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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 the Force Field Analysis working structure.
Decision Making
Force Field 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 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.In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving.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
MediumMediumLowHigh
Timedifferent
1-2 h1-3 h45-90 min1-4 Wochen
Participantsdifferent
3-121-53-121-6
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsFunnel report, Drop-off analysis, Optimization hypothesesForce Field Map, Change Levers, Risk NotesExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingTradeoffsLeadership
AnalyticsConversionGrowth
ChangeDecisionStrategy
ExperimentsGrowthAnalyticsValidation
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