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| Criterion |  Knowledge Modeling Knowledge Mapping |  Engineering Hypothesis-Driven Troubleshooting |  Operations Barrier Analysis |  Operations Fault Tree Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 | 1-3 h | 30-240 min | 2-4 h | 2-6 h |
Participantsdifferent | 3-12 | 1-6 | 2-6 | 3-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Fault Tree, Critical Paths, Cause Hypotheses, Control Actions |
Tagsno overlap | KnowledgeMappingRisk | TroubleshootingProblem solvingDiagnosis | Root causeSafetyIncident | RiskRoot causeSafety |