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| Criterion |  Knowledge Modeling Knowledge Mapping |  Engineering Hypothesis-Driven Troubleshooting |  Operations Fishbone Diagram |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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. | When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers. | For a disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. |
Complexitydifferent | Medium | Medium | Low | High |
Timedifferent | 1-3 h | 30-240 min | 30-60 min | 2-8 h |
Participantsdifferent | 3-12 | 1-6 | 2-8 | 2-8 |
Formatdifferent | Workshop | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Fishbone Diagram, Cause Categories, Investigation Backlog | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | KnowledgeMappingRisk | TroubleshootingProblem solvingDiagnosis | Root causeQualityOperations | Problem solvingRoot causeDecisionOperations |