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Criterion
Game Day workspace showing the question, observations, and next decision.
DevOps
Game Day
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
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.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.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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.
Complexitysame
HighHighHighHigh
Timedifferent
Halber TagHalf day1-4 Wochen2-4 h
Participantsdifferent
5-203-126-30 Experten3-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop
Outputdifferent
Simulation Notes, Gaps List, Updated RunbooksLeverage Map, Action StrategyExpert Forecast, Consensus Range, Assumption NotesFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
ResilienceOperationsIncident
Systems thinkingChangeStrategy
ForecastingExpertsDecisionStrategy
Theory of ConstraintsSystems thinkingChange
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