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| Criterion |  Systems Thinking Leverage Points |  DevOps Game Day |  Decision Making Delphi Method |  Product Strategy DIBB |
|---|---|---|---|---|
Purposedifferent | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | 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. | 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 | High | Low |
Timedifferent | Half day | Halber Tag | 1-4 Wochen | 1-2 h |
Participantsdifferent | 3-12 | 5-20 | 6-30 Experten | 2-8 |
Formatdifferent | Workshop | Workshop | Async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Simulation Notes, Gaps List, Updated Runbooks | Expert Forecast, Consensus Range, Assumption Notes | DIBB document, Belief list, Bet list, Learning report |
Tagsno overlap | Systems thinkingChangeStrategy | ResilienceOperationsIncident | ForecastingExpertsDecisionStrategy | StrategyDecisionAssumptionsHypothesis |