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| Criterion |  Knowledge Modeling Concept Mapping |  Engineering Fault Isolation |  Operations Change Analysis |  Engineering Hypothesis-Driven Troubleshooting |
|---|---|---|---|---|
Purposedifferent | 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. | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. | 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. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. |
Complexitysame | Medium | Medium | Medium | Medium |
Timedifferent | 1-2 h | 30-180 min | 45-120 min | 30-240 min |
Participantsdifferent | 1-8 | 1-6 | 2-6 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Concept Map, Relationship Labels, Knowledge Gaps | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | KnowledgeConceptsMappingSensemaking | TroubleshootingDiagnosisEngineering | ChangeRoot causeTroubleshootingComparison | TroubleshootingProblem solvingDiagnosis |