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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of an IBIS map with issues, positions and arguments
Knowledge Modeling
IBIS
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a decision table with criteria rows, weighted ratings, and a narrowly leading alternative.
Decision Making
Decision Matrix
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.IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus.When two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.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.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
1-2 h1-3 h1-4 Wochen45-90 min
Participantsdifferent
3-122-81-62-8
Formatdifferent
WorkshopWorkshop + asyncAsyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsIssue Map, Positions, Argument NotesExperiment results, Decision log, Learning summaryDecision Matrix, Scoring Rationale, Selected Option
Tagsno overlap
Systems thinkingTradeoffsLeadership
RationaleKnowledgeDecision
ExperimentsGrowthAnalyticsValidation
DecisionCriteriaScoringTradeoffs
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