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| Criterion |  Knowledge Modeling Shape-First Modeling |  Architecture Architecture Decision Record |  Product Discovery Fake Door Test |  Product Discovery Learning Card |
|---|---|---|---|---|
Purposedifferent | Shape-First Modeling defines data quality through shapes before implementation or integration frays at the edges. The approach fits when validation and data contracts should be part of the design from the start. | An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible. |
Complexitydifferent | Medium | Low | Medium | Low |
Timedifferent | Halber Tag pro Domain Slice | 15-45 min | 1-5 Tage | 25-40 min |
Participantsdifferent | 1-4 | 1-3 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop + async | Async | Async | Workshop + async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | ADR File, Decision Log, Rationale | Click Data, Interest Signal, Learning Decision | Learning Card with evidence and next action |
Tagsno overlap | Knowledge graphValidationSemantic | ArchitectureRationaleDocumentationGovernance | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryLearning |