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Criterion
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
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
Purposedifferent
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.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.
Complexitydifferent
LowLowLowHigh
Timedifferent
1-4 h1-5 Tage15-45 min1-4 Wochen
Participantsdifferent
1-5Nutzertraffic1-31-6
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Context Diagram, Container Diagram, Component DiagramInterest Metrics, Conversion Signal, Learning NoteADR File, Decision Log, RationaleExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureCommunicationVisualization
ValidationExperimentsDemandGrowth
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
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