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| Criterion |  Operations ABC Analysis |  Growth Pirate Metrics AARRR |  Growth Growth Experiment |  Growth A/B Testing |
|---|---|---|---|---|
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. | For products with complex usage paths, overall growth alone is too coarse to reveal bottlenecks. Pirate Metrics breaks the relationship with the product into consecutive stages and shows where the funnel actually leaks. | 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 | Medium | Medium | High |
Timedifferent | 30-60 min | 1-2 h Setup, laufend | 1-2 Wochen | 1-4 Wochen |
Participantsdifferent | 1-5 | 2-8 | 1-6 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | ABC Classification, Focus Rules, Control List | AARRR funnel, Metric baseline, Experiment backlog | Experiment card, Result summary, Next bet | Experiment results, Decision log, Learning summary |
Tagsno overlap | PrioritizationOperationsPortfolio | GrowthMetricsExperiments | MarketingGrowthExperimentsLearning | ExperimentsGrowthAnalyticsValidation |