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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Business Strategy Value Chain Analysis |  Operations Change 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. | 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. | For a deviation after a change, the method isolates the influence of the altered condition. It narrows down which differences are relevant and which are just accompanying noise. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 30-240 min | Half day | 45-120 min |
Participantsdifferent | 1-6 | 3-8 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Value Chain Map, Lever List | Change Matrix, Cause Hypotheses, Validation Questions, Action List |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | StrategyBusiness modelDiagnosisAnalysis | ChangeRoot causeTroubleshootingComparison |
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