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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Flywheel.
Growth
Flywheel
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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.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.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.When demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
HighMediumLowMedium
Timedifferent
1-4 Wochen60-120 min45-90 min1-5 Tage
Participantsdifferent
1-63-82-8Nutzertraffic
Formatdifferent
AsyncWorkshopWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryFlywheel Map, Friction Points, Growth Levers, Experiment BacklogAssumption List, Critical Assumptions, Learning PlanClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
GrowthRetentionConversion
AssumptionsRiskDecisionDiscovery
ValidationExperimentsDemandDiscovery
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