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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.
Complexitydifferent
MediumHighHighLow
Timedifferent
60-120 min2-6 h1-4 Wochen1-5 Tage
Participantsdifferent
3-83-81-6Nutzertraffic
Formatdifferent
WorkshopWorkshopAsyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogCurrent Reality Tree, Core Problems, Intervention IdeasExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
GrowthRetentionConversion
Systems thinkingRoot causeConstraintsCausality
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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