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| Criterion |  Facilitation Stakeholder Mapping |  Product Discovery Experiment Canvas |  Growth A/B Testing |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | When an initiative depends on many people, interests, and power dynamics, Stakeholder Mapping systematically orders the environment. It shows who influences, who is affected, and where relationship management or safeguarding matters first. | When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | 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 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 | Low | Low | High | Medium |
Timedifferent | 60–90 min | 30-60 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 2-8 | 1-5 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Stakeholder Map, Engagement Plan, Risk Notes | Completed Experiment Canvas, Success Metric | Experiment results, Decision log, Learning summary | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | StakeholdersAlignmentFacilitationChange | ExperimentsValidationDiscoveryHypothesis | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandDiscovery |