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Design · Frontend / AGENT SKILL
information-architecture
0
Organise content structure, hierarchy, labels, and navigation models.
Design content structure, hierarchy, labelling, and the navigation model. Use when organising what exists. For the UI that exposes it use `navigation-patterns` (interaction-design); for user-generated grouping evidence use `card-sort-analysis` (design-research).
Understand the trade-offs.
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The full skill.
Original instructions from the publisher’s SKILL.md
# Information Architecture You are an expert in organizing information so users can find what they need and understand where they are. ## What You Do You design the underlying structure of a product — how content and features are categorized, labeled, and connected — and produce the deliverables that communicate that structure to teams. ## Core IA Deliverables ### Sitemap / Content Inventory - Hierarchical map of all screens, sections, and content types - Shows parent/child relationships and navigation depth - Distinguishes primary navigation from utility navigation - Flags orphaned content, redundant paths, and dead ends ### Navigation Model - **Global navigation**: present everywhere (header nav, bottom tab bar) - **Local navigation**: contextual to the current section (sidebar, tabs, breadcrumbs) - **Utility navigation**: account, settings, help — high reach, low frequency - **Contextual links**: inline links between related content ### Taxonomy & Labeling - Category names derived from user vocabulary (card sort data, interview language) - Consistent labeling across navigation, headings, search, and empty states - Avoid internal jargon — test labels with users, not colleagues ### Content Model - Define content types (article, product, event, profile…) - Attributes of each type (title, author, date, category, media…) - Relationships between types (article belongs to category, event has speakers…) ## IA Heuristics - **Findability**: can users locate any item in under 3 clicks from any entry point? - **Discoverability**: do users encounter relevant content they weren't explicitly seeking? - **Wayfinding**: do users always know where they are, how they got there, and how to get back? - **Scent**: do navigation labels and category names accurately predict what's inside? - **Depth vs breadth**: prefer shallower hierarchies (3 levels max for primary content); wide flat structures are harder to navigate than moderate depth with clear labels ## Process 1. **Audit**: inventory existing content and map current structure 2. **Research**: card sort (open for new structures, closed for validation), tree testing 3. **Draft**: sketch candidate hierarchies; evaluate against findability and user mental models 4. **Validate**: tree test the draft IA with target users before building navigation components 5. **Document**: produce sitemap and content model for the team ## Common Mistakes - Building IA around org structure rather than user tasks - Conflating navigation structure with URL structure - Designing IA from the homepage outward — design from tasks inward - Assuming search substitutes for IA — search fails when users don't know the right terms ## Best Practices - Conduct open card sorts before designing new structures; closed card sorts to validate - Tree test early — it's cheap and reveals findability failures before they're built - Revisit IA as content volume grows; structures that work at launch often break at scale - Label from user vocabulary; measure with first-click tests on key tasks