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| Criterion |  Operations Scatter Diagram |  Operations Failure Mode and Effects Analysis |  UX Research Affinity Diagramming |  Operations Fishbone Diagram |
|---|---|---|---|---|
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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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. |
Complexitydifferent | Low | High | Low | Low |
Timedifferent | 30-90 min | 2-6 h | 45–90 min | 30-60 min |
Participantsdifferent | 1-4 | 3-10 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | FMEA Table, Risk Priority, Mitigation Actions | Theme clusters, Insight statements, Opportunity areas | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tags1 shared | Root causeQualityVisualization | RiskQualityOperationsRoot cause | SynthesisQualitativeRoot cause | Root causeQualityOperations |