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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration of shared options, independently placed voting dots, and a highlighted shortlist.
Facilitation
Dot Voting
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 a workshop has produced too many options and the group needs to condense quickly, dot voting makes preferences visible in a short time. It bundles individual votes into a solid signal for the next selection.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
MediumLowMediumHigh
Timedifferent
60-120 min5-15 min1-3 h1-4 Wochen
Participantsdifferent
3-83-201-51-6
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogRanked list, Consensus signal, ShortlistFunnel report, Drop-off analysis, Optimization hypothesesExperiment results, Decision log, Learning summary
Tagsno overlap
GrowthRetentionConversion
FacilitationVotingConsensusPrioritization
AnalyticsConversionGrowth
ExperimentsGrowthAnalyticsValidation
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