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| Criterion |  Knowledge Modeling Shape-First Modeling |  Product Discovery Smoke Test |  Architecture arc42 |  Growth A/B Testing |
|---|---|---|---|---|
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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | arc42 structures architecture knowledge so teams can document system, decisions, and risks consistently. The template builds a living understanding of the architecture instead of scattered notes. | 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 | Medium | Low | Low | High |
Timedifferent | Halber Tag pro Domain Slice | 1-5 Tage | 1-2 Tage | 1-4 Wochen |
Participantsdifferent | 1-4 | Nutzertraffic | 1-4 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Interest Metrics, Conversion Signal, Learning Note | Architecture Document, Context View, Runtime View, Deployment View | Experiment results, Decision log, Learning summary |
Tagsno overlap | Knowledge graphValidationSemantic | ValidationExperimentsDemandGrowth | ArchitectureDocumentationCommunication | ExperimentsGrowthAnalyticsValidation |