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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Knowledge Mapping |  Business Strategy Value Chain Analysis |  Knowledge Modeling Concept 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. | 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. | Concept Mapping arranges terms and relationships in a network that makes subject-matter connections tangible. It fits when a topic needs to be understood structurally rather than linearly. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 30-240 min | 1-3 h | Half day | 1-2 h |
Participantsdifferent | 1-6 | 3-12 | 3-8 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Value Chain Map, Lever List | Concept Map, Relationship Labels, Knowledge Gaps |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeMappingRisk | StrategyBusiness modelDiagnosisAnalysis | KnowledgeConceptsMappingSensemaking |