done-0/value-realization/done-0-value-realization

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Judge whether something actually produces value in a concrete scenario. Value is a beneficial relational property between subject and object, conditioned on the states of both sides, that only holds in a specific scenario. Typical uses: judging whether a value proposition holds, mapping a capability to a concrete use scenario, diagnosing why no one uses it or why they don't stick, clarifying how to position or state the value, assessing whether something is worth investing in, or judging whether you can borrow someone else's approach (e.g. \"is this idea sound?\", \"does anyone actually want this?\", \"why did we roll it out and no one uses it?\", \"why do people try it once and never come back?\", \"can we copy what someone else did?\"). When the thing being judged has a decision-maker (who pays / signs off) that is not the same as the actual end user (enterprise software, internal platforms, etc.), first state which side you're analyzing for and split the two value relationships to run separately.

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SKILL.md

Value Realization

Type: Analytical framework

Overview

This framework judges whether something — a product, feature, piece of copy, use scenario, or any value proposition — actually produces value in a concrete situation. It is not a checklist, nor an evaluation form you run once and hand in a report; it is a set of mutually independent analytical dimensions plus a method for sustained conversation, helping you turn a vague "is this good" judgment into "in which scenario, on what basis, when, and can it be perceptibly produced as value, and how much of these conclusions is reliable" — and then keep talking, round after round, until you've forced out a value or business opportunity that genuinely stands up.

It rests on one premise: value is not a fixed message waiting to be transmitted and explained, but a relationship co-produced by the states of both sides in a concrete scenario. So judging value is not about explaining it clearly, but about finding the specific scenario configuration that makes this beneficial relationship actually hold. Discovering value comes from sharp falsification and relentless probing, not from agreement and paraphrase — and this runs through the entire framework, whether you're talking to real users or in repeated conversation with an AI.

Key terms

  • User: the person using this skill (product creator, product manager, designer, founder, etc.).
  • End user: the person who will use the product under discussion.
  • Experience: a past event that, under specific conditions within a dynamically shifting historical period, solved a specific problem and yielded a method that correctly solves it (the method carries its own preconditions and usage). Experience depends on a specific scenario, triggers selectively, and before use you must judge whether conditions have changed.
  • Value: a beneficial relational property between subject and object — a weighted, subjective property conditioned on the states of both sides. When both subject and object are people, it depends on the weighted balance of both sides' cognition.
  • Value scenario: the concrete configuration that makes the beneficial relationship hold — who, in what state, in what situation and conditions, gets what result from using this thing.
  • Value-relationship configuration: the specific combination of "subject — object — state — conditions" in the value scenario. Discovering value is, in essence, locking in this configuration.
  • Value-relationship position: where in the relationship the value confirmation or result realization happens. At least three kinds: the end user confirms some external object, content, or feature is valuable to them; the end user achieves their own result through the product; the end user themselves, their behavior, or their output is confirmed valuable through feedback from others, a group, or a system. The three can coexist but cannot substitute for one another.
  • Second-layer condition: a more abstract, cross-scenario-reusable constraint extracted from concrete experience, above the surface practice. When micro conditions keep shifting, you need to extract and record it.
  • Use scenario: the concrete situation in which the product might be used.
  • Use case: the specific task or flow an end user completes with the product in some situation.
  • Feature: the product's technical capability.

A few distinctions you must keep straight:

  • A feature is not value. A feature is what the product can do; value is what the end user gets as a result in a concrete scenario.
  • A use scenario says where the product might be used, a use case says how a user uses it to complete a task, a value scenario says where the relationship is and on what basis it produces a beneficial property — being usable is not the same as producing value.
  • Talking about value requires putting it in a concrete scenario. Value detached from scenario can't be judged true or false.
  • Every conclusion has two independent axes: direction (does it hold) and solidity (how much rests on evidence). The two can't substitute for each other.

Three foundational definitions

The whole framework rests on three definitions; return to them repeatedly while analyzing.

Experience

Experience is an event that happened in the past, solved a specific problem under specific conditions, and yielded a method that correctly solves the problem (the method includes its own preconditions and usage). Three points: it happened in the past, and does not include predictions about the future; it is bound to specific conditions and a specific problem; it holds within a dynamically shifting historical period, not for all time.

Because micro conditions keep shifting within that historical period, you need to extract from concrete experience a more abstract, more change-resistant second-layer condition and record it. That is: experience depends on a specific scenario, triggers selectively under subjective judgment, and before use you must first judge whether conditions have changed.

Value

Value is a beneficial relational property between subject and object — that is, a weighted, subjective property conditioned on the states of both sides. When both subject and object are people, it depends on the weighted balance of both sides' cognition.

Value is based on both sides' states and on a specific scenario, not a fixed property the product owns unilaterally and that holds detached from the user. Experience, too, only produces value in a specific scenario — when conditions change, experience can fail; reusing past experience in a real scenario usually requires re-analyzing the situation at the time and adjusting how the method is used.

Different end users in different scenarios may seek different types of value — identity and belonging, economic gain, status and recognition, capability improvement, time saved, problem solved, and so on. Such a list is only a prompt for exploration, not a template to apply.

Information loss

Experience is born with an insider as its subject, and a person cannot be both insider and outsider at once, so experience is inherently limited and lossy.

  • A written summary depends on the recorder's writing skill and incurs loss (and the event can't be reconstructed 100%); with exceptional expressive skill there can also be gain.
  • Person-to-person communication depends heavily on both sides' cognition, expression, and perception: speaker1 wants to express 100 points and may only voice 80; in speaker2's cognition and perception it folds to 60, a loss of 40 in between (the reverse — gain — is also possible).

Core insights

Value is a relationship co-produced by both sides' states in a specific scenario, not something the product owns unilaterally and waits to hand to the user. This yields several judgments that run through the whole text:

  • Discovering value is locking in the value-relationship configuration. The question "does this thing have value" is itself malformed; the right question is "in which configuration — who, what state, what conditions — does it produce a beneficial property." Find that configuration and you've found value; fail to, and everything you say is empty.
  • One person can't compute complete value. Value depends on the weighted balance of both sides' cognition; analyzing alone, you only grasp your own half. The other half — the end user's state, cognition, and the conditions of the scenario they're in — must be obtained from real, matching end users.
  • Value has degree; it's not a switch. It's a weighted balance, inherently continuous, so a judgment can't be a binary hold/doesn't-hold verdict — it must also express how deep you've probed and how much rests on evidence.
  • Conditions carry time. Both experience and value only hold under specific conditions, and conditions shift dynamically: a judgment that held two years ago may run on conditions that have changed today — looking the same, but actually different.

Two meta-principles

Two disciplines take priority over the specific dimensions: each analysis first calibrates its stance with them, then enters the dimensions. They address two common analytical biases.

One: start from the concrete, don't habitually see through to the "essence"

Once something has already manifested concretely and can be clearly perceived, the value or problem has already taken shape and landed — and you should directly use that concrete thing to build, rather than habitually abstracting it into an "essence."

The deeper you drill toward essence, the more you strip away the concrete conditions that make value hold — from the information-loss angle, abstraction is stripping conditions, which is loss, while the phenomenon is the state with the most complete conditions and the lowest loss. Seeing through and perceiving it but not acting yields a pretty judgment that can't land and can't be verified.

The only necessary abstraction is extracting the cross-scenario-reusable second-layer condition. So abstract only up to the second layer and stop; don't drill all the way to essence and lose the concrete, usable thing already in your hand.

When analyzing: when the user can already point at a concrete phenomenon — a real piece of feedback, a real usage action, a real dataset — and speak, start from that concrete thing, rather than first abstracting it into a grand truth and discussing that.

Two: set the target before firing the arrow

Value is only produced in a specific scenario, so no target means no scenario, which means value has nowhere to happen.

Investing continuously without a clear expectation — continuing if there's an effect, stopping if there isn't — is like firing arrows endlessly with no target; once conditions change, what looked useful before fails instantly. Usually you should set the target first — lock in the concrete scenario configuration where value happens — then fire. There's also the exploratory case of finding the target: in a dynamically shifting environment, the target itself must be discovered. The framework holds both modes, but you must explicitly distinguish which one you're in, rather than pretending you have a target.

When analyzing: at the open, confirm whether there's a target (whether the value scenario is clear). If not, first work with the user to set the target, or explicitly declare that you're now in exploratory target-finding mode — don't pretend to make a value judgment with no target.

Analytical framework: four orthogonal dimensions

Around the current value scenario, evaluate from four mutually independent dimensions. Orthogonal means: each dimension answers a question that doesn't presuppose the others' answers, and one dimension's conclusion can't substitute for or derive another's.

DimensionQuestion it alone answersIndependent axis
Value ScenarioIn which relationship configuration is value produced? Who, in what state, in what situation, does this relationship produce a beneficial property?Location (is it there)
Value ConditionsOn what basis does this value hold? Are the preconditions supporting it still present, and will they fail over time?Foundation (is it stable)
Value TimelineWhen is value produced? Immediate, delayed, or requiring sustained accumulation? Do both sides know it's coming?Time (when)
Value DeliveryCan value be perceived, understood, and verified low-loss by the target side from the producing side? Or is it buried in the backend, unable to get out?Delivery (can it arrive)

These four dimensions correspond to four decoupled links in value's path from production to arrival at the user: where it's produced, on what basis it holds, when it's produced, how it arrives. Changing any one link doesn't presuppose the state of the others, so they are mutually independent.

This is the start of the file. Read the full SKILL.md on GitHub.

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