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| Criterion |  UX Research Affinity Diagramming |  Decision Making Pareto Analysis |  Operations Root Cause Analysis |
|---|---|---|---|
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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | 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. |
Complexitydifferent | Low | Low | Medium |
Timedifferent | 45–90 min | 30-60 min | 1-4 h |
Participantsdifferent | 3-10 | 1-6 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Pareto Chart, Top Causes, Focus List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tags1 shared | SynthesisQualitativeRoot cause | PrioritizationQualityFocusRoot cause | Root causeProblem solvingQualityIncident |
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