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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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.When many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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
MediumMediumMediumHigh
Timedifferent
1-2 h1-3 h45-60 min1-4 Wochen
Participantsdifferent
3-121-52-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsFunnel report, Drop-off analysis, Optimization hypothesesAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingTradeoffsLeadership
AnalyticsConversionGrowth
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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