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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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.Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
1-2 h90-180 min45-60 min1-4 Wochen
Participantsdifferent
3-123-82-81-6
Formatdifferent
WorkshopWorkshopWorkshop + asyncAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsCoD Table, Prioritization SequenceAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingTradeoffsLeadership
PrioritizationDeliveryEconomicsDecision
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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