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| Criterion |  UX Research Diary Study |  Growth Pirate Metrics AARRR |  Growth Flywheel |  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. | 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. | Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth. | 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 | 1-2 h Setup, laufend | 60-120 min | 1-4 Wochen |
Participantsdifferent | 5-20 | 2-8 | 3-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | AARRR funnel, Metric baseline, Experiment backlog | Flywheel Map, Friction Points, Growth Levers, Experiment Backlog | Experiment results, Decision log, Learning summary |
Tagsno overlap | UX researchTrackingBehavior | GrowthMetricsExperiments | GrowthRetentionConversion | ExperimentsGrowthAnalyticsValidation |