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| Criterion |  UX Research Affinity Diagramming |  Product Strategy DIBB |  Operations Kepner-Tregoe |
|---|---|---|---|
Purposedifferent | 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. | 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. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Low | Low | High |
Timedifferent | 45–90 min | 1-2 h | 2-8 h |
Participantsdifferent | 3-10 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | DIBB document, Belief list, Bet list, Learning report | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | SynthesisQualitativeRoot cause | StrategyDecisionAssumptionsHypothesis | Problem solvingRoot causeDecisionOperations |
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