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| Criterion |  Knowledge Modeling Shape-First Modeling |  Growth A/B Testing |  Architecture Architecture Communication Canvas |  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. | The Architecture Communication Canvas plans architecture communication so the right people receive the right message. The method turns technical complexity into deliberate communication design. | 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 | Medium | Low |
Timedifferent | Halber Tag pro Domain Slice | 1-4 Wochen | 60-120 min | 1-5 Tage |
Participantsdifferent | 1-4 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Experiment results, Decision log, Learning summary | Communication Canvas, Stakeholder Messages, Architecture Communication Plan | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | Knowledge graphValidationSemantic | ExperimentsGrowthAnalyticsValidation | ArchitectureCommunicationStakeholdersCanvas | ValidationExperimentsDemandGrowth |