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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
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.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.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.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
MediumLowHighMedium
Timedifferent
1-2 h1 h bis mehrere Wochen2-6 h1-3 h
Participantsdifferent
3-121-83-82-8
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsPDCA Log, Experiment Plan, Learning Outcome, Standard ChangeCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
Systems thinkingTradeoffsLeadership
Continuous improvementLeanExperiments
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
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