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| Criterion |  Operations Scatter Diagram |  Operations Root Cause Analysis |  UX Research Affinity Diagramming |
|---|---|---|---|
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 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. | 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. |
Complexitydifferent | Low | Medium | Low |
Timedifferent | 30-90 min | 1-4 h | 45–90 min |
Participantsdifferent | 1-4 | 3-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Theme clusters, Insight statements, Opportunity areas |
Tags1 shared | Root causeQualityVisualization | Root causeProblem solvingQualityIncident | SynthesisQualitativeRoot cause |
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