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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 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
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.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
LowLowHighLow
Timedifferent
1-4 h15-45 min1-4 Wochen1-5 Tage
Participantsdifferent
1-51-31-6Nutzertraffic
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Context Diagram, Container Diagram, Component DiagramADR File, Decision Log, RationaleExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ArchitectureCommunicationVisualization
ArchitectureRationaleDocumentationGovernance
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
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