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| Criterion |  Growth A/B Testing |  UX Design Lean UX Canvas |  Product Discovery Fake Door Test |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|---|
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. | The Lean UX Canvas helps clarify user behavior, touchpoints, and concept decisions. It makes assumptions and desired outcomes visible and captures the result as a completed canvas, hypothesis list, and first experiment. | 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 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 2-3 h | 1-5 Tage | 60-90 min |
Participantsdifferent | 1-6 | 3-8 | Nutzertraffic | 3-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | Completed Lean UX Canvas, Hypothesis list, First experiment | Click Data, Interest Signal, Learning Decision | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | CanvasHypothesisOutcomesDiscovery | ValidationExperimentsDemandDiscovery | ExperimentsPrioritizationDiscoveryHypothesis |