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| Criterion |  Operations Scatter Diagram |  UX Research Affinity Diagramming |  UX Research Empathy Mapping |  Decision Making Pareto Analysis |
|---|---|---|---|---|
Purposedifferent | When the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data. | 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 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. | 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. |
Complexitysame | Low | Low | Low | Low |
Timedifferent | 30-90 min | 45–90 min | 30–60 min | 30-60 min |
Participantsdifferent | 1-4 | 3-10 | 4-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Theme clusters, Insight statements, Opportunity areas | Empathy Map, Assumptions List, Research Gaps | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | Root causeQualityVisualization | SynthesisQualitativeRoot cause | SynthesisQualitativeWorkshop | PrioritizationQualityFocusRoot cause |