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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration for Kaizen Event.
Operations
Kaizen Event
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.For a tightly scoped process segment with noticeable waste, the method bundles shared energy for change. It suits situations that call for fast learning loops and visible adjustments.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
1-2 h0.5-5 Tage1-4 Wochen45-60 min
Participantsdifferent
3-124-101-62-8
Formatdifferent
WorkshopWorkshopAsyncWorkshop + async
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsKaizen Charter, Waste List, Improvement Experiments, Standard Work UpdateExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
Systems thinkingTradeoffsLeadership
LeanContinuous improvementOperations
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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