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| Criterion |  Operations Scatter Diagram |  Operations 5 Whys |  Operations Weekly Review |  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. | 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. | In a week with many open loops, the method creates distance from operational noise. It organizes commitments, calendar, and projects so the next week becomes workable. | 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 | 30-60 min | 1-4 h |
Participantsdifferent | 1-4 | 2-6 | 1 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Root cause notes, Countermeasures | Updated Task System, Weekly Focus, Next Actions | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | Root causeQualityVisualization | Root causeIncidentLeanProblem solving | ProductivityExecutionPlanning | Root causeProblem solvingQualityIncident |