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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
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.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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
MediumHighMediumHigh
Timedifferent
1-2 h1-4 Wochen1-3 h2-6 h
Participantsdifferent
3-126-30 Experten2-81-6
Formatdifferent
WorkshopAsyncWorkshopWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsExpert Forecast, Consensus Range, Assumption NotesCausal Loop Diagram, Feedback Notes, Leverage PointsStock and Flow Model, Dynamics Notes, Simulation Hypotheses
Tagsno overlap
Systems thinkingTradeoffsLeadership
ForecastingExpertsDecisionStrategy
FeedbackSystems thinkingCausalityDynamics
DynamicsSimulationFeedbackSystems thinking
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