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| Criterion |  Growth A/B Testing |  Product Discovery Assumption Mapping |  Operations After-Action Review |  Growth Growth Experiment |
|---|---|---|---|---|
Purposedifferent | 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 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. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 45-60 min | 20-45 min | 1-2 Wochen |
Participantsdifferent | 1-6 | 2-8 | 3-12 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking | Lessons learned, Action items, Event summary | Experiment card, Result summary, Next bet |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation | LearningOperationsImprovement | MarketingGrowthExperimentsLearning |