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| Criterion | ![]() Product Strategy DIBB | ![]() UX Research Card Sorting | ![]() Product Discovery Assumption Mapping |
|---|---|---|---|
Purposedifferent | 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 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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first. |
Complexitydifferent | Low | Low | Medium |
Timedifferent | 1-2 h | 20-45 min | 45-60 min |
Participantsdifferent | 2-8 | Based on research question | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Content groups, Label set, IA hypotheses | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | Information architectureNavigationStructure | AssumptionsRiskExperimentsValidation |
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