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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
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.Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain.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 h1-5 Tage45-120 min30-90 min
Participantsdifferent
3-124-122-81-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsLogic Model, Change Objectives, Intervention Components, Evaluation PlanTrade-off Matrix, Criteria List, Decision Rationale, Accepted DownsidesDecision Tree, Option Map, Assumption List
Tagsno overlap
Systems thinkingTradeoffsLeadership
ChangeSystems thinkingCapability
TradeoffsDecisionCriteriaOptions
DecisionTreeOptions
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