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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
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
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 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.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
60-120 min60-90 min1-3 h1-4 Wochen
Participantsdifferent
3-83-81-51-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogPrioritization Canvas, Hypothesis BacklogFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthRetentionConversion
ExperimentsPrioritizationDiscoveryHypothesis
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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