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| Criterion |  Knowledge Modeling Shape-First Modeling |  Architecture Risk Storming |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
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. | 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. | 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. | 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. |
Complexitydifferent | Medium | Low | High | Low |
Timedifferent | Halber Tag pro Domain Slice | 60-90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-4 | 4-12 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Annotated Diagram, Prioritized Risk List, Action Backlog | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tags1 shared | Knowledge graphValidationSemantic | RiskArchitectureWorkshopValidation | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |