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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Systems Thinking Leverage Points |  Engineering Fault Isolation |  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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. | 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 | Medium |
Timedifferent | 30-240 min | Half day | 30-180 min | 45-120 min |
Participantsdifferent | 1-6 | 3-12 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Leverage Map, Action Strategy | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Change Matrix, Cause Hypotheses, Validation Questions, Action List |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | Systems thinkingChangeStrategy | TroubleshootingDiagnosisEngineering | ChangeRoot causeTroubleshootingComparison |