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| Criterion |  UX Research User Interviews |  Product Discovery Opportunity Solution Tree |  Decision Making Trade-off Analysis |  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. | 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | 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 | 1-2 h Setup, laufend | 45-120 min | 45-75 min |
Participantsdifferent | 1 participant per interview | 2-6 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Test Matrix, Test Plan |
Tagsno overlap | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | TradeoffsDecisionCriteriaOptions | ExperimentsValidationDiscoveryOptions |