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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Knowledge Modeling Concept Mapping |  Business Strategy Value Chain Analysis |  Engineering Fault Isolation |
|---|---|---|---|---|
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. | 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. | 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. | In technical failures, the visible symptom often gets mixed up with the actual cause. Fault Isolation narrows the fault space and progressively reduces which part of the system is truly affected. |
Complexitydifferent | Medium | Medium | High | Medium |
Timedifferent | 30-240 min | 1-2 h | Half day | 30-180 min |
Participantsdifferent | 1-6 | 1-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Concept Map, Relationship Labels, Knowledge Gaps | Value Chain Map, Lever List | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | KnowledgeConceptsMappingSensemaking | StrategyBusiness modelDiagnosisAnalysis | TroubleshootingDiagnosisEngineering |