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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Decision Making Delphi Method |  Product Strategy DIBB |  Engineering Fault Isolation |
|---|---|---|---|---|
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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. |
Complexitydifferent | Medium | High | Low | Medium |
Timedifferent | 30-240 min | 1-4 Wochen | 1-2 h | 30-180 min |
Participantsdifferent | 1-6 | 6-30 Experten | 2-8 | 1-6 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | TroubleshootingDiagnosisEngineering |