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| Criterion | ![]() Growth Flywheel | ![]() Growth Pirate Metrics AARRR | ![]() Product Strategy Counter Metrics | ![]() 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 a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions. | 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 | Low | High |
Timedifferent | 60-120 min | 1-2 h Setup, laufend | 30-60 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 2-8 | 2-6 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Async |
Outputdifferent | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | AARRR funnel, Metric baseline, Experiment backlog | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary |
Tagsno overlap | GrowthRetentionConversion | GrowthMetricsExperiments | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation |



