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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Knowledge Mapping |  Operations Kepner-Tregoe |  Operations A3 Problem Solving |
|---|---|---|---|---|
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 disturbance that's hard to pin down, the method cleanly separates problem, cause, and decision. It reduces mixing when symptoms allow several interpretations. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 30-240 min | 1-3 h | 2-8 h | 45-90 min |
Participantsdifferent | 1-6 | 3-12 | 2-8 | 2-5 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Problem Analysis, Decision Analysis, Risk Plan | A3 Report, Action Plan, Root Cause Analysis |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeMappingRisk | Problem solvingRoot causeDecisionOperations | LeanProblem solvingCoachingOperations |