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Criterion
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.A Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.
Complexitydifferent
HighHighMediumMedium
Timedifferent
1-4 Wochen2-6 h30-90 min1-3 h
Participantsdifferent
6-30 Experten3-81-62-8
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Expert Forecast, Consensus Range, Assumption NotesCurrent Reality Tree, Core Problems, Intervention IdeasDecision Tree, Option Map, Assumption ListCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
ForecastingExpertsDecisionStrategy
Systems thinkingRoot causeConstraintsCausality
DecisionTreeOptions
FeedbackSystems thinkingCausalityDynamics
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