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| Criterion |  Product Discovery Problem Interview |  UX Research Affinity Diagramming |  Product Strategy DIBB |
|---|---|---|---|
Purposedifferent | When the picture of the problem still needs to become solid, it asks about real situations and consequences. It separates genuine suffering from mere interest in a solution. | When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer. | 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 | Medium | Low | Low |
Timedifferent | 30-60 min je Interview | 45–90 min | 1-2 h |
Participantsdifferent | 5-12 Interviews | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Problem Evidence, Risk Notes, Customer Segments | Theme clusters, Insight statements, Opportunity areas | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | DiscoveryInterviewsValidation | SynthesisQualitativeRoot cause | StrategyDecisionAssumptionsHypothesis |
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