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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Operations Scatter Diagram |  Operations Change Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | 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 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. | 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 | Medium | Low | Medium | Medium |
Timedifferent | 30-240 min | 30-90 min | 45-120 min | 1-4 h |
Participantsdifferent | 1-6 | 1-4 | 2-6 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Scatter Plot, Korrelationsnotiz, Hypothesenliste | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | Root causeQualityVisualization | ChangeRoot causeTroubleshootingComparison | Root causeProblem solvingQualityIncident |