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| Criterion |  UX Research Card Sorting |  Decision Making Assumption Surfacing |  Product Discovery Outcome-Driven Innovation |  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. | 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. | Outcome-Driven Innovation clarifies customer problems, solution opportunities, and evidence. It separates jobs, desired outcomes, importance, satisfaction, and opportunity, and captures results as desired outcome statements, an opportunity landscape, and segments by underserved needs. | 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 | Low | High | Low |
Timedifferent | 20-45 min | 45-90 min | Mehrere Wochen | 1-2 h |
Participantsdifferent | Based on research question | 2-8 | 2-6 researchers plus sample | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Content groups, Label set, IA hypotheses | Assumption List, Critical Assumptions, Learning Plan | Desired outcome statements, Opportunity landscape, Segmentation by underserved needs, Innovation hypotheses | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Information architectureNavigationStructure | AssumptionsRiskDecisionDiscovery | OutcomesInnovationResearchQuantitative | StrategyDecisionAssumptionsHypothesis |