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| Criterion |  Growth A/B Testing |  Product Discovery Experiment Canvas |  UX Research First-click Testing |  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 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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together. | 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 | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 30-60 min | 1-2 Tage | 1-5 Tage |
Participantsdifferent | 1-6 | 1-5 | 10-30 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Completed Experiment Canvas, Success Metric | Click Heatmap, Success Rate, Design Recommendations | Click Data, Interest Signal, Learning Decision |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | ExperimentsValidationDiscoveryHypothesis | UXNavigationFindabilityValidation | ValidationExperimentsDemandDiscovery |