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| Criterion |  Engineering Fault Isolation |  Business Strategy Value Chain Analysis |  Operations Root Cause Analysis |  Engineering Hypothesis-Driven Troubleshooting |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When a problem keeps recurring and the cause stays unclear, the method exposes the underlying mechanism. It separates symptom, guess, and robust explanation from one another. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | 30-180 min | Half day | 1-4 h | 30-240 min |
Participantsdifferent | 1-6 | 3-8 | 3-8 | 1-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Value Chain Map, Lever List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | TroubleshootingDiagnosisEngineering | StrategyBusiness modelDiagnosisAnalysis | Root causeProblem solvingQualityIncident | TroubleshootingProblem solvingDiagnosis |