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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Decision Making Delphi Method |  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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. | 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 | 1-4 Wochen | 45-120 min | 15-30 min |
Participantsdifferent | 1-6 | 6-30 Experten | 2-6 | 2-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Expert Forecast, Consensus Range, Assumption Notes | Change Matrix, Cause Hypotheses, Validation Questions, Action List | Root cause notes, Countermeasures |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ForecastingExpertsDecisionStrategy | ChangeRoot causeTroubleshootingComparison | Root causeIncidentLeanProblem solving |