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| Criterion |  Decision Making Decision Tree |  UX Research User Interviews |  Product Discovery Opportunity Solution Tree |  Product Discovery Opportunity Interview |
|---|---|---|---|---|
Purposedifferent | 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 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 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 opportunities are still hidden behind signals of need, it structures conversations around needs and obstacles. It looks for patterns that lead to new product opportunities. |
Complexitydifferent | Medium | Low | Medium | Medium |
Timedifferent | 30-90 min | 30–60 min per interview | 1-2 h Setup, laufend | 30-60 min je Interview |
Participantsdifferent | 1-6 | 1 participant per interview | 2-6 | 5-12 Interviews |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | Interview Notes, Opportunity Themes, Customer Quotes |
Tagsno overlap | DecisionTreeOptions | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | DiscoveryInterviewsOpportunityCustomer |