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| Criterion |  UX Research Diary Study |  Product Discovery Opportunity Solution Tree |  Operations ALPEN Method |  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 discovery keeps swinging between goals, ideas, and learning loops, it creates clear steering logic. It connects the desired outcome, opportunities, and experiments into a legible structure. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 1-2 h Setup, laufend | 10-20 min daily | 1-5 Tage |
Participantsdifferent | 5-20 | 2-6 | 1 | Nutzertraffic |
Formatdifferent | Async | Workshop + async | Async | Async |
Outputdifferent | Diary Entries, Longitudinal Patterns, Experience Timeline | Opportunity Solution Tree, Experiment Backlog, Learning Log | Daily Plan, Time Estimates, Review Notes | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | UX researchTrackingBehavior | DiscoveryOutcomesExperimentsOpportunity | PlanningTime managementProductivityOperations | ValidationExperimentsDemandDiscovery |