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| Criterion |  Operations After-Action Review |  Growth A/B Testing |  Operations ABC Analysis |  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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 | Low |
Timedifferent | 20-45 min | 1-4 Wochen | 30-60 min | 1-5 Tage |
Participantsdifferent | 3-12 | 1-6 | 1-5 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | Lessons learned, Action items, Event summary | Experiment results, Decision log, Learning summary | ABC Classification, Focus Rules, Control List | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | LearningOperationsImprovement | ExperimentsGrowthAnalyticsValidation | PrioritizationOperationsPortfolio | ValidationExperimentsDemandGrowth |