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| Criterion |  Operations After-Action Review |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|
Purposedifferent | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. |
Complexitydifferent | Low | High | Low |
Timedifferent | 20-45 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-12 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async |
Outputdifferent | Lessons learned, Action items, Event summary | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | LearningOperationsImprovement | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |
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