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| Criterion |  UX Research Affinity Diagramming |  Operations Scatter Diagram |  Operations Fishbone Diagram |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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. | 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 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 | 45–90 min | 30-90 min | 30-60 min | 2-8 h |
Participantsdifferent | 3-10 | 1-4 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Theme clusters, Insight statements, Opportunity areas | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Fishbone Diagram, Cause Categories, Investigation Backlog | Problem Analysis, Decision Analysis, Risk Plan |
Tags1 shared | SynthesisQualitativeRoot cause | Root causeQualityVisualization | Root causeQualityOperations | Problem solvingRoot causeDecisionOperations |