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| Criterion |  UX Research Diary Study |  Product Strategy KPI Tree |  Growth A/B Testing |  UX Research HEART Framework |
|---|---|---|---|---|
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 metrics across the organization drift apart, it arranges drivers and effects under one shared logic. It connects customer value, product logic, and decision priorities. The result is captured as a KPI tree and owner list. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 1-4 Wochen | 90-180 min initial, dann laufend | 1-4 Wochen | 120 min initial, dann laufend |
Participantsdifferent | 5-20 | 3-8 | 1-6 | 3-6 |
Formatdifferent | Async | Workshop + async | Async | Workshop + async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | KPI Tree, Owner List | Experiment results, Decision log, Learning summary | HEART-GSM Table, Dashboard |
Tagsno overlap | UX researchTrackingBehavior | MetricsStrategyAlignmentMeasurement | ExperimentsGrowthAnalyticsValidation | MetricsUX researchMeasurementSatisfaction |