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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Feynman Technique.
Knowledge Modeling
Feynman Technique
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.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.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.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
HighHighLowHigh
Timedifferent
1-4 WochenHalf day20-60 min2-4 h
Participantsdifferent
6-30 Experten3-1213-8
Formatdifferent
AsyncWorkshopAsyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesLeverage Map, Action StrategyPlain-language Explanation, Knowledge Gaps, Study NotesFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
ForecastingExpertsDecisionStrategy
Systems thinkingChangeStrategy
LearningKnowledgeUnderstanding
Theory of ConstraintsSystems thinkingChange
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