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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Concept Mapping |  Operations Barrier 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. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. | 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. | 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. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 30-240 min | 1-2 h | 2-4 h | 1-4 h |
Participantsdifferent | 1-6 | 1-8 | 2-6 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Concept Map, Relationship Labels, Knowledge Gaps | Barrier Inventory, Failure Analysis per Barrier, Action Backlog | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeConceptsMappingSensemaking | Root causeSafetyIncident | Root causeProblem solvingQualityIncident |