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Criterion
Funnel Analysis workspace showing the question, observations, and next decision.
Growth
Funnel Analysis
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
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
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.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 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
MediumLowHighLow
Timedifferent
1-3 h15-45 min1-4 Wochen1-5 Tage
Participantsdifferent
1-51-31-6Nutzertraffic
Formatsame
AsyncAsyncAsyncAsync
Outputdifferent
Funnel report, Drop-off analysis, Optimization hypothesesADR File, Decision Log, RationaleExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
AnalyticsConversionGrowth
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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