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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Operations Change Analysis |  Operations MORT Analysis |  Operations Barrier 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. | 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. | For a safety-relevant event or a system with high protection requirements, the method examines where controls failed. It exposes both technical and organizational gaps. | For a risk that can only be managed through multiple layers of protection, the method examines the effectiveness of each barrier. It shows where safeguards are missing, too weak, or fail under real conditions. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 30-240 min | 45-120 min | Mehrere Tage bis Wochen | 2-4 h |
Participantsdifferent | 1-6 | 2-6 | 2-6 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Change Matrix, Cause Hypotheses, Validation Questions, Action List | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ChangeRoot causeTroubleshootingComparison | Root causeSafetySystemicIncident | Root causeSafetyIncident |