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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Operations Failure Mode and Effects Analysis |  Knowledge Modeling Knowledge Mapping |
|---|---|---|---|
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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 30-240 min | 2-6 h | 1-3 h |
Participantsdifferent | 1-6 | 3-10 | 3-12 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | FMEA Table, Risk Priority, Mitigation Actions | Knowledge Map, Critical Knowledge Areas, Transfer Plan |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | RiskQualityOperationsRoot cause | KnowledgeMappingRisk |
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