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| Criterion |  Growth Pirate Metrics AARRR |  Product Strategy Counter Metrics |  Product Discovery Fake Door Test |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | 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 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 | Medium | Low | Medium | High |
Timedifferent | 1-2 h Setup, laufend | 30-60 min | 1-5 Tage | 1-4 Wochen |
Participantsdifferent | 2-8 | 2-6 | Nutzertraffic | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Counter Metric List, Guardrail Definitions | Click Data, Interest Signal, Learning Decision | Experiment results, Decision log, Learning summary |
Tags1 shared | GrowthMetricsExperiments | MetricsMeasurementStrategyExperiments | ValidationExperimentsDemandDiscovery | ExperimentsGrowthAnalyticsValidation |