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| Criterion |  UX Research User Interviews |  Product Discovery Opportunity Solution Tree |  Product Strategy DIBB |
|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. |
Complexitydifferent | Low | Medium | Low |
Timedifferent | 30–60 min per interview | 1-2 h Setup, laufend | 1-2 h |
Participantsdifferent | 1 participant per interview | 2-6 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Opportunity Solution Tree, Experiment Backlog, Learning Log | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | QualitativeResearchCustomerDiscovery | DiscoveryOutcomesExperimentsOpportunity | StrategyDecisionAssumptionsHypothesis |
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