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| Criterion |  Knowledge Modeling Shape-First Modeling |  Growth A/B Testing |  Architecture Architecture Decision Record |  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. | 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. | 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 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 | High | Low | Low |
Timedifferent | Halber Tag pro Domain Slice | 1-4 Wochen | 15-45 min | 1-5 Tage |
Participantsdifferent | 1-4 | 1-6 | 1-3 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Experiment results, Decision log, Learning summary | ADR File, Decision Log, Rationale | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Knowledge graphValidationSemantic | ExperimentsGrowthAnalyticsValidation | ArchitectureRationaleDocumentationGovernance | ValidationExperimentsDemandGrowth |