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| Criterion |  Growth A/B Testing |  Operations Time Blocking |  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. | With a calendar that grows on request, the method makes available time explicit again. It combines appointments, focus work, and buffer into a more realistic day structure. | 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 | Medium |
Timedifferent | 1-4 Wochen | 15-30 min Planung, laufend | 1-5 Tage |
Participantsdifferent | 1-6 | 1 | Nutzertraffic |
Formatsame | Async | Async | Async |
Outputdifferent | Experiment results, Decision log, Learning summary | Blocked Calendar, Capacity View, Focus Plan | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | PlanningTime managementFocus | ValidationExperimentsDemandDiscovery |
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