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Selected:Hypothesis-Driven TroubleshootingKnowledge MappingFailure Mode and Effects AnalysisKepner-Tregoe
| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Knowledge Mapping |  Operations Failure Mode and Effects Analysis |  Operations Kepner-Tregoe |
|---|---|---|---|---|
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 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. | 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 | High | High |
Timedifferent | 30-240 min | 1-3 h | 2-6 h | 2-8 h |
Participantsdifferent | 1-6 | 3-12 | 3-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Knowledge Map, Critical Knowledge Areas, Transfer Plan | FMEA Table, Risk Priority, Mitigation Actions | Problem Analysis, Decision Analysis, Risk Plan |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeMappingRisk | RiskQualityOperationsRoot cause | Problem solvingRoot causeDecisionOperations |