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| Criterion |  Operations After-Action Review |  Domain Modeling Context Map |  Product Discovery Assumption Mapping |  Growth A/B Testing |
|---|---|---|---|---|
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 several contexts need to talk to each other, it makes their relationships and dependencies legible. It helps sort integration pressure and responsibilities across system boundaries. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 20-45 min | 1-3 h | 45-60 min | 1-4 Wochen |
Participantsdifferent | 3-12 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Lessons learned, Action items, Event summary | Context Map, Integration Patterns, Boundary Notes | Assumption map, Test backlog, Risk ranking | Experiment results, Decision log, Learning summary |
Tagsno overlap | LearningOperationsImprovement | Domain-Driven DesignBoundariesStrategy | AssumptionsRiskExperimentsValidation | ExperimentsGrowthAnalyticsValidation |