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| Criterion |  Decision Making Delphi Method |  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. | 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 | Low | Medium |
Timedifferent | 1-4 Wochen | 1-2 h | 30-240 min |
Participantsdifferent | 6-30 Experten | 2-8 | 1-6 |
Formatdifferent | Async | Workshop + async | Workshop + async |
Outputdifferent | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary |
Tagsno overlap | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis | TroubleshootingProblem solvingDiagnosis |
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