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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
MediumMediumHighLow
Timedifferent
1-2 h45-90 min1-4 Wochen1-5 Tage
Participantsdifferent
3-122-51-6Nutzertraffic
Formatdifferent
WorkshopWorkshop + asyncAsyncAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsA3 Report, Action Plan, Root Cause AnalysisExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Systems thinkingTradeoffsLeadership
LeanProblem solvingCoachingOperations
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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