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| Criterion |  Growth A/B Testing |  Product Discovery Hypothesis Prioritization Canvas |  Product Strategy GIST Planning |  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. | 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. | GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 60-90 min | Wochen bis Monate je Goal | 1-5 Tage |
Participantsdifferent | 1-6 | 3-8 | 3-10 | Nutzertraffic |
Formatdifferent | Async | Workshop | Workshop + async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Prioritization Canvas, Hypothesis Backlog | Goals, Idea bank, Step-project list, Tasks, Learning reports | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | ExperimentsPrioritizationDiscoveryHypothesis | RoadmapOutcomesPlanningExperiments | ValidationExperimentsDemandDiscovery |