \u0026ldquo;effort and reward\u0026rdquo; breaks, your mindset starts to waver: Did I do something wrong? Am I not good enough? Is life tricking me? During that period, I kept fixating on \u0026ldquo;when will the hardship finally pay off,\u0026rdquo; only to grow more anxious and exhausted.\nThen one day, I came across a line: \u0026ldquo;Life isn\u0026rsquo;t about hardship giving way to happiness, but joy and sorrow walking side by side.\u0026rdquo; In that moment, it felt like someone gently patted me on the shoulder: It wasn\u0026rsquo;t that I wasn\u0026rsquo;t doing enough—it\u0026rsquo;s that life is simply like this. It\u0026rsquo;s not a one-way street from bitter to sweet, but a path where joy and sorrow intertwine—today\u0026rsquo;s small blessings, tomorrow\u0026rsquo;s little setbacks, coexisting, alternating, and highlighting each other.\nOnce I realized this, my mindset began to shift slowly. I stopped chasing the outcome that \u0026ldquo;the result must be sweet\u0026rdquo; and started focusing more on the process: Can I do this task well? Can I invest genuinely in the relationships right in front of me? Can I truly savor the small joys of daily life? In this way, life\u0026rsquo;s disappointments no longer felt so glaring, and every small success became something to treasure.\nNow, I\u0026rsquo;ve started to embrace this rhythm. Joy and sorrow come together—they are the very fabric of life. Sometimes a small setback makes happiness shine brighter; sometimes a little surprise can ease the burden of worry. My mindset is no longer \u0026ldquo;just get through this bitter patch and the sweet will come,\u0026rdquo; but rather \u0026ldquo;learn to find your footing in the weave of joy and sorrow.\u0026rdquo;\nLooking back, this isn\u0026rsquo;t compromise—it\u0026rsquo;s growth. It\u0026rsquo;s no longer holding myself hostage to the expectation that hardship must yield happiness, nor sinking into the illusion that life is nothing but struggle. Learning to move forward with joy and sorrow as companions has, instead, brought me a greater sense of calm and certainty.\n","date":"2025-09-27","description":"Exploring a shift in understanding life's rhythm, from expecting hardship to yield happiness to embracing joy and sorrow as companions","permalink":"https://www.kingdeguo.com/en/2025/09/27/life-isnt-about-hardship-giving-way-to-happiness-but-joy-and-sorrow-walking-side-by-side/","tags":["Life Philosophy","Mindset","Growth","Life Lessons","Interpersonal Relationships","Workplace Culture","Psychological Cost","Communication","Career Development","Workplace Relationships"],"title":"Life Isn't About Hardship Giving Way to Happiness, But Joy and Sorrow Walking Side by Side"},{"categories":["Team Collaboration"],"content":"The Company Can Run Without Anyone, So Why Is Asking for Time Off So Hard? There\u0026rsquo;s a saying in the workplace that sounds reassuring: \u0026ldquo;The company can run without anyone.\u0026rdquo; But when it\u0026rsquo;s your turn to ask for leave, the vibe shifts instantly, and your boss\u0026rsquo;s expression becomes harder to read than the weather forecast. You think to yourself: \u0026ldquo;Didn\u0026rsquo;t they say the company can run without anyone? Why does it get so complicated when it\u0026rsquo;s my turn?\u0026rdquo; — The truth is, there\u0026rsquo;s a whole set of \u0026ldquo;workplace physics\u0026rdquo; hiding beneath the surface.\nLet\u0026rsquo;s start with the first paradox: Asking for leave is like booking a train ticket — the closer it gets, the more uncertain it becomes. When things are calm, you say, \u0026ldquo;I\u0026rsquo;d like to take two days off next week,\u0026rdquo; and suddenly client reviews, system launches, and leadership presentations all pile up at once. You think it\u0026rsquo;s a coincidence? Actually, it\u0026rsquo;s the \u0026ldquo;Law of Leave\u0026rdquo;: the moment you plan to rest always collides with everyone else\u0026rsquo;s most stressful time.\nThe second phenomenon: Handovers are never as smooth as you imagine. You write a handover document, thinking you\u0026rsquo;ve covered everything, but when your colleague opens it, it feels like they\u0026rsquo;re playing a \u0026ldquo;puzzle game\u0026rdquo; — key steps are buried in comments, and the logic is anyone\u0026rsquo;s guess. So the boss does the math: rather than letting someone else fumble through the dark, it\u0026rsquo;s safer to keep you at the helm, at least to avoid a major disaster.\nThen there\u0026rsquo;s the chain of responsibility. When you want time off, your boss has to decide who covers for you. Unfortunately, \u0026ldquo;covering\u0026rdquo; in the workplace basically means \u0026ldquo;getting dragged into the mess.\u0026rdquo; Everyone is already as busy as a delivery driver juggling a stack of orders, and the moment you step away, the team\u0026rsquo;s rhythm falls apart.\nThere\u0026rsquo;s also a hidden dynamic: Asking for leave is essentially a \u0026ldquo;trust test.\u0026rdquo; If you hand over clearly and leave no mess behind, your boss will be more relaxed next time. But if you left a trail of chaos after your last break, their first reaction when you ask again will likely be — \u0026ldquo;Denied. Play it safe.\u0026rdquo;\nFinally, there\u0026rsquo;s a subtle psychological factor: fairness. When you\u0026rsquo;re gone, someone else has to pick up the slack, and after a few times, they can\u0026rsquo;t help but think, \u0026ldquo;Why does it always have to be me?\u0026rdquo; The boss also worries that approving leave too casually might breed collective resentment. So the safest move is to stall — stall until you drop the idea yourself.\nSo, at the end of the day, asking for leave is hard not because you can\u0026rsquo;t be replaced, but because no one wants to replace you. The boss fears a disrupted rhythm, colleagues fear extra blame, and you fear losing your plane ticket. Everyone is afraid, and things get stuck.\nBut life goes on, and you will need time off. The trick is simple: give plenty of notice, hand over cleanly, and bring back a little \u0026ldquo;gesture\u0026rdquo; when you return. When snacks suddenly appear in the break room, everyone\u0026rsquo;s mood lifts, and the burden doesn\u0026rsquo;t feel so heavy.\nOne last thought: The company can run without anyone, but the difficulty of taking leave has never been about \u0026ldquo;whether it\u0026rsquo;s possible\u0026rdquo; — it\u0026rsquo;s about \u0026ldquo;whether people are willing.\u0026rdquo;\n","date":"2025-09-26","description":"Exploring the phenomenon of difficulty in taking leave at work and the psychological and organizational factors behind it","permalink":"https://www.kingdeguo.com/en/2025/09/26/the-company-can-run-without-anyone-so-why-is-asking-for-time-off-so-hard/","tags":["Workplace Culture","Leave","Organizational Collaboration","Interpersonal Relationships","Communication","Team Collaboration","Work Methods","Efficiency","Psychological Safety","Conflict Management"],"title":"The Company Can Run Without Anyone, So Why Is Asking for Time Off So Hard?"},{"categories":["Personal Growth"],"content":"Focus and Flow I first encountered the concept of \u0026ldquo;flow\u0026rdquo; some time ago—a state of complete immersion in an activity where time seems to pass differently, thoughts become unusually clear, and a sense of pleasure and self-worth emerges. Initially, I thought flow was a special state that only occurred when writing code or designing, but I gradually realized it can exist in any scenario that demands focus: reading, taking notes, organizing materials, or even planning a day\u0026rsquo;s work.\nI\u0026rsquo;ve tried various methods to \u0026ldquo;trigger\u0026rdquo; flow. Sometimes it\u0026rsquo;s just a cup of coffee—a simple ritual that helps me adjust my state and begin focusing. Interestingly, this small action isn\u0026rsquo;t the key itself; rather, it signals to me that \u0026ldquo;now is the time to focus.\u0026rdquo; Once I\u0026rsquo;m in that zone, time becomes flexible, thoughts become clear, and the process of completing tasks itself becomes a pleasurable experience—as if I\u0026rsquo;m realizing my own value while enjoying the journey.\nRecently, large language models have become incredibly popular. While discussing them online, I noticed a phenomenon: some people say that using AI actually makes it harder to enter a flow state. The reason is intuitive—the more convenient the tool, the higher the likelihood that the rhythm of decision-making and execution gets interrupted. When every step can yield an answer quickly, you unconsciously scatter your attention, losing that deep, immersive experience. I\u0026rsquo;ve also tried observing this in my own work: when looking up information, generating text, or organizing thoughts, over-reliance on tools makes my mind jump around, making it difficult to sustain prolonged focus.\nThis got me thinking: flow isn\u0026rsquo;t about efficiency for efficiency\u0026rsquo;s sake; it\u0026rsquo;s about having a sense of control over your own thinking, a sense of participation. The existence of large language models isn\u0026rsquo;t contradictory—it simply reminds us that when using tools, we need to leave ourselves some space for \u0026ldquo;independent exploration,\u0026rdquo; keeping the rhythm of thinking and action manageable. When you clearly know which tasks require your deep thought and which can be handled with tools, it becomes easier to enter flow while maintaining a sense of enjoyment.\nI\u0026rsquo;ve come to realize that flow isn\u0026rsquo;t really mysterious. Every time you fully immerse yourself—whether in writing notes, reading, or organizing ideas—you\u0026rsquo;re having a conversation with yourself. You feel time flowing differently, and your thoughts become exceptionally clear. The key is that once you recognize this, you naturally start arranging your work and study in a way that makes flow not just an occasional spark, but a sustained state of focus. It\u0026rsquo;s not a task; it\u0026rsquo;s your way of enjoying thinking and creating.\n","date":"2025-09-25","description":"Exploring the value of flow state and how to maintain deep focus and thinking in the age of AI","permalink":"https://www.kingdeguo.com/en/2025/09/25/focus-and-flow/","tags":["Flow","Focus","Large Language Models","Self-Improvement","Work Efficiency","Time Management","Psychology","Cognition","Growth"],"title":"Focus and Flow"},{"categories":["Workplace Insights"],"content":"Don\u0026rsquo;t Bear the Pressure You Shouldn\u0026rsquo;t Have To In the workplace, many people share a common habit: when a problem arises, they try to handle it on their own first. They believe that working a few extra hours or brainstorming a few more solutions will be enough to fix things. But the issue is, some pressures were never yours to bear in the first place. Toughing it out not only fails to solve the problem but can also make things more complicated.\nFor example, if cross-departmental resources aren\u0026rsquo;t available, no amount of personal capability can create them out of thin air. If senior leadership frequently shifts direction, no amount of overtime can compensate for the time repeatedly wasted. When systemic risks emerge in a project, relying solely on individual effort often delays the optimal window for intervention. In many cases, what truly derails a situation isn\u0026rsquo;t the problem itself, but the mindset of \u0026ldquo;not wanting to bring it up.\u0026rdquo;\nSo, the key isn\u0026rsquo;t \u0026ldquo;how long you can endure,\u0026rdquo; but whether you can clearly identify: what you should take on, and what must be escalated to the organization. A practical rule of thumb is this: if raising the issue still leaves others enough time to act, then that\u0026rsquo;s the right moment to speak up. Surfacing a problem early isn\u0026rsquo;t shirking responsibility—it\u0026rsquo;s buying the team room to maneuver.\nMany people worry that speaking up early might make them seem less accountable. In reality, the opposite is true. Having the courage to raise an issue at the right time is a genuine form of responsibility. It not only clarifies the boundaries of roles within the team and organization but also helps avoid a situation of \u0026ldquo;appearing in control while actually losing it.\u0026rdquo; Over the long term, this habit protects both the individual and the organization.\nUltimately, a mature professional must learn to strike a balance. What you should bear, you tackle with full effort—that\u0026rsquo;s accountability. But what you shouldn\u0026rsquo;t bear, you escalate decisively, letting the pressure return to where it can truly be resolved—that\u0026rsquo;s wisdom. True value isn\u0026rsquo;t earned by toughing it out alone, but by placing problems in the right hands to drive things forward smoothly.\n","date":"2025-09-24","description":"Exploring how to identify and handle the pressures you should and shouldn't bear in the workplace","permalink":"https://www.kingdeguo.com/en/2025/09/24/dont-bear-the-pressure-you-shouldnt-have-to/","tags":["workplace pressure","responsibility boundaries","problem handling","maturity","interpersonal relationships","workplace culture","psychological cost","communication","career development","workplace relationships"],"title":"Don't Bear the Pressure You Shouldn't Have To"},{"categories":["Management Practices"],"content":"Middle Managers Are Often the First to Break In the workplace, people often say, \u0026ldquo;Senior leaders set the strategy, and frontline staff execute it.\u0026rdquo; But the ones who truly buckle under pressure are usually middle managers. Strategy is decided at the top, execution is carried out at the bottom—but middle managers are stuck in the middle, bearing the brunt. They must answer upward, reassure their teams downward, and somehow figure out how to turn unrealistic goals into tangible results.\nI\u0026rsquo;ve seen this play out countless times. A meeting wraps up, and suddenly KPIs are doubled. A leader casually says, \u0026ldquo;You handle this,\u0026rdquo; and that\u0026rsquo;s the end of it. The team immediately erupts: \u0026ldquo;This is unreasonable—it\u0026rsquo;s impossible to pull off.\u0026rdquo; All that frustration and resistance lands squarely on the middle manager. What can they do? They smile and say, \u0026ldquo;No problem,\u0026rdquo; while quietly figuring out how to break down the targets, absorb the blow, and buy some breathing room. They have to talk smoothly, hold things together, and carry a growing weight inside.\nWhat makes it even tougher is that middle managers often have very little real authority. They can decide very little, yet they bear enormous responsibility. If a project fails, it\u0026rsquo;s the middle manager\u0026rsquo;s fault. If the team has conflicts, it\u0026rsquo;s the middle manager\u0026rsquo;s fault. If senior leaders are unhappy, the middle manager gets blamed first. In short, they are the shock absorbers—every impact passes through them.\nMany people think being a middle manager is a cushy position, but it\u0026rsquo;s anything but easy. Frontline staff can at least complain, and top leaders can make the final call. Only middle managers can neither pass the buck nor run away. The more they try to hold things together, the more it\u0026rsquo;s taken for granted. And when they finally can\u0026rsquo;t take it anymore, they realize they\u0026rsquo;re the first to fall.\nSo, middle managers are often the first to break—not because they lack ability, but because they stand at the very center of pressure transmission.\nSo what can be done? I think there are two sides to this. For middle managers personally, they need to learn to distinguish between \u0026ldquo;what can be absorbed\u0026rdquo; and \u0026ldquo;what must be escalated upward.\u0026rdquo; Not every burden has to be carried alone. Learning to voice difficulties is the only way to secure resources. For organizations, it\u0026rsquo;s important to recognize that if middle managers keep collapsing, the problem isn\u0026rsquo;t with individuals—it\u0026rsquo;s with the entire chain of pressure transmission. Setting reasonable goals, granting authority, and offering support are what truly allow pressure to be absorbed, rather than amplified layer by layer.\nIn other words, whether middle managers can hold up isn\u0026rsquo;t just a matter of personal resilience—it\u0026rsquo;s a barometer of organizational health.\n","date":"2025-09-23","description":"Exploring the pressures faced by middle managers in organizations and how to navigate these challenges","permalink":"https://www.kingdeguo.com/en/2025/09/23/middle-managers-are-often-the-first-to-break/","tags":["Middle Management","Workplace Pressure","Organizational Structure","Responsibility","Corporate Management","Organizational Management","Leadership","Management Tools","Performance Management","Data Analysis"],"title":"Middle Managers Are Often the First to Break"},{"categories":["Workplace Insights"],"content":"I Don\u0026rsquo;t Want to Hear Hot Takes This morning, I scrolled past a trending headline: \u0026ldquo;AI Can Already Write Academic Papers—University Professors Will Be Unemployed Within Three Years!\u0026rdquo; The accompanying image was an AI-generated face, with hollow eyes and a slight smirk, as if sneering. I stared at the screen, and only one thought crossed my mind: here we go again. My heart rate spiked for a moment, but then I realized how absurd this sense of panic really was—it stirred up emotion without offering any valuable information.\nThis kind of hot take is nothing new. Blockchain was supposed to make banks disappear, the metaverse was going to erase reality, and large language models were predicted to put programmers out of work. Every time, it\u0026rsquo;s the same formula: shock you, get you emotionally worked up, make you feel like you have to act immediately—only to find, three seconds later, that nothing has changed. This cycle feels both amusing and exhausting. We\u0026rsquo;re like spectators strapped into our seats, our emotions yanked around, while never actually taking the wheel.\nI\u0026rsquo;ve come to realize that the real danger of hot takes isn\u0026rsquo;t the content itself—it\u0026rsquo;s that they steal our rationality and our ability to act. They offer false certainty, making people feel like they\u0026rsquo;ve glimpsed the future, when in reality, they\u0026rsquo;ve simply stopped thinking. Reading such content, my mood briefly fluctuates, then sinks into a hollow feeling: we spend our time scrolling, liking, and sharing, yet we haven\u0026rsquo;t made a single change in the real world.\nThe most ironic part is that the loudest voices often don\u0026rsquo;t understand what they\u0026rsquo;re talking about. They gain attention through exaggeration, while we ride the emotional highs and lows. Reading this, I can\u0026rsquo;t help but wonder: have I ever let similar rhetoric hijack my emotions? It turns out that any of us can unknowingly hand over our judgment to an internet post.\nI hope I won\u0026rsquo;t let these hot takes hold me hostage. Imagination can show us possibilities, but it can\u0026rsquo;t replace action. Hot takes are like fireworks—dazzling but fleeting. Action is the bridge that truly takes us toward the future we want. As I read, I keep reminding myself: What is this piece of information telling me? Who will it affect? What should I do about it?\nAfter reading all this, I smiled—and woke up. The world won\u0026rsquo;t change because of one viral post. Our growth and our decisions require us to think and act for ourselves. Hot takes may get our adrenaline pumping, but they steal the most precious things we have: reason and the drive to act. This realization has made me see that learning to discern, learning to stay silent, and learning to take action matter far more than chasing every trending post.\n","date":"2025-09-22","description":"Exploring how to navigate exaggerated rhetoric online, maintain independent thinking, and preserve the ability to take action","permalink":"https://www.kingdeguo.com/en/2025/09/22/i-dont-want-to-hear-hot-takes/","tags":["Information Age","Independent Thinking","Hot Takes","AI","Interpersonal Relationships","Workplace Culture","Psychological Cost","Communication","Career Development","Workplace Relationships"],"title":"I Don't Want to Hear Hot Takes"},{"categories":["Management Practices"],"content":"What Does R\u0026amp;D Management Really Entail? After years in R\u0026amp;D management, one thing has become increasingly clear: management is not about chasing task progress or simply acting as a \u0026ldquo;messenger.\u0026rdquo; True management lies in constantly balancing pressures from above, execution capabilities of the team, institutional constraints, and human considerations. Every day brings this tug-of-war: sudden changes in upper management\u0026rsquo;s demands, unexpected team emergencies, rigid institutional frameworks, and nuanced interpersonal dynamics. Management, at its core, is about finding actionable footholds amid these conflicts—enabling the team to be both efficient and resilient.\nAdjustments from upper management are the most direct source of pressure. I recall one instance where a project originally slated for two months was compressed into one. Simply pushing mechanically would have made it nearly impossible to complete. Instead, I first assessed the current state and risks, optimized processes and resource allocation, and then communicated transparently with the team. In the end, while overtime was unavoidable, the core features launched on time, and the team didn\u0026rsquo;t break down. This taught me that management isn\u0026rsquo;t about blindly appeasing—it\u0026rsquo;s about finding viable solutions between institutional constraints and reality.\nThe tension between subordinate execution and human considerations is also common. If you merely pass pressure down the line and let the team absorb problems, they quickly burn out. Later, I tried a different approach: understanding the team\u0026rsquo;s state, breaking down tasks, building in some buffer, and paying moderate attention to emotional well-being. This way, even when faced with unexpected events, the team could self-regulate without losing efficiency or morale.\nThe conflict between systems and reality particularly tests a manager\u0026rsquo;s wisdom. R\u0026amp;D inevitably encounters emergencies—system outages, interface changes, cross-department coordination. Sticking rigidly to procedures slows projects down; being completely ad hoc leads to chaos. I once dealt with a sudden cross-department interface change. By adjusting the schedule, optimizing testing processes, and updating documentation, the team delivered on time while learning to adapt to change. This made me realize that the value of systems lies in support, not constraint.\nThe balance between human touch and institutional rules reflects the team\u0026rsquo;s warmth. Each person has a different personality and capability. If you focus only on tasks and ignore feelings, cracks quickly appear in the team. The art of management is to uphold principles while moderately adjusting the pace, allowing discipline and warmth to coexist. Even amid change, the team remains stable.\nBringing these four dimensions together, I truly understood the essence of R\u0026amp;D management: it\u0026rsquo;s not about controlling every move, but about creating order amid high pressure, change, and uncertainty—helping the team find its rhythm and strength. Every communication with upper management, every coordination with subordinates, every fine-tuning of systems and human considerations, is a manifestation of managerial wisdom. Good management gives the team both direction and resilience in complex environments, enabling efficient delivery while preserving vitality.\nUltimately, I\u0026rsquo;ve found that the most important thing in R\u0026amp;D management is not a task list or clock-in supervision, but sensing the team, adjusting flexibly, balancing humanity and systems, and keeping the team stable and motivated under pressure and change. Every crisis response, every decision adjustment, helps the team find its own rhythm while operating at high speed. Managers are often not commanding, but creating viable space and pace for the team.\n","date":"2025-09-21","description":"Exploring the essence of R\u0026D management—not about controlling every move, but creating order amid high pressure, change, and uncertainty","permalink":"https://www.kingdeguo.com/en/2025/09/21/what-does-rd-management-really-entail/","tags":["R\u0026D Management","Team Management","Systems","Human Touch","Business Management","Organizational Management","Leadership","Management Tools","Performance Management","Data Analysis"],"title":"What Does R\u0026D Management Really Entail?"},{"categories":["Thinking Methods"],"content":"Retrospection and Chain of Thought Lately, I\u0026rsquo;ve been pondering one question: Is retrospection really worth the time? Many people only reflect after a failure, and even then, they do it reluctantly. But gradually, I\u0026rsquo;ve come to realize that whether in success or failure, retrospection is essentially building a chain of thought for yourself. Simply put, it\u0026rsquo;s not just about looking back at the past—it\u0026rsquo;s about organizing logic, clarifying cause and effect, and making your next move more deliberate.\nRetrospection matters because our decisions and actions always unfold in complex environments. With rapid changes and fragmented information, relying solely on intuition and experience often leads to repeated mistakes or missed opportunities. If you can straighten out every decision and every action node, you can connect scattered experiences into a clear logical chain, gradually learning to find a path through complexity. This is not just an accumulation of skills, but also a training of the mind.\nRecently, I\u0026rsquo;ve noticed many people experimenting with large models to assist in retrospection, which I find quite intriguing. For instance, when drafting a proposal, analyzing data, or designing a process, you can simulate different scenarios and predict possible outcomes through the model, allowing you to see the potential impact of your decisions more intuitively. This essentially turns retrospection from a mere review into a \u0026ldquo;rehearsal,\u0026rdquo; making the chain of thought more complete. As Lei Jun once said, successful experiences also need to be summarized, or they will fade away with time. By combining retrospection with the chain of thought, both successful and failed cases can serve as references for future actions.\nIn practice, I\u0026rsquo;ve gradually developed my own method: first, outline the full picture of the event, noting each key decision and its rationale; then, analyze the results and impacts, mapping out the key causal relationships; finally, consider what alternatives and optimizations exist if a similar situation arises again. Each retrospection generates a chain of thought in my mind, making experiences tangible and actionable. Over time, when faced with new problems, you no longer rely entirely on intuition but have a logical framework to follow, bringing a sense of composure and initiative.\nSlowly, I\u0026rsquo;ve come to realize that retrospection is not just a tool for reviewing the past, but a way to have a dialogue with yourself. It turns fragmented experiences into a coherent chain, making every action traceable and every attempt an accumulation of energy for the future. Retrospection and the chain of thought are like drawing a \u0026ldquo;mental map\u0026rdquo; for yourself in a complex environment, allowing you to find direction, feel a sense of control, and embrace freedom even when facing uncertainty.\n","date":"2025-09-20","description":"Retrospection is not just about reviewing the past, but also about organizing logic, clarifying cause and effect, and building a chain of thought for yourself.","permalink":"https://www.kingdeguo.com/en/2025/09/20/retrospection-and-chain-of-thought/","tags":["Retrospection","Chain of Thought","Large Models","Decision Making","Mental Models","Problem Solving","Cognition","Learning Methods","System Thinking"],"title":"Retrospection and Chain of Thought"},{"categories":["Tech Reflections"],"content":"AI for Employees vs. AI for Leaders Recently, a friend shared their team\u0026rsquo;s experience with AI usage, and it gave me a new insight—employees and leaders use AI in fundamentally different ways. When employees use AI, it\u0026rsquo;s typically to boost personal efficiency—writing articles, coding, organizing materials. It acts like a magnifying glass, making each task more precise and efficient. When leaders use AI, however, it often involves organizational decision-making and team management, with deeper and more complex implications.\nOne scenario my friend described left a strong impression: a leader used AI to generate a complete project plan and handed it directly to the team for execution. On the surface, it seemed efficient, but the team found much of the content disconnected from reality, forcing them to spend extra time dissecting and adjusting it. This made me think: the integration of traditional management with AI is not inherently seamless. Traditional management emphasizes planning, processes, and hierarchy, while AI amplifies both the speed of decisions and the potential for偏差. When leaders rely on AI to generate directives without fully understanding the team\u0026rsquo;s actual execution capabilities, the organization can fall into a trap of \u0026ldquo;surface-level efficiency masking real inefficiency.\u0026rdquo;\nThe difference between employee AI and leader AI also reflects the core logic of how organizations operate. Employee AI is an efficiency amplifier, making individual work more precise and controllable. Leader AI, on the other hand, is a decision amplifier, magnifying the organization\u0026rsquo;s rhythm and direction. Without a deep understanding of collaboration models, communication mechanisms, and execution capabilities, the plans generated by leader AI often fail to take root. This shows that the value of new technology cannot be separated from the organizational and collaborative system—otherwise, efficiency gains may be merely superficial.\nIt\u0026rsquo;s crucial to take a rational view of AI usage. Employee AI should serve as an assistive tool, amplifying individual capabilities. Leader AI should act as a decision-making reference, helping the organization maintain a steady rhythm. At the same time, organizations need to rebuild collaboration frameworks on top of traditional management: clarify role boundaries, keep communication open, and adjust feedback mechanisms. Only then can the power of AI truly translate into collective team value. AI should not become a formalized metric or evaluation tool, but rather a tool to enhance wisdom, support decisions, and optimize collaboration.\nUltimately, my thinking circles back to a core point: while employee AI and leader AI differ, if they can be organically integrated within the organizational and collaborative logic, both efficiency and flexibility can coexist, allowing teams to maintain direction and resilience in a rapidly changing environment. As my friend\u0026rsquo;s real-world examples suggest, when both leaders and teams understand the boundaries and value of AI, the changes brought by technology will truly take root—rather than just skimming the surface.\n","date":"2025-09-19","description":"Exploring how employees and leaders use AI differently and the impact on organizations","permalink":"https://www.kingdeguo.com/en/2025/09/19/ai-for-employees-vs.-ai-for-leaders/","tags":["AI","Management","Organization","Efficiency","Large Language Models","Organizational Change","Digital Transformation","Tech Management","Architecture Design","Software Engineering"],"title":"AI for Employees vs. AI for Leaders"},{"categories":["Workplace Insights"],"content":"Outsiders Directing Insiders At first, the idea of an outsider directing an insider felt instinctively off to me. It seemed like a disrespect to professionalism—like someone who has never cooked trying to teach a chef how to stir-fry. Expertise, by its nature, comes with a threshold, and the voice of an outsider often sounds, well, amateurish.\nBut as I gained more experience, I gradually realized that this is not an isolated phenomenon—it is a normal part of how society operates. A company\u0026rsquo;s CEO may not understand the technical details of R\u0026amp;D, yet they make the final call on product direction. Investors may not be engineers, yet they decide whether a project lives or dies. Even in families, parents often offer unsolicited advice on their children\u0026rsquo;s development without any background in pedagogy. The idea of outsiders directing insiders may seem absurd, yet it is everywhere.\nUpon further reflection, I came to see that there is a certain rationality to it. An outsider may not grasp the technical nuances, but they might have a better understanding of the market, resource allocation, or trade-offs. When insiders are deeply immersed in their domain, they can easily fall into the trap of \u0026ldquo;seeing the trees but missing the forest.\u0026rdquo; An outsider\u0026rsquo;s perspective, at times, can break through the limitations of professional tunnel vision. For instance, a startup founder may not know how to write a single line of code, but the strategic direction they provide can guide the team toward a much larger stage.\nOf course, outsider direction is not always effective. In many cases, it can lead to misjudgment and conflict. This is especially true when outsiders are overconfident and dismiss professional judgment, resulting in the awkward scenario of \u0026ldquo;amateurs commanding experts.\u0026rdquo; The difference lies in whether such guidance is grounded in respect and understanding. If an outsider simply imposes their will arbitrarily over professional expertise, insiders will naturally resist. But if the outsider\u0026rsquo;s involvement brings a fresh perspective and a broader vision, then the insider\u0026rsquo;s technical skills can be applied more effectively in the right context.\nIt was only at this point that I came to accept a simple truth: outsiders directing insiders is not an anomaly—it is a manifestation of the division of labor in society. What truly matters is not whether the outsider is \u0026ldquo;unqualified,\u0026rdquo; but whether they can offer a perspective that insiders lack. Meanwhile, insiders, while holding firm to their expertise, must also learn to appreciate the value of external voices. After all, the functioning of society often moves forward through the friction and balance between these two forces.\n","date":"2025-09-18","description":"Exploring the rationality and value of the social phenomenon where non-experts guide experts","permalink":"https://www.kingdeguo.com/en/2025/09/18/outsiders-directing-insiders/","tags":["Expertise","Management","Division of Labor","Perspective","Interpersonal Relationships","Workplace Culture","Psychological Cost","Communication","Career Development","Workplace Dynamics"],"title":"Outsiders Directing Insiders"},{"categories":["Personal Growth"],"content":"Proactive Pursuit vs. Reactive Response When it comes to time management, I\u0026rsquo;ve come to realize that it\u0026rsquo;s not about packing every day to the brim, nor about mastering a toolbox of productivity apps. The real key lies in how you view time: do you pursue tasks, or do tasks pursue you? These two mindsets are like two forces in life—one actively rows the boat, the other lets the current carry it forward. Combining both makes work and life more flexible and composed.\n\u0026ldquo;Proactive pursuit\u0026rdquo; means making deliberate choices and focusing your energy on what truly matters. Imagine your time as a block of wood; actively seeking tasks is like carving it into the shape you desire. Many people end a busy day only to realize they\u0026rsquo;ve been putting out urgent but unimportant fires, while the tasks that create long-term value keep getting postponed. Being proactive means scheduling those \u0026ldquo;important but not urgent\u0026rdquo; tasks in advance. Even just one or two hours a day dedicated to writing, thinking, or advancing core projects can yield cumulative results. Proactivity isn\u0026rsquo;t about looking busy—it\u0026rsquo;s about giving your time structure and letting your life develop a rhythm.\n\u0026ldquo;Reactive response,\u0026rdquo; on the other hand, is the reality of life. No matter how meticulous your plan, it can\u0026rsquo;t fend off an unexpected phone call, a system crash, or a child falling ill. Parkinson\u0026rsquo;s Law tells us that work expands to fill the time available, and these disruptions are classic examples of tasks finding you. In the past, I used to feel anxious when my plans were derailed. But after encountering Stoic philosophy, I learned to distinguish between what I can and cannot control. For the unpredictable, the true wisdom lies not in complaining, but in quickly adjusting your rhythm within the limited time you have, minimizing the impact.\nThe two approaches complement each other. Proactivity keeps you moving toward your goals; reactivity helps you stay steady amidst surprises. I\u0026rsquo;ve set a personal rule of thumb: spend 70% of my time on proactive pursuits and leave 30% for reactive responses. In the morning, I dedicate two hours to my most critical work, minimizing interruptions. In the afternoon, I leave a flexible window for ad hoc meetings or unexpected issues. This way, I maintain continuity in core work while ensuring that life\u0026rsquo;s surprises don\u0026rsquo;t throw me into chaos.\nTrue time wisdom isn\u0026rsquo;t about controlling everything—it\u0026rsquo;s about knowing when to tighten and when to loosen. Proactivity gives each day direction, like rowing a boat toward a destination; leaving room for the unexpected is like water flowing around obstacles. Proactivity brings rhythm, reactivity brings composure. This balance makes work efficient and life smooth, and when facing an uncertain future, it adds a sense of lightness and margin. Every unexpected event no longer feels like a disruption to your rhythm, but a reminder that in life, some things must be accepted, and some things can be actively shaped.\n","date":"2025-09-17","description":"True time management wisdom lies in balancing initiative with adaptability, making work efficient and life serene","permalink":"https://www.kingdeguo.com/en/2025/09/17/proactive-pursuit-vs.-reactive-response/","tags":["Time Management","Proactive vs Reactive","Stoicism","Work Methods","Work Efficiency","Psychology","Cognition","Self-Improvement","Growth"],"title":"Proactive Pursuit vs. Reactive Response"},{"categories":["Personal Growth"],"content":"Misalignment Between Self-Positioning and External Expectations Lately, I\u0026rsquo;ve noticed a very common phenomenon: how we position ourselves often doesn\u0026rsquo;t fully align with how others perceive and expect us to be. No matter how hard we try to complete our work or fulfill our roles, people frequently find a gap between how they see themselves and how others see them. This misalignment can be confusing at times, and frustrating at others. I\u0026rsquo;ve been thinking about why this gap exists. Is it a misunderstanding on our part, or is it simply that the expectations of the environment and others are inherently different? Hard work alone is often not enough—we also need to understand the mechanisms behind this misalignment.\nThe root of the problem is actually quite simple, yet easily overlooked. Self-positioning stems from our own understanding of our abilities, experience, and value, while external expectations are shaped by the environment, the team, and the hopes of others. We act based on our own cognitive framework, but inevitably face the standards and demands of others. This tension is natural and easily triggers anxiety and confusion. It\u0026rsquo;s not a matter of competence, but rather a natural gap between self-perception and the expectations of others. The key isn\u0026rsquo;t to work harder and do more, but to learn to recognize the gap, communicate proactively, and adjust flexibly based on the situation.\nOne performance coaching session left a strong impression on me. An employee had been working diligently to make everything perfect, but during the conversation, they were reminded that they needed \u0026ldquo;more initiative and a stronger sense of overall drive.\u0026rdquo; They thought completing their assigned tasks was sufficient, but the team expected them to proactively identify potential issues and push things forward. Seeing them pause slightly, quietly processing the feedback, the reality of this gap was stark. The misalignment wasn\u0026rsquo;t a problem with their ability, but the natural tension between self-perception and external expectations. As a coach, I found myself thinking about how to guide them to understand external expectations without invalidating their hard work. This process also gave me a new perspective on understanding the relationship between people and their roles.\nWhen facing this kind of misalignment, the important thing isn\u0026rsquo;t to double down on effort or self-blame, but first to understand the gap, try to communicate, and then flexibly adjust your approach. Self-positioning evolves with changes in environment, stage of life, and role requirements, while external expectations also shift with organizational goals and team rhythms. When self-perception and external expectations are brought to the table, and both sides understand each other\u0026rsquo;s starting points, it becomes easier to find common ground, making collaboration between individuals and teams smoother. Misalignment itself is a signal—it reminds us to stay sensitive and flexible in both our actions and our understanding.\nUltimately, a mismatch between self-positioning and external expectations is not a failure, but an inevitable part of growth. Understanding the gap, communicating proactively, and adjusting flexibly are important pathways to gradually aligning self-perception with external expectations. Each adjustment and realignment is an opportunity for personal growth, and a prerequisite for a positive resonance between individuals and the organization. Misalignment is not an obstacle, but an opportunity for discovery and learning.\n","date":"2025-09-16","description":"Exploring the natural gap between self-perception and others' expectations, and how to understand and navigate this misalignment","permalink":"https://www.kingdeguo.com/en/2025/09/16/misalignment-between-self-positioning-and-external-expectations/","tags":["self-awareness","expectation management","workplace","growth","work efficiency","time management","psychology","cognition","self-improvement"],"title":"Misalignment Between Self-Positioning and External Expectations"},{"categories":["Personal Growth"],"content":"Seize the Moment, Achieve Twice the Results with Half the Effort In life, there are always moments that strike like lightning splitting the clouds, bringing unexpected illumination. Perhaps it\u0026rsquo;s a flaw suddenly discovered while organizing documents late at night, or an inconspicuous point in a team discussion that unexpectedly connects the entire picture. Many call this \u0026ldquo;opportunity,\u0026rdquo; but I prefer to call it a \u0026ldquo;pivotal moment.\u0026rdquo; Opportunity is a random gift from the outside world, while a pivotal moment is often quietly brewed within our own thinking and actions. Seize that moment, and the heavy burden of pushing a boulder uphill suddenly becomes surprisingly light—you achieve twice the results with half the effort.\nThe value of a pivotal moment lies in its power to break inertia. We are often dragged along by the rhythm of daily routine, repeating like machines. But when a pivotal moment arrives, it\u0026rsquo;s as if someone suddenly slams the table—you have to stop, lift your head, and see the big picture: Is this path the wrong one? Is there a more efficient route? In that instant, inertia is torn apart, and the possibility of change truly breaks in. You might even glimpse the threads of order amid the chaos.\nA pivotal moment is also a methodology. On the surface, it appears as an accidental trigger: a sentence in a book, a subtle reminder in a conversation, an unexpected insight during a project. But at a deeper level, it demands that we maintain a sensitive mindset and a wide-angle perspective, weaving scattered clues into a panoramic view. What others see as mere coincidence, we recognize as an inflection point—a lever capable of shifting the rhythm.\nMore importantly, a pivotal moment is not a gift of luck, but a reward for preparation. Those who truly achieve twice the results with half the effort do not succeed effortlessly; rather, they accumulate knowledge and patience through long stretches of seemingly \u0026ldquo;fruitless work.\u0026rdquo; It is precisely because of this long-term groundwork that a pivotal moment can, in an instant, connect the dots into lines and weave the lines into a tapestry. It is never a pie that falls from the sky, but a bud that naturally blooms after deep cultivation.\nWhen a pivotal moment arrives, courage is equally indispensable. Many people don\u0026rsquo;t miss it because they never encountered it, but because they hesitated and let it slip away. Change always comes with uncertainty—whether you are willing to leap, and whether you dare to leap, often determines whether a true turning point will come. A pivotal moment only opens briefly; hesitate too long, and it quietly closes again.\nSo, don\u0026rsquo;t just wait for luck. Instead, cultivate the habits of organizing, summarizing, and reflecting in your daily routines. In that moment, you\u0026rsquo;ll find that what once required all your effort suddenly flows as smoothly as pushing open a door that was always meant to be opened.\nA pivotal moment is not a miracle—it is a catalyst for change. Whether you can achieve twice the results with half the effort depends not on how much favor the outside world bestows upon you, but on whether you have prepared in advance—ready to seize that beam of light when it appears, ignite it, and let years of accumulated effort bloom and bear fruit earlier than others.\n","date":"2025-09-15","description":"Opportunity is not a gift of luck, but a reward for preparation and a catalyst for change","permalink":"https://www.kingdeguo.com/en/2025/09/15/seize-the-moment-achieve-twice-the-results-with-half-the-effort/","tags":["opportunity","methodology","growth","efficiency","work efficiency","time management","psychology","cognition","self-improvement"],"title":"Seize the Moment, Achieve Twice the Results with Half the Effort"},{"categories":["Thinking Methods"],"content":"Building a Panoramic View In the past, I always thought that drawing process flows and outlining frameworks was just a way to organize notes—nothing special. It wasn\u0026rsquo;t until recently, while studying a business problem, that I suddenly realized: \u0026ldquo;building a panoramic view\u0026rdquo; is a concept worth exploring on its own. When I came across terms like \u0026ldquo;roadmap\u0026rdquo; and \u0026ldquo;mental map\u0026rdquo; in books, it finally clicked—what I had been doing in a scattered way was essentially building a panoramic view. I just hadn\u0026rsquo;t recognized the methodological value behind it before.\nA panoramic view means abstracting complex business, knowledge, or skills from scattered points into a cohesive whole. It allows you to stop focusing solely on the piece in front of you and instead see your position and relationships within the bigger picture. Without a panoramic view, it\u0026rsquo;s easy to fall into local optimization while neglecting the overall system.\nLooking back, many times when I truly grasped a business, it was precisely because I had unintentionally built a panoramic view. When I first worked on product requirements, I fixated on a single feature, and the more I dug in, the more complex it became. Later, I drew a user journey map, connecting \u0026ldquo;where users come from, how they enter the product, where they linger, and when they churn.\u0026rdquo; Only then did I realize the problem wasn\u0026rsquo;t the feature itself, but the logic of the transitions between stages. That moment was a real breakthrough.\nThe same applies to operational campaigns. If you only focus on conversion rates, you tend to optimize one specific step, with limited results. By mapping the entire process into a panoramic view—traffic sources, campaign mechanics, user behavior, and post-event retention—you can compare each stage and immediately identify the bottleneck. Whether in product or operations, the issue is the same: a lack of global perspective makes local optimization a trap.\nOver time, I\u0026rsquo;ve come to see that actively building a panoramic view is a highly practical way of thinking. It helps you pinpoint weak links in the business, prevents you from spinning your wheels on local details, and allows you to shift perspectives when making decisions—from \u0026ldquo;keeping your head down to pull the cart\u0026rdquo; to \u0026ldquo;lifting your head to see the road.\u0026rdquo; Rather than relying on someone else\u0026rsquo;s pre-packaged \u0026ldquo;business framework,\u0026rdquo; it\u0026rsquo;s better to draw your own panoramic view in every project.\nHaving a panoramic view is like gaining an aerial perspective in a complex neighborhood. Scattered points connect into lines, chaotic steps link into logic, and every key node becomes clearly visible. You can see the root of the problem and find the path to a solution. In business, learning, and even daily life, this map keeps you from being trapped by the local view and allows you to truly master the entire landscape.\n","date":"2025-09-14","description":"Panoramic thinking helps us see business and problems from a holistic perspective, avoiding the trap of local optimization.","permalink":"https://www.kingdeguo.com/en/2025/09/14/building-a-panoramic-view/","tags":["panoramic view","way of thinking","business understanding","systems thinking","mental models","problem solving","decision making","cognition","learning methods"],"title":"Building a Panoramic View"},{"categories":["Workplace Insights"],"content":"Is Meritocracy Enough? The Real Struggles of Outside Leaders Many people believe that a good leader only needs to know their people and assign them wisely to lead a team effectively. But in reality, things are rarely that simple. This is especially true for outside leaders—those who parachute into a new team—who often step into a minefield of invisible pitfalls from day one.\nI once observed a team like this. It had been running smoothly under a long-time leader, but when a new leader came in from outside, all the established order was disrupted. The team had several key members: Xiao Li, technically strong but completely uninterested in management or responsibility; Xiao Wang, highly capable but deeply suspicious of the new leader, openly challenging decisions in meetings and quietly influencing others behind the scenes; and Xiao Zhang, average in ability but always risk-averse, dodging responsibility whenever possible. The new leader started out confident, believing that simply putting the right people in the right roles would make things run. But he soon discovered that reality was far more complex than any paper-based plan.\nAt first, Xiao Wang directly questioned his decisions in team meetings, freezing the atmosphere on the spot. Others were affected too, and the team\u0026rsquo;s execution visibly declined. Meanwhile, Xiao Li, despite his technical prowess, kept procrastinating and nitpicking, even using technical justifications to shirk tasks. The new leader tried one-on-one conversations to understand their motivations, adjusted task assignments, and even designed phased challenges with feedback mechanisms. But none of these measures worked immediately. The team remained resistant, projects kept slipping, and morale stayed low.\nThis case really struck a chord with me. Meritocracy is certainly important, but it\u0026rsquo;s no magic formula. Focusing solely on ability and placing people in the right roles is just the starting point of management, not the end. Without established authority, accumulated trust, and resolved psychological resistance and organizational inertia, even the most perfect role alignment won\u0026rsquo;t yield results. Management is more like a long-term balancing act: finding the intersection between authority and buy-in, and constantly reconciling capability with willingness.\nIn the end, the project was completed, but the team\u0026rsquo;s atmosphere remained tense, and several core members even considered leaving. The real-world answer is clear: knowing people and assigning them wisely is not a one-shot key to success, but a path that requires constant adjustment. For outside leaders, this is not just a challenge—it\u0026rsquo;s an essential trial by fire.\n","date":"2025-09-13","description":"Exploring the true challenges faced by outside leaders—knowing people and assigning them wisely is no magic formula","permalink":"https://www.kingdeguo.com/en/2025/09/13/is-meritocracy-enough-the-real-struggles-of-outside-leaders/","tags":["Leadership","Management","Team Building","Workplace","Interpersonal Relationships","Workplace Culture","Psychological Cost","Communication","Career Development","Workplace Relationships"],"title":"Is Meritocracy Enough? The Real Struggles of Outside Leaders"},{"categories":["Personal Growth"],"content":"Skill Progress or Technique Progress September—time to open the list I made at the start of the year. The crossed-out items look clean and decisive, but a lingering doubt creeps in: Is this real progress? Or did I just get by with a few clever tricks, barely scraping through the tasks?\nWe all know that optimization has no end. Yet along the way, tempting shortcuts appear—deadlines push us to compromise, ROI calculations shake our resolve. Once we give in, these shortcuts become fleeting comforts that fail the moment the context changes.\nReal progress, perhaps, isn\u0026rsquo;t about how many items are crossed off the list, but about what settles in your mind. For instance, when facing a similar problem, you recall the pitfalls from last time and reuse past experience. It\u0026rsquo;s like a cycle: plan, execute, check, act. Each iteration leaves behind new reference points, making the next round clearer in direction and steadier in stride. That kind of accumulation is what truly moves you forward.\nThose little tricks that merely \u0026ldquo;polish the numbers\u0026rdquo;—flashy on the surface, hollow inside. They reveal their true nature the moment the goal changes.\nLarge language models have taken the world by storm this year; almost everyone is talking about them. But where they\u0026rsquo;ll ultimately lead, no one can say for sure. It could be a complete transformation, or just a passing fad. What we can do, perhaps, is maintain a healthy dose of skepticism and focus on what won\u0026rsquo;t easily become obsolete: logic, principles, and ways of thinking.\nThree months—not long, but enough. The list will gradually fade, the check marks will blur, but the abilities that truly stick will keep working in the next cycle. You can cross items off the list, but the road still lies ahead.\n","date":"2025-09-12","description":"Distinguishing genuine skill development from superficial technique improvements, focusing on abilities that won't easily become obsolete","permalink":"https://www.kingdeguo.com/en/2025/09/12/skill-progress-or-technique-progress/","tags":["skills","growth","large language models","learning methods","work efficiency","time management","psychology","cognition","self-improvement"],"title":"Skill Progress or Technique Progress"},{"categories":["Tech Thoughts"],"content":"Ideation Creates, Thinking Destroys When I first heard the phrase \u0026ldquo;Ideation creates, thinking destroys,\u0026rdquo; my gut reaction was that it sounded a bit extreme. How could thinking be destructive? Hasn\u0026rsquo;t it always been regarded as the hallmark of rationality and assurance? But the more I observe software engineering in practice, the more I realize this statement isn\u0026rsquo;t exaggerated—in fact, it cuts straight to the core.\nAn idea is a spark. It excites people, instantly igniting a team\u0026rsquo;s passion and opening up new possibilities: whether it\u0026rsquo;s the bold declaration to \u0026ldquo;go microservices\u0026rdquo; or the impulse to \u0026ldquo;refactor an entire module,\u0026rdquo; ideas make the future feel within reach. But no matter how bright the spark, if it isn\u0026rsquo;t broken down and examined, it may just ignite a pile of dry grass—blazing up in an instant, only to leave behind a heap of ashes.\nThinking, on the other hand, is that seemingly cold-hearted \u0026ldquo;destroyer.\u0026rdquo; It carries no passion; instead, it picks up a hammer and chips away at the shiny idea piece by piece, forcing us to answer the toughest questions: Can the architecture hold up under ten times the traffic? Will the processes still work when the team doubles? If the future direction changes, will today\u0026rsquo;s design survive? This kind of deconstruction is brutal—it feels like constantly knocking down models on a sand table. But it is precisely this destruction that filters out flashy illusions, leaving behind only those solutions that can truly stand the test of time.\nAt this point, my understanding of \u0026ldquo;creation\u0026rdquo; and \u0026ldquo;destruction\u0026rdquo; has shifted. Creation isn\u0026rsquo;t just about coming up with an idea—it\u0026rsquo;s about having the courage to open up the future and let possibilities emerge. Destruction, in turn, isn\u0026rsquo;t about actual demolition—it\u0026rsquo;s a form of purification, stripping away fragility and illusion. The two are not opposites; they are mutually causal: without creation, destruction becomes empty criticism; without destruction, creation drowns in complexity and technical debt.\nSo I\u0026rsquo;ve come to realize that creation and destruction are actually two sides of the same coin. Creation unfolds the future, giving us the courage to try; destruction contracts our fantasies, forcing us to keep only what can truly move forward. Just as in software engineering, a healthy system isn\u0026rsquo;t built from a string of inspirations—it emerges from countless rounds of tearing down, rebuilding, and making trade-offs, gradually settling into a reliable architecture. Passion and composure, ideas and skepticism—they should alternate, rolling forward together. That, in the end, is what real evolution looks like.\n","date":"2025-09-11","description":"In software engineering, ideas bring creation, while thinking appears destructive but is actually a process of refinement and filtering","permalink":"https://www.kingdeguo.com/en/2025/09/11/ideation-creates-thinking-destroys/","tags":["creativity","thinking","software engineering","architecture design","digital transformation","technology management","efficiency","organizational change"],"title":"Ideation Creates, Thinking Destroys"},{"categories":["Team Collaboration"],"content":"The Power of Consensus At work, I\u0026rsquo;ve increasingly come to realize one thing: many tasks fail not because of a lack of execution, but because of a lack of consensus.\nWhen I first started my career, I believed that being obedient and executing quickly made a good employee. Whatever others asked, I would jump into action immediately, never asking too many questions. Yet the results were often the same: I would spend a lot of time, only to have my work go unrecognized, or worse, get bogged down in explanations and finger-pointing. In those moments, I felt both helpless and anxious, silently blaming myself for never quite keeping up with \u0026ldquo;everyone else\u0026rsquo;s\u0026rdquo; pace. Gradually, I came to understand that the problem wasn\u0026rsquo;t my lack of effort—it was that I hadn\u0026rsquo;t confirmed from the start whether we were all on the same page.\nOnce, our team was responsible for organizing a company-wide sharing session. Different groups each busied themselves with their own parts: venue setup, agenda planning, materials preparation, and guest coordination. The result? Scheduling conflicts, duplicated materials, and a level of anxiety that nearly erupted into complaints. At that moment, the entire office was thick with tension, like a powder keg ready to explode at any moment.\nI stopped and gathered the team together. Everyone first shared their own understanding and concerns, and then we unified our goals and clarified responsibilities. Strangely enough, the chaos immediately began to take shape. Everyone knew exactly what they were doing and understood why others were doing what they did. In the end, the sharing session was not only completed smoothly but turned out even better than expected, and everyone\u0026rsquo;s stress was noticeably reduced. In that moment, I truly felt that consensus doesn\u0026rsquo;t just make things go smoothly—it also makes the entire team more relaxed and efficient.\nOver time, I\u0026rsquo;ve found that this insight is just as important whether I\u0026rsquo;m an individual contributor or leading a team. In the past, when faced with pressure, I would grit my teeth and bear it, thinking that was my responsibility. But much of that pressure didn\u0026rsquo;t come from the task itself being too heavy—it came from my habit of shouldering everything alone. Learning to openly discuss problems, first confirming consensus and then dividing the work, made things go much more smoothly and significantly lightened my psychological burden. You\u0026rsquo;ll find that when the entire team is aligned in their thinking, decisions are faster, execution is smoother, and you no longer feel the anxiety of fighting a lone battle.\nGradually, I\u0026rsquo;ve come to believe that consensus is the most easily overlooked yet most worthwhile investment of time in the workplace. It acts like a lubricant, allowing the gears of a team to turn smoothly. Without it, even the most strenuous efforts can be in vain; with it, things often fall naturally into place. Now, whenever I face a new task, the first thing I do isn\u0026rsquo;t to rush into action—it\u0026rsquo;s to confirm that everyone is working from the same blueprint: establish consensus first, then put in the effort.\n","date":"2025-09-10","description":"In the workplace, many things fail not because of a lack of execution, but because of a lack of consensus.","permalink":"https://www.kingdeguo.com/en/2025/09/10/the-power-of-consensus/","tags":["Team Collaboration","Consensus","Work Methods","Communication","Efficiency","Psychological Safety","Conflict Management"],"title":"The Power of Consensus"},{"categories":["Workplace Insights"],"content":"Do Less, Achieve More: The Power of Restraint When I first started working, I was always in a rush to get things done as quickly as possible. My to-do list was never empty—it only grew longer. Looking back, all I felt was the satisfaction of having \u0026ldquo;done a lot,\u0026rdquo; but I rarely had any truly deep thinking to show for it.\nIn recent years, \u0026ldquo;cost reduction and efficiency improvement\u0026rdquo; has become a buzzword in corporate circles. Alibaba talks about focusing on the core, ByteDance speaks of pragmatic romanticism—at their heart, they all point to the same truth: our limited energy must be concentrated where it creates the most value. During a work conversation, someone once asked me: \u0026ldquo;Are you really okay being this busy?\u0026rdquo; That question made me seriously reflect on whether busyness itself equals effectiveness.\nI recalled a classic hospital case. To save doctors\u0026rsquo; time, the hospital assigned administrative staff to transcribe and enter the orders doctors wrote. On the surface, it seemed reasonable: doctors could devote more energy to patient care. But in practice, the administrative staff complained about illegible handwriting, and doctors had to repeatedly explain themselves, slowing down the process. After a period of adjustment, doctors began to cooperate, and data entry became smoother. Just as everyone thought efficiency had improved, a new problem emerged: much of the information being entered had no real value to begin with. In other words, the issue wasn\u0026rsquo;t the method of entry—it was that the entire information flow was flawed at its source. The hospital ultimately had to push for process optimization, bringing the problem back to the system level to solve it.\nThis case reveals a common misconception: we tend to focus on local optimization while ignoring the bigger picture. If the process had been redesigned from a systemic perspective from the start, perhaps these workarounds wouldn\u0026rsquo;t have been necessary.\nThis insight gradually taught me the value of restraint, which has had a positive impact on both my life and work. For example, at work, I no longer rush to complete every task at once. Instead, I first assess priorities and channel my limited energy into the projects with the greatest impact. In my personal life, I\u0026rsquo;ve learned to cut back on unnecessary social interactions and information intake, freeing up time for reading and exercise—and in return, I\u0026rsquo;ve gained a much deeper sense of satisfaction. Even in everyday decisions, I\u0026rsquo;m more willing to say \u0026ldquo;no,\u0026rdquo; avoiding endless cycles of depletion.\nLess is more. This isn\u0026rsquo;t laziness—it\u0026rsquo;s a higher-order way of getting things done. Busyness can create an illusion of productivity, but only thoughtful prioritization and trade-offs generate real value. Restraint is the starting point for moving from the local to the global.\n","date":"2025-09-06","description":"Learn to exercise restraint in work and life, focusing on what truly matters—a higher-order approach to getting things done","permalink":"https://www.kingdeguo.com/en/2025/09/06/do-less-achieve-more-the-power-of-restraint/","tags":["efficiency","restraint","work methods","life philosophy","interpersonal relationships","workplace culture","psychological cost","communication","career development","workplace relationships"],"title":"Do Less, Achieve More: The Power of Restraint"},{"categories":["Technology"],"content":"Programming for Scaling Lately, one idea has been circling in my mind: all design patterns ultimately boil down to programming for scaling.\nObserving the recent evolution of large language models, I\u0026rsquo;ve come to deeply realize a fundamental truth: a system\u0026rsquo;s true capability often stems from scaling, not just local optimization. It is through the continuous expansion of compute power, parameters, and data that large models are able to exhibit complex abilities and behaviors. This has led me to reexamine those familiar goals in software engineering and business development—scalability, maintainability, decoupling, reusability—which, despite their different names, are all essentially designed to ensure a system can evolve steadily as its scale and complexity grow.\nSoftware is never static; it expands as the business grows. From monolithic architectures to distributed systems, and then to microservices, every evolutionary step is a response to the pressure of increasing scale. Modularization, interface abstraction, data governance, and domain modeling all reserve room for team expansion and multi-line business development. Even the processes of business development, requirements review, and collaboration norms are all preparations for scaling, ensuring that the system and the team do not spiral out of control as complexity rises. The insight from large models is this: once growth crosses a certain threshold, seemingly minor design choices become magnified, and a system\u0026rsquo;s ability to evolve becomes its true competitive advantage.\nEmbracing this perspective has changed how I approach daily development. In the past, I focused more on immediate requirements and local elegance. Now, I first ask: if the number of users or features were to grow tenfold, would the code still hold up? Are the boundaries between interfaces and modules robust enough? Even for a small feature, I prioritize its flexibility for future expansion. This is not over-engineering; it\u0026rsquo;s about leaving room for scaling from the very beginning, so that the code not only solves today\u0026rsquo;s problems but also supports tomorrow\u0026rsquo;s growth.\n","date":"2025-09-05","description":"All design patterns ultimately boil down to programming for scaling. The true power of a system often comes from scaling.","permalink":"https://www.kingdeguo.com/en/2025/09/05/programming-for-scaling/","tags":["Design Patterns","Architecture","Scalability","Large Language Models","Digital Transformation","Technology Management","Efficiency","Organizational Change","Architecture Design","Software Engineering"],"title":"Programming for Scaling"},{"categories":["Workplace Insights"],"content":"The Pleasure of Information and the Trap of Cognition In an era of information overload, it\u0026rsquo;s easy to fall into the illusion that scrolling through news, reading updates, and chasing trending topics means we are constantly acquiring new knowledge. But upon closer reflection, most of this content is fragmented. It delivers instant gratification but rarely crystallizes into genuinely valuable understanding. It\u0026rsquo;s like snacking—tasty in the moment, but lacking the long-term nourishment of a proper meal.\nIn contrast, the kind of learning that truly reshapes our thinking and elevates our cognitive abilities is often systematic. It requires us to invest sustained time in reading books, studying in-depth articles, and even engaging in repeated reflection and practice. This process is slow, and the rewards are not immediate, but its compounding effect over the long term is irreplaceable.\nFrom a methodological perspective, fragmented information is better suited for \u0026ldquo;quickly sensing changes,\u0026rdquo; while systematic learning determines whether we can \u0026ldquo;truly keep up with change.\u0026rdquo; If a person remains stuck in the former, they will forever be pushed along by information. Only by continuously investing in the latter can they gradually build their own knowledge framework.\nTherefore, learning cannot be a passive act of consumption. It requires conscious choice—directing more of our attention toward depth and structure. Cutting back on instant stimulation and giving our time to more worthwhile content may feel tedious in the short term, but in the long run, it will surely pay off.\n","date":"2025-09-04","description":"In the age of information overload, we need to distinguish between the value of fragmented information and systematic learning","permalink":"https://www.kingdeguo.com/en/2025/09/04/the-pleasure-of-information-and-the-trap-of-cognition/","tags":["Cognition","Learning Methods","Information Age","Interpersonal Relationships","Workplace Culture","Psychological Cost","Communication","Career Development","Workplace Relationships"],"title":"The Pleasure of Information and the Trap of Cognition"}]