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Criterion
Paper illustration for Flywheel.
Growth
Flywheel
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
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.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.An ADR permanently records an architecture decision with context, trade-offs, and consequence. It creates continuity for later changes because the decision path stays traceable.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
MediumHighLowLow
Timedifferent
60-120 min1-4 Wochen15-45 min1-5 Tage
Participantsdifferent
3-81-61-3Nutzertraffic
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Flywheel Map, Friction Points, Growth Levers, Experiment BacklogExperiment results, Decision log, Learning summaryADR File, Decision Log, RationaleInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
GrowthRetentionConversion
ExperimentsGrowthAnalyticsValidation
ArchitectureRationaleDocumentationGovernance
ValidationExperimentsDemandGrowth
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