Layers Conceptual Model

jamiemill/layers-skills/skills/layers-conceptual-model

作者 jamiemilla201dc8c2011無授權條款307 個星標收錄於 2026年10月8日更新於 2026年10月8日儲存庫4 個月前更新

Techniques for defining the product's objects, relationships, states, and vocabulary independently of any interface — the most load-bearing layer

僅含說明Design & Creative
AI 產生的概覽

一套用於定義產品概念模型(物件、關係、狀態與詞彙)的技術庫。

功能
此技能提供一組技術與準則,用於獨立於任何介面來定義產品的概念模型。它涵蓋辨識物件、物件之間的關係、動作、狀態與詞彙,並提供名詞採集、物件定義、關係圖、狀態圖與動作清單等方法。其產出包括已確定的物件定義、圖表、詞彙決策與待解決問題,並會標記暫定項目。
適用情境
當產品所辨識的物件、它們的關係、狀態或詞彙確實是待定決策時使用。它適用於需要在介面或流程設計之前明確領域模型的设计工作。若這些決策並非真正開放,則無需使用。
執行需求
無需指令碼或工具,僅為說明性技能。它假定已載入相關的 /layers-intro 技能。

/layers-conceptual-model

Assumes /layers-intro has been loaded. This skill is a library of techniques, not a script — see "How to use these skills" there.

The conceptual model is the most neglected load-bearing layer. It defines the objects the product recognises, how they relate, what states they can be in, and the vocabulary for all of it — a deliberate decision about how the product models its domain, independent of any interface.

It is not the users' messy mental model (that's the domain layer), and not a database schema, wireframe, or flow. But the gap between this model and what engineers build matters: a large, unexamined gap is both UX debt (users meet a product that contradicts the model) and technical debt (the system is hard to evolve).


The decisions this layer makes

  • What objects the product recognises, and where each object's boundary is
  • How those objects relate — cardinality, and named roles where an object plays several
  • What a user can do to or with each object
  • What states an object can be in, and which transitions matter
  • The product's vocabulary — one name per concept, one concept per name

If none of these is genuinely open, you may not need this layer right now. Say so rather than working it for the sake of it.


Disciplines — what keeps the model honest

Apply these to whatever you produce, in any order. They are the high-value part of this layer.

  • Real objects only. A true object is instanceable (you can have many), structured (has its own attributes), and useful (the user cares about it in its own right). This catches two errors: an attribute promoted to an object, and — more often — instances mistaken for objects: "CAC" and "ROAS" aren't objects, they're instances of one object, Metric. When several nouns are of-a-kind, model the type as the object; the specific names are instances or values.
  • Attributes that are really relationships. If an attribute is just the name or ID of another object in the model, model it as a relationship — don't duplicate it.
  • Name the role when an object plays several. "belongs to one User (as referrer)", not "belongs to one User."
  • No speculative additions. Every object, attribute, action, and relationship should trace to a stated user need. Scope creep here propagates through every layer above. (Tracing to strategy vocabulary doesn't count — strategy words aren't yet objects.)
  • Can-be-an-object ≠ should-be-first-class. The "real objects only" test tells you something can be an object — not that the product should commit to it as a first-class, persistent, stateful entity. That elevation is a design bet with a cost. Justify it by concrete use: what flow or job forces this thing to persist, hold state, and be returned to? If nothing does, it's transient, or it's premature. And when an object exists only because of an unvalidated strategy bet, mark it provisional — model it as a hypothesis, don't "lock" it, and don't build the layer above on it until the bet is tested.
  • Verb precision. Does a generic verb (Edit, Delete, Update) hide operations with different real-world consequences? "Edit address" conflates correcting a typo (overwrite is fine) with recording a house move (which should preserve history). When a generic verb could mean genuinely different things, name the operations separately — "Correct address" vs "Register change of address" isn't verbose, it's precise.
  • Implementation is not design. When talk drifts to how something is stored, generated, or computed, redirect to what the user can do and what happens to things that referenced it. Flag genuinely entangled questions for an engineering conversation rather than forcing a premature answer.

Techniques

Pick the one that fits the live decision — don't run them all.

TechniqueUse it to
Noun foraging + OOUX (Sophia Prater)Extract objects from research or domain notes. The default when you have naturalistic language to mine. Sort nouns into objects / attributes / instances-or-values / set-aside (UI elements, vague abstractions, actions dressed as nouns), using the "real objects only" test above.
Object definitionPin down one object: what it is (one sentence, the user's view), its attributes, its relationships (cardinality + role names), and its actions.
Sketch the flow first (push forward, pull back)Objecthood is uncertain — whether something should be a persistent object depends on how it's used. Breadboard the flow (/layers-interaction-flow) to see what must persist, hold state, or be returned to, then come back and formalise only those. Often the fastest way to tell a real object from a transient one.
Relational object map (erDiagram)See objects and relationships together and catch missing, reversed, or spurious connections. ||=exactly one, o{=zero-or-many, |{=one-or-many; crow's foot on the many side; labels read first entity → second.
State transition diagram (stateDiagram-v2)For an object whose status changes what users can do — name the states, the transitions, and what each state forbids.
Action (CTA) inventoryList every action a user can take, across all objects, in one place — the product's call-to-action vocabulary. Listing them together (not object by object) is what exposes inconsistency (Add vs Create vs New for one operation) and over-flattening (one verb hiding distinct operations).
Ubiquitous language listResolve naming. For each contested concept: the chosen term, rejected alternatives, and why. One name per concept, one concept per name — in UI, help text, API names, and internal talk alike.
Semantic IxD / action grammar (Rosenberg)Audit verb consistency and precision across many actions and objects.
Event storming — commands/policies (Brandolini)Process-heavy domain: start from what happens, work back to the objects involved.
Card sortingVocabulary is unclear or contested across users or teams.
Walking the existing productRedesign: the current UI reveals the implicit model — compare it to how users actually think.

Also probe the temporal decisions from /layers-intro — intermediate action states, read-model lag, relationship temporality, deletion semantics, history — for any object where they bite.


Working with the designer

Find which of the decisions above are live. Offer the technique that fits: noun foraging if there's material to mine, walking the product if redesigning, or straight to object definition if the objects are known and only their shape is open. Do the next useful thing, not the whole toolkit.

Capture only the residue — the object definitions that got settled (and which are still provisional, pending a bet or a flow), any diagram that encodes a real relationship or lifecycle, the vocabulary calls, and the open questions (objects that felt thin, decisions deferred to engineering). Don't write a report the designer won't reread.

If domain work hasn't been done, say plainly: this model is a hypothesis until there's evidence.

When the objects and actions are stable, the natural next move is to design how users move through them — /layers-interaction-flow.

來源與署名

來源:jamiemill/layers-skills位於skills/layers-conceptual-model提交a201dc8

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