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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Systems Thinking Leverage Points |  Operations Change Analysis |  Operations 5 Whys |
|---|---|---|---|---|
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. | 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. | For a single, hard-to-explain deviation, the method exposes the causal chain behind the visible symptom. It keeps the cause open until a controllable condition emerges instead of a mere description. |
Complexitydifferent | Medium | High | Medium | Low |
Timedifferent | 30-240 min | Half day | 45-120 min | 15-30 min |
Participantsdifferent | 1-6 | 3-12 | 2-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Leverage Map, Action Strategy | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Root cause notes, Countermeasures |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | Systems thinkingChangeStrategy | ChangeRoot causeTroubleshootingComparison | Root causeIncidentLeanProblem solving |