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| Criterion |  UX Research Card Sorting |  Product Discovery Problem Interview |  Decision Making Assumption Surfacing |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations. | 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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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 | Low |
Timedifferent | 20-45 min | 30-60 min je Interview | 45-90 min | 1-2 h |
Participantsdifferent | Based on research question | 5-12 Interviews | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Content groups, Label set, IA hypotheses | Problem Evidence, Risk Notes, Customer Segments | Assumption List, Critical Assumptions, Learning Plan | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Information architectureNavigationStructure | DiscoveryInterviewsValidation | AssumptionsRiskDecisionDiscovery | StrategyDecisionAssumptionsHypothesis |