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