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| Criterion |  Decision Making Delphi Method |  Engineering Fault Isolation |  Product Strategy DIBB |  Engineering Hypothesis-Driven Troubleshooting |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | When systems fail unexpectedly, spontaneous attempts often produce more noise than insight. Hypothesis-driven Troubleshooting translates symptoms into testable assumptions and makes troubleshooting learnable. |
Complexitydifferent | High | Medium | Low | Medium |
Timedifferent | 1-4 Wochen | 30-180 min | 1-2 h | 30-240 min |
Participantsdifferent | 6-30 Experten | 1-6 | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | DIBB document, Belief list, Bet list, Learning report | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | ForecastingExpertsDecisionStrategy | TroubleshootingDiagnosisEngineering | StrategyDecisionAssumptionsHypothesis | TroubleshootingProblem solvingDiagnosis |