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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Strategy Impact Mapping |  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. | When a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures. | 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 | 45-90 min | Mehrere Tage bis Wochen | 2-4 h |
Participantsdifferent | 1-6 | 3-8 | 2-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Impact Map, Outcome Hypotheses, Delivery Options | MORT Worksheets, Findings per Branch, Corrective Actions, Systemic Recommendations | Barrier Inventory, Failure Analysis per Barrier, Action Backlog |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | OutcomesStrategyBehaviorPlanning | Root causeSafetySystemicIncident | Root causeSafetyIncident |