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| Criterion |  UX Research User Interviews |  Product Discovery Hypothesis Prioritization Canvas |  Product Strategy DIBB |  Product Discovery Test Card |
|---|---|---|---|---|
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 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. | 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. | The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success. |
Complexitydifferent | Low | Medium | Low | Low |
Timedifferent | 30–60 min per interview | 60-90 min | 1-2 h | 20-35 min |
Participantsdifferent | 1 participant per interview | 3-8 | 2-8 | 1-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Interview Notes, Themes, Insight Summary | Prioritization Canvas, Hypothesis Backlog | DIBB document, Belief list, Bet list, Learning report | Test Card with a pre-set threshold |
Tagsno overlap | QualitativeResearchCustomerDiscovery | ExperimentsPrioritizationDiscoveryHypothesis | StrategyDecisionAssumptionsHypothesis | ExperimentsValidationDiscoveryHypothesis |