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| Criterion |  Product Discovery Opportunity Solution Tree |  UX Research User Interviews |  Product Discovery Jobs to Be Done |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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. | When teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible. | When switching motives and progress are unclear, it reconstructs the situation from real customer circumstances. It shows why a switch happens and what kind of progress is being sought. | 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 | 1-2 h Setup, laufend | 30–60 min per interview | 1-3 Wochen | 1-5 Tage |
Participantsdifferent | 2-6 | 1 participant per interview | 5-12 Interviews | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Themes, Insight Summary | Job Stories, Outcome Statements, Opportunity List | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | DiscoveryOutcomesExperimentsOpportunity | QualitativeResearchCustomerDiscovery | CustomerOutcomesNeeds | ValidationExperimentsDemandDiscovery |