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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Knowledge Mapping |  Business Strategy Value Chain Analysis |
|---|---|---|---|
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. | Value Chain Analysis shows where value is created, costs accrue, and differentiation becomes possible along the process. It compares strengths, risks, market logic, and courses of action. The result is captured as a value-chain map and lever list. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 30-240 min | 1-3 h | Half day |
Participantsdifferent | 1-6 | 3-12 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Value Chain Map, Lever List |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeMappingRisk | StrategyBusiness modelDiagnosisAnalysis |
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