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| Criterion |  UX Research Diary Study |  Product Discovery Smoke Test |  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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all. | 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 | Low | Medium | High |
Timedifferent | 1-4 Wochen | 1-5 Tage | 1-2 h Setup, laufend | 1-4 Wochen |
Participantsdifferent | 5-20 | Nutzertraffic | 2-8 | 1-6 |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Interest Metrics, Conversion Signal, Learning Note | AARRR funnel, Metric baseline, Experiment backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | ValidationExperimentsDemandGrowth | GrowthMetricsExperiments | ExperimentsGrowthAnalyticsValidation |