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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Knowledge Mapping |  Operations Barrier Analysis |  Operations Fault Tree 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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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. | For a critical top event with several possible triggers, the method logically models failure paths. It makes visible which combinations of conditions can lead to damage. |
Complexitydifferent | Medium | Medium | Medium | High |
Timedifferent | 30-240 min | 1-3 h | 2-4 h | 2-6 h |
Participantsdifferent | 1-6 | 3-12 | 2-6 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeMappingRisk | Root causeSafetyIncident | RiskRoot causeSafety |