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Criterion
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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 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 growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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
LowHighMediumLow
Timedifferent
15-45 min1-4 Wochen1-2 Wochen1-5 Tage
Participantsdifferent
1-31-61-6Nutzertraffic
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
ADR File, Decision Log, RationaleExperiment results, Decision log, Learning summaryExperiment card, Result summary, Next betInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
MarketingGrowthExperimentsLearning
ValidationExperimentsDemandGrowth
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