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| Criterion |  Growth A/B Testing |  Product Discovery Smoke Test |  Product Strategy Counter Metrics |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | 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. | When demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | 30-60 min | 1-2 h Setup, laufend |
Participantsdifferent | 1-6 | Nutzertraffic | 2-6 | 2-8 |
Formatdifferent | Async | Async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note | Counter Metric List, Guardrail Definitions | AARRR funnel, Metric baseline, Experiment backlog |
Tags1 shared | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth | MetricsMeasurementStrategyExperiments | GrowthMetricsExperiments |