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| Criterion |  Architecture Risk Storming |  Knowledge Modeling Shape-First Modeling |  Product Discovery Fake Door Test |  Product Discovery Learning Card |
|---|---|---|---|---|
Purposedifferent | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | 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. | 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 | Low | Medium | Medium | Low |
Timedifferent | 60-90 min | Halber Tag pro Domain Slice | 1-5 Tage | 25-40 min |
Participantsdifferent | 4-12 | 1-4 | Nutzertraffic | 1-5 |
Formatdifferent | Workshop | Workshop + async | Async | Workshop + async |
Outputdifferent | Annotated Diagram, Prioritized Risk List, Action Backlog | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Click Data, Interest Signal, Learning Decision | Learning Card with evidence and next action |
Tags1 shared | RiskArchitectureWorkshopValidation | Knowledge graphValidationSemantic | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryLearning |