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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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 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
MediumHighHighMedium
Timedifferent
60-120 min1-4 Wochen1-4 Wochen1-3 h
Participantsdifferent
3-86-30 Experten1-61-5
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExpert Forecast, Consensus Range, Assumption NotesExperiment results, Decision log, Learning summaryFunnel report, Drop-off analysis, Optimization hypotheses
Tagsno overlap
GrowthRetentionConversion
ForecastingExpertsDecisionStrategy
ExperimentsGrowthAnalyticsValidation
AnalyticsConversionGrowth
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