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| Criterion |  Knowledge Modeling Concept Mapping |  Knowledge Modeling Shape-First Modeling |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | 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. | 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 | Medium | High | Low |
Timedifferent | 1-2 h | Halber Tag pro Domain Slice | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 1-8 | 1-4 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | SHACL or ShEx Shapes, Validation Reports, Data Contracts, Shape Documentation | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | Knowledge graphValidationSemantic | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |