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| Criterion |  Operations Change Analysis |  Growth A/B Testing |  Growth Pirate Metrics AARRR |
|---|---|---|---|
Purposedifferent | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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. | 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 45-120 min | 1-4 Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 2-6 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments |
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