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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
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.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.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
MediumMediumHighMedium
Timedifferent
1-2 h30-90 min2-6 h1-3 h
Participantsdifferent
3-123-123-82-8
Formatsame
WorkshopWorkshopWorkshopWorkshop
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsAffinity Size Map, Grouped Estimates, Unclear ItemsCurrent Reality Tree, Core Problems, Intervention IdeasCausal Loop Diagram, Feedback Notes, Leverage Points
Tagsno overlap
Systems thinkingTradeoffsLeadership
EstimationBacklogRelative sizing
Systems thinkingRoot causeConstraintsCausality
FeedbackSystems thinkingCausalityDynamics
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