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| Criterion |  Operations PDCA Cycle |  Growth Pirate Metrics AARRR |  Growth A/B Testing |  Product Discovery Assumption Mapping |
|---|---|---|---|---|
Purposedifferent | For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode. | 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 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. |
Complexitydifferent | Low | Medium | High | Medium |
Timedifferent | 1 h bis mehrere Wochen | 1-2 h Setup, laufend | 1-4 Wochen | 45-60 min |
Participantsdifferent | 1-8 | 2-8 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | PDCA Log, Experiment Plan, Learning Outcome, Standard Change | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary | Assumption map, Test backlog, Risk ranking |
Tags1 shared | Continuous improvementLeanExperiments | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation | AssumptionsRiskExperimentsValidation |