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| Criterion |  Operations After-Action Review |  Architecture Risk Storming |  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. | Helps clarify architecture context, options, and consequences in concrete terms. It organizes technical context, alternatives, and consequences. The result is captured as an Annotated Diagram, a Prioritized Risk List, and an Action Backlog. | 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 | Low | High | Low |
Timedifferent | 20-45 min | 60-90 min | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-12 | 4-12 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop | Async | Async |
Outputdifferent | Lessons learned, Action items, Event summary | Annotated Diagram, Prioritized Risk List, Action Backlog | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | LearningOperationsImprovement | RiskArchitectureWorkshopValidation | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |