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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration for ABC Analysis
Operations
ABC Analysis
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
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.With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention.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 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
MediumLowMediumHigh
Timedifferent
60-120 min30-60 min60-90 min1-4 Wochen
Participantsdifferent
3-81-53-81-6
Formatdifferent
WorkshopAsyncWorkshopAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogABC Classification, Focus Rules, Control ListPrioritization Canvas, Hypothesis BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthRetentionConversion
PrioritizationOperationsPortfolio
ExperimentsPrioritizationDiscoveryHypothesis
ExperimentsGrowthAnalyticsValidation
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