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| Criterion |  DevOps Game Day |  Decision Making Delphi Method |  Operations ALPEN Method |  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. | With an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | Low | Low |
Timedifferent | Halber Tag | 1-4 Wochen | 10-20 min daily | 1-2 h |
Participantsdifferent | 5-20 | 6-30 Experten | 1 | 2-8 |
Formatdifferent | Workshop | Async | Async | Workshop + async |
Outputdifferent | Simulation Notes, Gaps List, Updated Runbooks | Expert Forecast, Consensus Range, Assumption Notes | Daily Plan, Time Estimates, Review Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | ResilienceOperationsIncident | ForecastingExpertsDecisionStrategy | PlanningTime managementProductivityOperations | StrategyDecisionAssumptionsHypothesis |