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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
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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
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 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.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
LowMediumLowHigh
Timedifferent
15-45 min1-3 h1-5 Tage1-4 Wochen
Participantsdifferent
1-31-5Nutzertraffic1-6
Formatsame
AsyncAsyncAsyncAsync
Outputdifferent
ADR File, Decision Log, RationaleFunnel report, Drop-off analysis, Optimization hypothesesInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureRationaleDocumentationGovernance
AnalyticsConversionGrowth
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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