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| Criterion |  Business Strategy Value Chain Analysis |  Product Discovery Fake Door Test |  Product Discovery Smoke Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. | When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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. | 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 | High | Medium | Low | High |
Timedifferent | Half day | 1-5 Tage | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 3-8 | Nutzertraffic | Nutzertraffic | 1-6 |
Formatdifferent | Workshop | Async | Async | Async |
Outputdifferent | Value Chain Map, Lever List | Click Data, Interest Signal, Learning Decision | Interest Metrics, Conversion Signal, Learning Note | Experiment results, Decision log, Learning summary |
Tagsno overlap | StrategyBusiness modelDiagnosisAnalysis | ValidationExperimentsDemandDiscovery | ValidationExperimentsDemandGrowth | ExperimentsGrowthAnalyticsValidation |