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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
Purposedifferent
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.When many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.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
MediumHighMediumMedium
Timedifferent
60-120 min1-4 Wochen60-90 min1-3 h
Participantsdifferent
3-81-63-81-5
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryPrioritization Canvas, Hypothesis BacklogFunnel report, Drop-off analysis, Optimization hypotheses
Tagsno overlap
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
ExperimentsPrioritizationDiscoveryHypothesis
AnalyticsConversionGrowth
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