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Criterion
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of two considered options leading to a decision record with a marked status and visible consequences.
Architecture
Architecture Decision Record
Purposedifferent
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.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 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.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.
Complexitydifferent
MediumLowLowLow
Timedifferent
1-2 Tage1-4 h20-45 min15-45 min
Participantsdifferent
Based on research question1-5Based on research question1-3
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IAContext Diagram, Container Diagram, Component DiagramContent groups, Label set, IA hypothesesADR File, Decision Log, Rationale
Tagsno overlap
Information architectureNavigationFindability
ArchitectureCommunicationVisualization
Information architectureNavigationStructure
ArchitectureRationaleDocumentationGovernance
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