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Criterion
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
Quality Attribute Workshop workspace showing the question, observations, and next decision.
Architecture
Quality Attribute Workshop
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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.A Quality Attribute Workshop translates quality requirements into concrete scenarios and architecture impulses. The method brings product, engineering, and operations to the same view of desired properties.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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
LowMediumMediumHigh
Timedifferent
1-4 h2-4 h45-60 min1-4 Wochen
Participantsdifferent
1-55-152-81-6
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Context Diagram, Container Diagram, Component DiagramQuality Scenarios, Priority List, Architecture ConcernsAssumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summary
Tagsno overlap
ArchitectureCommunicationVisualization
RequirementsArchitectureWorkshop
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
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