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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
Polarity Mapping makes tensions between two opposing poles tangible, such as standardization and adaptation or control and autonomy. The method guards against making apparent either-or decisions prematurely.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 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.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.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
1-2 h1-4 Wochen1-3 h2-6 h
Participantsdifferent
3-126-30 Experten2-83-8
Formatdifferent
WorkshopAsyncWorkshopWorkshop
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsExpert Forecast, Consensus Range, Assumption NotesCausal Loop Diagram, Feedback Notes, Leverage PointsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
Systems thinkingTradeoffsLeadership
ForecastingExpertsDecisionStrategy
FeedbackSystems thinkingCausalityDynamics
Systems thinkingRoot causeConstraintsCausality
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