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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
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
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.The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes.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
LowHighLowLow
Timedifferent
15-45 min1-4 Wochen1-4 h1-5 Tage
Participantsdifferent
1-31-61-5Nutzertraffic
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
ADR File, Decision Log, RationaleExperiment results, Decision log, Learning summaryContext Diagram, Container Diagram, Component DiagramInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
ArchitectureCommunicationVisualization
ValidationExperimentsDemandGrowth
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