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| Criterion |  Operations ABC Analysis |  Growth Growth Experiment |  Product Discovery Smoke Test |  Operations After-Action Review |
|---|---|---|---|---|
Purposedifferent | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 30-60 min | 1-2 Wochen | 1-5 Tage | 20-45 min |
Participantsdifferent | 1-5 | 1-6 | Nutzertraffic | 3-12 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | ABC Classification, Focus Rules, Control List | Experiment card, Result summary, Next bet | Interest Metrics, Conversion Signal, Learning Note | Lessons learned, Action items, Event summary |
Tagsno overlap | PrioritizationOperationsPortfolio | MarketingGrowthExperimentsLearning | ValidationExperimentsDemandGrowth | LearningOperationsImprovement |