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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.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.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.
Complexitydifferent
MediumHighHighHigh
Timedifferent
1-2 h2-4 h1-4 WochenHalf day
Participantsdifferent
3-123-86-30 Experten3-12
Formatdifferent
WorkshopWorkshopAsyncWorkshop
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsExpert Forecast, Consensus Range, Assumption NotesLeverage Map, Action Strategy
Tagsno overlap
Systems thinkingTradeoffsLeadership
Theory of ConstraintsSystems thinkingChange
ForecastingExpertsDecisionStrategy
Systems thinkingChangeStrategy
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