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| Criterion |  Growth A/B Testing |  Operations Change Analysis |  Decision Making Assumption Surfacing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 45-120 min | 45-90 min | 1-5 Tage |
Participantsdifferent | 1-6 | 2-6 | 2-8 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Assumption List, Critical Assumptions, Learning Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | ChangeRoot causeTroubleshootingComparison | AssumptionsRiskDecisionDiscovery | ValidationExperimentsDemandDiscovery |