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| Criterion |  UX Research Diary Study |  Product Discovery Smoke Test |  Product Strategy KPI Tree |  Product Discovery Fake Door Test |
|---|---|---|---|---|
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. | 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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 1-4 Wochen | 1-5 Tage | 90-180 min initial, dann laufend | 1-5 Tage |
Participantsdifferent | 5-20 | Nutzertraffic | 3-8 | Nutzertraffic |
Formatdifferent | Async | Async | Workshop + async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Interest Metrics, Conversion Signal, Learning Note | KPI Tree, Owner List | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | UX researchTrackingBehavior | ValidationExperimentsDemandGrowth | MetricsStrategyAlignmentMeasurement | ValidationExperimentsDemandDiscovery |