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| Criterion |  Operations After-Action Review |  Business Strategy Ansoff Matrix |  Growth Growth Experiment |  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. | The Ansoff Matrix organizes growth options by market and product relation. It helps weigh expansion, diversification, and adaptation cleanly against each other. | When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | Low | Medium | High |
Timedifferent | 20-45 min | 45-90 min | 1-2 Wochen | 1-4 Wochen |
Participantsdifferent | 3-12 | 2-8 | 1-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Lessons learned, Action items, Event summary | Ansoff Matrix, Growth Options, Risk Notes | Experiment card, Result summary, Next bet | Experiment results, Decision log, Learning summary |
Tagsno overlap | LearningOperationsImprovement | GrowthStrategyMarketPortfolio | MarketingGrowthExperimentsLearning | ExperimentsGrowthAnalyticsValidation |