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| Criterion |  Growth A/B Testing |  Decision Making Three-Point Estimation |  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. | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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 | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 10-30 min je Item | 30-60 min | 1-2 h Setup, laufend |
Participantsdifferent | 1-6 | 1-8 | 2-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Experiment results, Decision log, Learning summary | Three-Point Estimate, Risk Range, Assumption Notes | Counter Metric List, Guardrail Definitions | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | ExperimentsGrowthAnalyticsValidation | EstimationUncertaintyForecasting | MetricsMeasurementStrategyExperiments | GrowthMetricsExperiments |