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| Criterion |  Growth Flywheel |  Growth Pirate Metrics AARRR |  Product Strategy KPI Tree |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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. | 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 | Medium | Medium | Medium | High |
Timedifferent | 60-120 min | 1-2 h Setup, laufend | 90-180 min initial, dann laufend | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 3-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | AARRR funnel, Metric baseline, Experiment backlog | KPI Tree, Owner List | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthRetentionConversion | GrowthMetricsExperiments | MetricsStrategyAlignmentMeasurement | ExperimentsGrowthAnalyticsValidation |