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| Criterion |  Engineering Fault Isolation |  Decision Making Pareto Analysis |  Engineering Hypothesis-Driven Troubleshooting |  Operations 5 Whys |
|---|---|---|---|---|
Purposedifferent | 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. | 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 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 | Low | Medium | Low |
Timedifferent | 30-180 min | 30-60 min | 30-240 min | 15-30 min |
Participantsdifferent | 1-6 | 1-6 | 1-6 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Pareto Chart, Top Causes, Focus List | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Root cause notes, Countermeasures |
Tagsno overlap | TroubleshootingDiagnosisEngineering | PrioritizationQualityFocusRoot cause | TroubleshootingProblem solvingDiagnosis | Root causeIncidentLeanProblem solving |