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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Option Framing.
Decision Making
Option Framing
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
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.In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question.When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
1-2 h45-120 min45-90 min30-90 min
Participantsdifferent
3-123-82-81-6
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsOption Frames, Assumption Notes, Comparable Shortlist, Decision InputsDecision Matrix, Scoring Rationale, Selected OptionDecision Tree, Option Map, Assumption List
Tagsno overlap
Systems thinkingTradeoffsLeadership
OptionsDecision framingStrategyComparison
DecisionCriteriaScoringTradeoffs
DecisionTreeOptions
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