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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
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
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.With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.
Complexitydifferent
MediumHighMediumMedium
Timedifferent
1-2 h2-4 h45-120 min30-90 min
Participantsdifferent
3-123-82-81-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsFuture Reality Tree, Negative Branches, Assumption List, Improved InjectionsTrade-off Matrix, Criteria List, Decision Rationale, Accepted DownsidesDecision Tree, Option Map, Assumption List
Tagsno overlap
Systems thinkingTradeoffsLeadership
Theory of ConstraintsSystems thinkingChange
TradeoffsDecisionCriteriaOptions
DecisionTreeOptions
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