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| Criterion | ![]() Operations Scatter Diagram | ![]() Systems Thinking Causal Loop Diagram | ![]() Operations Root Cause Analysis | ![]() Operations Causal Factor 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. | A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations. | 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 an event with a complicated course, the method breaks down the contributing factors along the timeline. It shows how conditions, decisions, and reactions together produce a course of events. |
Complexitydifferent | Low | Medium | Medium | High |
Timedifferent | 30-90 min | 1-3 h | 1-4 h | 2-6 h |
Participantsdifferent | 1-4 | 2-8 | 3-8 | 3-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Causal Loop Diagram, Feedback Notes, Leverage Points | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Event Timeline, Causal Factor Chart, Cause List, Corrective Actions |
Tagsno overlap | Root causeQualityVisualization | FeedbackSystems thinkingCausalityDynamics | Root causeProblem solvingQualityIncident | CausalityIncidentRoot causeTimeline |



