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| Criterion |  Product Strategy Counter Metrics |  Growth Growth Experiment |  Growth A/B Testing |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment. | 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 | Low | Medium | High | Medium |
Timedifferent | 30-60 min | 1-2 Wochen | 1-4 Wochen | 1-2 h Setup, laufend |
Participantsdifferent | 2-6 | 1-6 | 1-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Counter Metric List, Guardrail Definitions | Experiment card, Result summary, Next bet | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog |
Tags1 shared | MetricsMeasurementStrategyExperiments | MarketingGrowthExperimentsLearning | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments |