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| Criterion | ![]() Operations Scatter Diagram | ![]() Decision Making Eisenhower Matrix | ![]() Operations 5 Whys | ![]() 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. | It separates true priorities from noise so it becomes clear what should be done now, scheduled, delegated, or dropped. | 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. | 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 | Low | Medium |
Timedifferent | 30-90 min | 15-30 min | 15-30 min | 1-4 h |
Participantsdifferent | 1-4 | 1-6 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Eisenhower Matrix, Action List, Delegation Notes | Root cause notes, Countermeasures | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Root causeQualityVisualization | PrioritizationFocusTasks | Root causeIncidentLeanProblem solving | Root causeProblem solvingQualityIncident |



