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| Criterion |  Operations Scatter Diagram |  Operations Change Analysis |  Operations Failure Mode and Effects Analysis |  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 deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. | 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 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 | Medium | High | Low |
Timedifferent | 30-90 min | 45-120 min | 2-6 h | 30-60 min |
Participantsdifferent | 1-4 | 2-6 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Change Matrix, Cause Hypotheses, Validation Questions, Action List | FMEA Table, Risk Priority, Mitigation Actions | Fishbone Diagram, Cause Categories, Investigation Backlog |
Tags1 shared | Root causeQualityVisualization | ChangeRoot causeTroubleshootingComparison | RiskQualityOperationsRoot cause | Root causeQualityOperations |