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Criterion
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
Paper illustration for Argument Mapping
Decision Making
Argument Mapping
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
Purposedifferent
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.IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.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 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
MediumMediumMediumHigh
Timedifferent
1-3 h1-3 h1-3 h2-6 h
Participantsdifferent
2-82-81-83-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Causal Loop Diagram, Feedback Notes, Leverage PointsIssue Map, Positions, Argument NotesArgument Map, Evidence Gaps, Decision RationaleCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
FeedbackSystems thinkingCausalityDynamics
RationaleKnowledgeDecision
SensemakingDecisionRationale
Systems thinkingRoot causeConstraintsCausality
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