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| Criterion |  Product Strategy DIBB |  UX Research Affinity Diagramming |  Operations Root Cause Analysis |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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 a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | 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 | Medium | High |
Timedifferent | 1-2 h | 45–90 min | 1-4 h | 2-8 h |
Participantsdifferent | 2-8 | 3-10 | 3-8 | 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 | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | StrategyDecisionAssumptionsHypothesis | SynthesisQualitativeRoot cause | Root causeProblem solvingQualityIncident | Problem solvingRoot causeDecisionOperations |