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| Criterion |  UX Research Diary Study |  Product Discovery Assumption Mapping |  Growth Pirate Metrics AARRR |  Growth A/B Testing |
|---|---|---|---|---|
Purposedifferent | When experiences build up over days or weeks and a single session cannot capture them, Diary Study records the course of everyday life. Recurring triggers, moods, and habits become visible this way, beyond the sharpness of memory. | When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. | 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 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 | Medium | High |
Timedifferent | 1-4 Wochen | 45-60 min | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | 5-20 | 2-8 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Assumption map, Test backlog, Risk ranking | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | AssumptionsRiskExperimentsValidation | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation |