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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
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.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.When statements, evidence, and counterarguments get mixed up, a debate quickly loses its structure. Argument Mapping breaks a thesis down into its reasoning and makes visible what it really rests on.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
MediumHighMediumMedium
Timedifferent
1-2 h2-6 h1-3 h1-3 h
Participantsdifferent
3-123-81-82-8
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsCurrent Reality Tree, Core Problems, Intervention IdeasArgument Map, Evidence Gaps, Decision RationaleCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
Systems thinkingTradeoffsLeadership
Systems thinkingRoot causeConstraintsCausality
SensemakingDecisionRationale
FeedbackSystems thinkingCausalityDynamics
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