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| Criterion |  UX Research HEART Framework |  UX Research Diary Study |  Growth A/B Testing |  Product Discovery Smoke Test |
|---|---|---|---|---|
Purposedifferent | 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 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 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. | 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 120 min initial, dann laufend | 1-4 Wochen | 1-4 Wochen | 1-5 Tage |
Participantsdifferent | 3-6 | 5-20 | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Async | Async | Async |
Outputdifferent | HEART-GSM Table, Dashboard | Diary Entries, Longitudinal Patterns, Experience Timeline | Experiment results, Decision log, Learning summary | Interest Metrics, Conversion Signal, Learning Note |
Tagsno overlap | MetricsUX researchMeasurementSatisfaction | UX researchTrackingBehavior | ExperimentsGrowthAnalyticsValidation | ValidationExperimentsDemandGrowth |