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| Criterion |  Operations Scatter Diagram |  UX Research Affinity Diagramming |  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. | 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 |
Timedifferent | 30-90 min | 45–90 min | 30-60 min |
Participantsdifferent | 1-4 | 3-10 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Theme clusters, Insight statements, Opportunity areas | Pareto Chart, Top Causes, Focus List |
Tags1 shared | Root causeQualityVisualization | SynthesisQualitativeRoot cause | PrioritizationQualityFocusRoot cause |
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