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| Criterion |  Operations Scatter Diagram |  Decision Making Eisenhower Matrix |  Operations Root Cause 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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 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 | Low | Medium | Medium |
Timedifferent | 30-90 min | 15-30 min | 1-4 h | 1-3 h |
Participantsdifferent | 1-4 | 1-6 | 3-8 | 2-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Eisenhower Matrix, Action List, Delegation Notes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Cause Tree, Evidence Notes, Countermeasures |
Tagsno overlap | Root causeQualityVisualization | PrioritizationFocusTasks | Root causeProblem solvingQualityIncident | Root causeTreeIncidentQuality |