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| Criterion |  Product Strategy Counter Metrics |  Growth Pirate Metrics AARRR |  Product Discovery Fake Door Test |  Growth A/B Testing |
|---|---|---|---|---|
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. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. | 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 | Low | Medium | Medium | High |
Timedifferent | 30-60 min | 1-2 h Setup, laufend | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-6 | 2-8 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | Counter Metric List, Guardrail Definitions | AARRR funnel, Metric baseline, Experiment backlog | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tags1 shared | MetricsMeasurementStrategyExperiments | GrowthMetricsExperiments | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |