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| Criterion |  Product Discovery Assumption Mapping |  Growth A/B Testing |  Knowledge Modeling Competency Questions |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. | Competency Questions translate a domain model into concrete questions that it must be able to answer. The method keeps the model's scope clean and prevents pretty but useless structures. | 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 | 45-60 min | 1-4 Wochen | 2-4 h | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 2-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop + async | Async |
Outputdifferent | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary | Competency Question Set, Required Concepts, Test Queries, Coverage Matrix | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation | OntologyKnowledge graphScopeRequirementsSemantic | ValidationExperimentsDemandGrowth |