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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
Paper illustration for Trade-off Analysis.
Decision Making
Trade-off Analysis
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.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.When a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.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.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
1-2 h45-90 min5-15 min45-120 min
Participantsdifferent
3-122-83-202-8
Formatdifferent
WorkshopWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsDecision Matrix, Scoring Rationale, Selected OptionRanked list, Consensus signal, ShortlistTrade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides
Tagsno overlap
Systems thinkingTradeoffsLeadership
DecisionCriteriaScoringTradeoffs
FacilitationVotingConsensusPrioritization
TradeoffsDecisionCriteriaOptions
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