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| Criterion |  UX Research User Interviews |  Product Discovery Experiment Canvas |  Decision Making DACI |  Product Discovery Fake Door Test |
|---|---|---|---|---|
Purposedifferent | 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 experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric. | In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated. | 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 | Low | Low | Low | Medium |
Timedifferent | 30–60 min per interview | 30-60 min | 30-60 min | 1-5 Tage |
Participantsdifferent | 1 participant per interview | 1-5 | 2-10 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Completed Experiment Canvas, Success Metric | DACI Matrix, Decision Owner, Decision Log | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | QualitativeResearchCustomerDiscovery | ExperimentsValidationDiscoveryHypothesis | DecisionRolesGovernanceAlignment | ValidationExperimentsDemandDiscovery |