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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
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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 many visitors or users drop off along the way, the reason behind the number often stays hidden. Funnel Analysis exposes these transitions and makes visible exactly where the path collapses.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 Wochen1-3 h1-5 Tage
Participantsdifferent
1-31-61-5Nutzertraffic
Formatsame
AsyncAsyncAsyncAsync
Outputdifferent
ADR File, Decision Log, RationaleExperiment results, Decision log, Learning summaryFunnel report, Drop-off analysis, Optimization hypothesesInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
AnalyticsConversionGrowth
ValidationExperimentsDemandGrowth
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