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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality 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.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.An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.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.
Complexitydifferent
MediumHighLowHigh
Timedifferent
1-2 hHalf day15-45 min2-4 h
Participantsdifferent
3-123-121-33-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsLeverage Map, Action StrategyADR File, Decision Log, RationaleFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
Systems thinkingTradeoffsLeadership
Systems thinkingChangeStrategy
ArchitectureRationaleDocumentationGovernance
Theory of ConstraintsSystems thinkingChange
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