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| Criterion |  Architecture Risk Storming |  Knowledge Modeling Shape-First Modeling |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
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 only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects. |
Complexitydifferent | Low | Medium | Low | High |
Timedifferent | 60-90 min | Halber Tag pro Domain Slice | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 4-12 | 1-4 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Workshop + async | Async | Async |
Outputdifferent | Annotated Diagram, Prioritized Risk List, Action Backlog | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tags1 shared | RiskArchitectureWorkshopValidation | Knowledge graphValidationSemantic | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |