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| Criterion |  Operations Scatter Diagram |  UX Research Affinity Diagramming |  Operations Fishbone Diagram |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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 problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Low | Low | Low | High |
Timedifferent | 30-90 min | 45–90 min | 30-60 min | 2-8 h |
Participantsdifferent | 1-4 | 3-10 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Theme clusters, Insight statements, Opportunity areas | Fishbone Diagram, Cause Categories, Investigation Backlog | Problem Analysis, Decision Analysis, Risk Plan |
Tags1 shared | Root causeQualityVisualization | SynthesisQualitativeRoot cause | Root causeQualityOperations | Problem solvingRoot causeDecisionOperations |