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| Criterion |  Operations Scatter Diagram |  Operations 5 Whys |  Operations Change 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 single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. | 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. | 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 | Low | Medium | Medium |
Timedifferent | 30-90 min | 15-30 min | 45-120 min | 1-4 h |
Participantsdifferent | 1-4 | 2-6 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Root cause notes, Countermeasures | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tags1 shared | Root causeQualityVisualization | Root causeIncidentLeanProblem solving | ChangeRoot causeTroubleshootingComparison | Root causeProblem solvingQualityIncident |