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| Criterion |  Engineering Hypothesis-Driven Troubleshooting |  Product Strategy DIBB |  Engineering Fault Isolation |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | 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. | 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 | Medium | Low | Medium | High |
Timedifferent | 30-240 min | 1-2 h | 30-180 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 2-8 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Hypothesis Log, Test Plan, Evidence Notes, Diagnosis Summary | DIBB document, Belief list, Bet list, Learning report | Fault Isolation Map, Test Log, Excluded Hypotheses, Narrowed Fault Area | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | TroubleshootingProblem solvingDiagnosis | StrategyDecisionAssumptionsHypothesis | TroubleshootingDiagnosisEngineering | ForecastingExpertsDecisionStrategy |