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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Purposedifferent
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.The Feynman Technique checks understanding by explaining a topic so that it stays easy for others to understand. It makes knowledge gaps visible before they become costly in everyday work.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.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.
Complexitydifferent
HighLowHighHigh
Timedifferent
1-4 Wochen20-60 minHalf day2-4 h
Participantsdifferent
6-30 Experten13-123-8
Formatdifferent
AsyncAsyncWorkshopWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesPlain-language Explanation, Knowledge Gaps, Study NotesLeverage Map, Action StrategyFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
ForecastingExpertsDecisionStrategy
LearningKnowledgeUnderstanding
Systems thinkingChangeStrategy
Theory of ConstraintsSystems thinkingChange
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