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Selected:Change AnalysisHypothesis-Driven TroubleshootingFailure Mode and Effects AnalysisRoot Cause Analysis
| Criterion |  Operations Change Analysis |  Engineering Hypothesis-Driven Troubleshooting |  Operations Failure Mode and Effects Analysis |  Operations Root Cause Analysis |
|---|---|---|---|---|
Purposedifferent | 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 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 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 | Medium | High | Medium |
Timedifferent | 45-120 min | 30-240 min | 2-6 h | 1-4 h |
Participantsdifferent | 2-6 | 1-6 | 3-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | FMEA Table, Risk Priority, Mitigation Actions | Problem Statement, Cause Hypotheses, Confirmed Causes, Action Plan |
Tagsno overlap | ChangeRoot causeTroubleshootingComparison | TroubleshootingProblem solvingDiagnosis | RiskQualityOperationsRoot cause | Root causeProblem solvingQualityIncident |