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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
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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 a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.
Complexitydifferent
LowLowMediumLow
Timedifferent
1-4 h15-45 min1-2 Tage20-45 min
Participantsdifferent
1-51-3Based on research questionBased on research question
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Context Diagram, Container Diagram, Component DiagramADR File, Decision Log, RationaleFindability Metrics, Path Analysis, Revised IAContent groups, Label set, IA hypotheses
Tagsno overlap
ArchitectureCommunicationVisualization
ArchitectureRationaleDocumentationGovernance
Information architectureNavigationFindability
Information architectureNavigationStructure
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