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| Criterion |  UX Research Diary Study |  UX Research HEART Framework |  Product Discovery Smoke Test |  Growth Pirate Metrics AARRR |
|---|---|---|---|---|
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. | Helps clarify observations, needs, and patterns in concrete terms. It groups observations into patterns, questions, and decisions. The result is captured as a HEART-GSM table and dashboard. | 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. |
Complexitydifferent | Medium | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 120 min initial, dann laufend | 1-5 Tage | 1-2 h Setup, laufend |
Participantsdifferent | 5-20 | 3-6 | Nutzertraffic | 2-8 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | HEART-GSM Table, Dashboard | Interest Metrics, Conversion Signal, Learning Note | AARRR funnel, Metric baseline, Experiment backlog |
Tagsno overlap | UX researchTrackingBehavior | MetricsUX researchMeasurementSatisfaction | ValidationExperimentsDemandGrowth | GrowthMetricsExperiments |