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| Criterion |  Growth Pirate Metrics AARRR |  Product Discovery Hypothesis Prioritization Canvas |  Product Strategy Counter Metrics |  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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. | 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 | 1-2 h Setup, laufend | 60-90 min | 30-60 min | 1-4 Wochen |
Participantsdifferent | 2-8 | 3-8 | 2-6 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Async |
Outputdifferent | AARRR funnel, Metric baseline, Experiment backlog | Prioritization Canvas, Hypothesis Backlog | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary |
Tags1 shared | GrowthMetricsExperiments | ExperimentsPrioritizationDiscoveryHypothesis | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation |