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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 Hooked Model with its method-specific working model.
Growth
Hooked Model
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.The Hooked Model helps clarify engagement loops, user behavior, and experiments. It makes repeat behavior measurable and captures the result as a hooked loop, trigger map, and reward design.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 hMultiple workshops over several weeks1-4 Wochen
Participantsdifferent
3-121-52-81-6
Formatdifferent
WorkshopAsyncWorkshop + asyncAsync
Outputdifferent
Polarity Map, Warning Signs, Balance ActionsFunnel report, Drop-off analysis, Optimization hypothesesHooked loop, Trigger map, Reward design, Ethics checkExperiment results, Decision log, Learning summary
Tagsno overlap
Systems thinkingTradeoffsLeadership
AnalyticsConversionGrowth
GrowthBehaviorRetention
ExperimentsGrowthAnalyticsValidation
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