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| Criterion |  UX Research Affinity Diagramming |  Decision Making Eisenhower Matrix |  Operations Root Cause Analysis |  Decision Making Pareto 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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. | 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. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 45–90 min | 15-30 min | 1-4 h | 30-60 min |
Participantsdifferent | 3-10 | 1-6 | 3-8 | 1-6 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Eisenhower Matrix, Action List, Delegation Notes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | SynthesisQualitativeRoot cause | PrioritizationFocusTasks | Root causeProblem solvingQualityIncident | PrioritizationQualityFocusRoot cause |