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| Criterion |  Decision Making Pareto Analysis |  Engineering Hypothesis-Driven Troubleshooting |  Operations Change Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | In many problem situations, effect is distributed unequally across many causes. A Pareto Analysis separates the few drivers with high leverage from the long remainder and focuses attention on what measurably moves the needle. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. | 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. | 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. |
Complexitydifferent | Low | Medium | Medium | Medium |
Timedifferent | 30-60 min | 30-240 min | 45-120 min | 1-4 h |
Participantsdifferent | 1-6 | 1-6 | 2-6 | 3-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Pareto Chart, Top Causes, Focus List | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | PrioritizationQualityFocusRoot cause | TroubleshootingProblem solvingDiagnosis | ChangeRoot causeTroubleshootingComparison | Root causeProblem solvingQualityIncident |