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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Purposedifferent
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.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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.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.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 Wochen60-120 min25-40 min1-3 h
Participantsdifferent
1-63-81-51-5
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryFlywheel Map, Friction Points, Growth Levers, Experiment BacklogLearning Card with evidence and next actionFunnel report, Drop-off analysis, Optimization hypotheses
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
GrowthRetentionConversion
ExperimentsValidationDiscoveryLearning
AnalyticsConversionGrowth
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