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| Criterion |  Facilitation Stakeholder Mapping |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |  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 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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | High | Medium | Medium |
Timedifferent | 60–90 min | 1-4 Wochen | 60-90 min | 1-5 Tage |
Participantsdifferent | 2-8 | 1-6 | 3-8 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Workshop | Async |
Outputdifferent | Stakeholder Map, Engagement Plan, Risk Notes | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | StakeholdersAlignmentFacilitationChange | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis | ValidationExperimentsDemandDiscovery |