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| Criterion |  DevOps Game Day |  Decision Making Delphi Method |  Operations A3 Problem Solving |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | 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. | For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit 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. |
Complexitydifferent | High | High | Medium | Low |
Timedifferent | Halber Tag | 1-4 Wochen | 45-90 min | 1-2 h |
Participantsdifferent | 5-20 | 6-30 Experten | 2-5 | 2-8 |
Formatdifferent | Workshop | Async | Workshop + async | Workshop + async |
Outputdifferent | Simulation Notes, Gaps List, Updated Runbooks | Expert Forecast, Consensus Range, Assumption Notes | A3 Report, Action Plan, Root Cause Analysis | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ResilienceOperationsIncident | ForecastingExpertsDecisionStrategy | LeanProblem solvingCoachingOperations | StrategyDecisionAssumptionsHypothesis |