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| Criterion |  UX Research User Interviews |  Product Strategy DIBB |  Product Discovery Hypothesis Prioritization Canvas |
|---|---|---|---|
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. | 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. | When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog. |
Complexitydifferent | Low | Low | Medium |
Timedifferent | 30–60 min per interview | 1-2 h | 60-90 min |
Participantsdifferent | 1 participant per interview | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Interview Notes, Themes, Insight Summary | DIBB document, Belief list, Bet list, Learning report | Prioritization Canvas, Hypothesis Backlog |
Tagsno overlap | QualitativeResearchCustomerDiscovery | StrategyDecisionAssumptionsHypothesis | ExperimentsPrioritizationDiscoveryHypothesis |
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