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| Criterion | ![]() UX Research Affinity Diagramming | ![]() Decision Making Eisenhower Matrix | ![]() Decision Making Pareto Analysis | ![]() UX Research Empathy Mapping |
|---|---|---|---|---|
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. | 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 lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 45–90 min | 15-30 min | 30-60 min | 30–60 min |
Participantsdifferent | 3-10 | 1-6 | 1-6 | 4-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Eisenhower Matrix, Action List, Delegation Notes | Pareto Chart, Top Causes, Focus List | Empathy Map, Assumptions List, Research Gaps |
Tagsno overlap | SynthesisQualitativeRoot cause | PrioritizationFocusTasks | PrioritizationQualityFocusRoot cause | SynthesisQualitativeWorkshop |



