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| Criterion |  Growth Growth Experiment |  Operations A3 Problem Solving |  Operations After-Action Review |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. | 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. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-2 Wochen | 45-90 min | 20-45 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 2-5 | 3-12 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Experiment card, Result summary, Next bet | A3 Report, Action Plan, Root Cause Analysis | Lessons learned, Action items, Event summary | Experiment results, Decision log, Learning summary |
Tagsno overlap | MarketingGrowthExperimentsLearning | LeanProblem solvingCoachingOperations | LearningOperationsImprovement | ExperimentsGrowthAnalyticsValidation |