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Criterion
Paper illustration of Pretotyping with its method-specific working model.
Product Discovery
Pretotyping
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
Pretotyping clarifies whether a customer problem and solution idea create enough real demand. It separates problem, assumption, solution, and evidence, and captures the result as a pretotyping sketch, test setup, and conversion data.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.Growth often breaks down where a reinforcing mechanism builds up too much friction. A Flywheel shows the cycle of value, repetition, and reinforcement meant to sustain growth.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
LowMediumMediumHigh
Timedifferent
Stunden bis wenige Tage1-3 h60-120 min1-4 Wochen
Participantsdifferent
1-41-53-81-6
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Pretotyping sketch, Test setup, Conversion data, Go or no-go decisionFunnel report, Drop-off analysis, Optimization hypothesesFlywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
ValidationDemandMVP
AnalyticsConversionGrowth
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
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