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| Criterion |  UX Research Tree Testing |  Product Strategy Counter Metrics |  Growth A/B Testing |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
Purposedifferent | When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination. | 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. | 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 | Medium | Low | High | Medium |
Timedifferent | 1-2 Tage | 30-60 min | 1-4 Wochen | 1-2 h Setup, laufend |
Participantsdifferent | Based on research question | 2-6 | 1-6 | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Findability Metrics, Path Analysis, Revised IA | Counter Metric List, Guardrail Definitions | Experiment results, Decision log, Learning summary | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | Information architectureNavigationFindability | MetricsMeasurementStrategyExperiments | ExperimentsGrowthAnalyticsValidation | GrowthMetricsExperiments |