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| Criterion |  Operations Scatter Diagram |  Operations Change Analysis |  Operations Root Cause Tree Analysis |  Operations Root Cause 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. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30-90 min | 45-120 min | 1-3 h | 1-4 h |
Participantsdifferent | 1-4 | 2-6 | 2-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Cause Tree, Evidence Notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tags1 shared | Root causeQualityVisualization | ChangeRoot causeTroubleshootingComparison | Root causeTreeIncidentQuality | Root causeProblem solvingQualityIncident |