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| Criterion |  Growth A/B Testing |  Growth Pirate Metrics AARRR |  Product Strategy KPI Tree |  Engineering Goal Question Metric |
|---|---|---|---|---|
Purposedifferent | 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. | When metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | Helps clarify technical problems, hypotheses, and next steps in concrete terms. It breaks a technical problem into testable parts. The result is captured as a GQM table and metric briefs. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-2 h Setup, laufend | 90-180 min initial, dann laufend | 90-180 min |
Participantsdifferent | 1-6 | 2-8 | 3-8 | 3-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog | KPI Tree, Owner List | GQM Table, Metric Profiles |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments | MetricsStrategyAlignmentMeasurement | MetricsMeasurementEngineeringAlignment |