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| Criterion |  UX Research User Interviews |  Decision Making Decision Tree |  Product Discovery Fake Door Test |  Product Discovery MVP Test Matrix |
|---|---|---|---|---|
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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | 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. | When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30–60 min per interview | 30-90 min | 1-5 Tage | 45-75 min |
Participantsdifferent | 1 participant per interview | 1-6 | Nutzertraffic | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | Decision Tree, Option Map, Assumption List | Click Data, Interest Signal, Learning Decision | Test Matrix, Test Plan |
Tagsno overlap | QualitativeResearchCustomerDiscovery | DecisionTreeOptions | ValidationExperimentsDemandDiscovery | ExperimentsValidationDiscoveryOptions |