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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Stock and Flow Diagram method illustration showing its working structure
Systems Thinking
Stock and Flow 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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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 Stock and Flow Diagram shows how stocks, inflows, and outflows shape a system over time. It is especially suited when growth, delays, or capacity limits determine the dynamics.
Complexitydifferent
MediumLowMediumHigh
Timedifferent
1-2 h1-2 h1-3 h2-6 h
Participantsdifferent
3-122-82-81-6
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsDIBB document, Belief list, Bet list, Learning reportCausal Loop Diagram, Feedback Notes, Leverage PointsStock and Flow Model, Dynamics Notes, Simulation Hypotheses
Tagsno overlap
Systems thinkingTradeoffsLeadership
StrategyDecisionAssumptionsHypothesis
FeedbackSystems thinkingCausalityDynamics
DynamicsSimulationFeedbackSystems thinking
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