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| Criterion |  Product Strategy DIBB |  UX Research Affinity Diagramming |  Decision Making Assumption Surfacing |  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 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. | 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. | 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 | Low | Medium |
Timedifferent | 1-2 h | 45–90 min | 45-90 min | 45-60 min |
Participantsdifferent | 2-8 | 3-10 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Theme clusters, Insight statements, Opportunity areas | Assumption List, Critical Assumptions, Learning Plan | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | SynthesisQualitativeRoot cause | AssumptionsRiskDecisionDiscovery | AssumptionsRiskExperimentsValidation |