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Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.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
MediumMediumLowHigh
Timedifferent
45-60 min60-120 min1-5 Tage1-4 Wochen
Participantsdifferent
2-83-8Nutzertraffic1-6
Formatdifferent
Workshop + asyncWorkshopAsyncAsync
Outputdifferent
Assumption map, Test backlog, Risk rankingFlywheel Map, Friction Points, Growth Levers, Experiment BacklogInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
AssumptionsRiskExperimentsValidation
GrowthRetentionConversion
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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