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| Criterion |  Operations Scatter Diagram |  Decision Making Pareto Analysis |  Operations Root Cause Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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. | 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. | 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 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. |
Complexitydifferent | Low | Low | Medium | Low |
Timedifferent | 30-90 min | 30-60 min | 1-4 h | 15-30 min |
Participantsdifferent | 1-4 | 1-6 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Pareto Chart, Top Causes, Focus List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Root cause notes, Countermeasures |
Tags1 shared | Root causeQualityVisualization | PrioritizationQualityFocusRoot cause | Root causeProblem solvingQualityIncident | Root causeIncidentLeanProblem solving |