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| Criterion | ![]() Product Strategy DIBB | ![]() UX Research Affinity Diagramming | ![]() 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. | 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 | 45–90 min | 45-60 min |
Participantsdifferent | 2-8 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | DIBB document, Belief list, Bet list, Learning report | Theme clusters, Insight statements, Opportunity areas | Assumption map, Test backlog, Risk ranking |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | SynthesisQualitativeRoot cause | AssumptionsRiskExperimentsValidation |
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