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| Criterion |  Operations Scatter Diagram |  Operations Root Cause Analysis |  Operations Change Analysis |  Operations Root Cause Tree Analysis |
|---|---|---|---|---|
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. | 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 problem with several suspected causes, the method builds a causal structure instead of a mere list. It makes visible how causes connect and where the strongest points of leverage lie. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30-90 min | 1-4 h | 45-120 min | 1-3 h |
Participantsdifferent | 1-4 | 3-8 | 2-6 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Cause Tree, Evidence Notes, Countermeasures |
Tags1 shared | Root causeQualityVisualization | Root causeProblem solvingQualityIncident | ChangeRoot causeTroubleshootingComparison | Root causeTreeIncidentQuality |