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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Product Strategy DIBB | ![]() Operations 5 Whys |
|---|---|---|---|
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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitysame | Low | Low | Low |
Timedifferent | 45–90 min | 1-2 h | 15-30 min |
Participantsdifferent | 3-10 | 2-8 | 2-6 |
Formatdifferent | Workshop | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | DIBB document, Belief list, Bet list, Learning report | Root cause notes, Countermeasures |
Tagsno overlap | SynthesisQualitativeRoot cause | StrategyDecisionAssumptionsHypothesis | Root causeIncidentLeanProblem solving |
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