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Criterion
Paper illustration of a Polarity Map with two poles and four quadrants
Systems Thinking
Polarity Mapping
Paper illustration of a branching impact map with a Why goal at the root, actor circles, How behavior changes and What options.
Product Strategy
Impact Mapping
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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 a goal needs to be connected to several possible paths, it shows chains of impact instead of feature lists. It connects business goal, behavior change, and measures.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 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 h45-90 min1-3 h1-4 Wochen
Participantsdifferent
3-123-81-51-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsImpact Map, Outcome Hypotheses, Delivery OptionsFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingTradeoffsLeadership
OutcomesStrategyBehaviorPlanning
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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