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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
Paper illustration of Scatter Diagram with its method-specific working model.
Operations
Scatter Diagram
Paper illustration: scenarios and architectural decisions are connected to identified risks.
Architecture
ATAM (Architecture Tradeoff Analysis Method)
Purposedifferent
When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.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 the question is whether two measures are related, the method makes patterns in the data picture visible. It separates felt correlations from relationships that actually show up in the data.ATAM helps teams weigh architecture decisions when quality goals compete. The team considers business goals, stakeholder expectations, and technical decisions together. The evaluation shows which risks need further investigation.
Complexitydifferent
LowLowLowHigh
Timedifferent
45–90 min1-4 h30-90 minSeveral meetings plus preparation and analysis; total effort depends on scope
Participantsdifferent
3-101-51-4Evaluation team, architects, and relevant stakeholders
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Theme clusters, Insight statements, Opportunity areasContext Diagram, Container Diagram, Component DiagramScatter Plot, Korrelationsnotiz, HypothesenlistePrioritized quality scenarios in a utility tree, Architecture risks with reasoning and assumptions, Sensitivity and trade-off points, Findings report with open investigations
Tagsno overlap
SynthesisQualitativeRoot cause
ArchitectureCommunicationVisualization
Root causeQualityVisualization
ArchitectureQualityRiskTradeoffsStakeholders
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