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| Criterion | ![]() UX Research User Interviews | ![]() Decision Making Decision Tree | ![]() 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. | 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. |
Complexitydifferent | Low | Medium | Medium |
Timedifferent | 30–60 min per interview | 30-90 min | 1-5 Tage |
Participantsdifferent | 1 participant per interview | 1-6 | Nutzertraffic |
Formatdifferent | Workshop + async | Workshop + async | Async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Decision Tree, Option Map, Assumption List | Click Data, Interest Signal, Learning Decision |
Tagsno overlap | QualitativeResearchCustomerDiscovery | DecisionTreeOptions | ValidationExperimentsDemandDiscovery |
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