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Selected:Hypothesis-Driven TroubleshootingPareto AnalysisFailure Mode and Effects AnalysisRoot Cause Analysis
| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Decision Making Pareto Analysis |  Operations Failure Mode and Effects Analysis |  Operations Root Cause 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. | 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. | For a process, product, or service with noticeable failure risks, the method assesses possible failure modes in advance. It directs attention to combinations of occurrence, effect, and detectability. | 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 | Medium | Low | High | Medium |
Timedifferent | 30-240 min | 30-60 min | 2-6 h | 1-4 h |
Participantsdifferent | 1-6 | 1-6 | 3-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Pareto Chart, Top Causes, Focus List | FMEA Table, Risk Priority, Mitigation Actions | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | PrioritizationQualityFocusRoot cause | RiskQualityOperationsRoot cause | Root causeProblem solvingQualityIncident |