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| Criterion |  Operations Scatter Diagram |  Decision Making Eisenhower Matrix |  Operations Root Cause Analysis |  Decision Making Pareto 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. | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 30-90 min | 15-30 min | 1-4 h | 30-60 min |
Participantsdifferent | 1-4 | 1-6 | 3-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Eisenhower Matrix, Action List, Delegation Notes | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Pareto Chart, Top Causes, Focus List |
Tagsno overlap | Root causeQualityVisualization | PrioritizationFocusTasks | Root causeProblem solvingQualityIncident | PrioritizationQualityFocusRoot cause |