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| Criterion |  Operations 8D Problem Solving |  Operations Scatter Diagram |  Engineering Hypothesis-Driven Troubleshooting |  Operations Change Analysis |
|---|---|---|---|---|
Purposedifferent | For an acute quality or delivery problem, the method structures immediate protection and root cause work together. It keeps the situation stable while the actual cause is investigated cleanly. | 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. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 1-6 Wochen | 30-90 min | 30-240 min | 45-120 min |
Participantsdifferent | 4-10 | 1-4 | 1-6 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | 8D Report, Containment Plan, Root Cause Evidence, Corrective Action Plan | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Change Matrix, Cause Hypotheses, Validation Questions, Action List |
Tagsno overlap | QualityProblem solvingRoot cause | Root causeQualityVisualization | TroubleshootingProblem solvingDiagnosis | ChangeRoot causeTroubleshootingComparison |