Skill Profile
Information Architecture
"The observable action of structuring, labelling, and organising information within a product or service — defining navigation systems, taxonomies, hierarchies, and content relationships — in order to help users find what they need quickly and understand where they are within the system."
YOUR SKILLS
Problems This Skill Solves
- Users abandoning a website or app because they cannot find key information — a well-structured IA reduces search time and increases task completion rates by making the navigation model match users' mental models
- Content sprawl in large organisations where documents, pages, and resources accumulate without coherent structure — IA audits and taxonomy design bring order to content ecosystems, reducing duplication and improving discoverability
- Onboarding friction in complex software tools — clear IA ensures new users can orient themselves quickly, understand what features exist, and build a correct mental model without requiring extensive training
- Search systems that return poor results — well-designed metadata schemas and controlled vocabularies improve the precision and recall of internal and external search engines
Tools Used
Roles That Use This Skill
1 total · 1 industryThis skill is concentrated in one industry.
UX/Product Design / Technology
"Information architecture is mainly about taxonomy — organise the content into a clear category structure, and users will find what they need."
Taxonomy reflects how the organisation thinks about its content, not necessarily how users think about their needs. The primary IA challenge is understanding the user's mental model — what they are trying to do, what vocabulary they use, and what they expect to find where — and designing the structure to match that model rather than the content owner's classification logic.
Research & Outlook
Information architecture is evolving as AI-powered search and conversational interfaces challenge the primacy of hierarchical navigation — if a user can ask a question in natural language and receive a direct answer, the importance of browse-able taxonomies diminishes. However, the quality of AI search outputs depends critically on the quality of the underlying content structure and metadata — poorly structured, unlabelled content produces poor AI retrieval results, meaning IA skill is increasingly about designing for machine readability as well as human navigation. The explosion of content in enterprise environments (SharePoint, Confluence, Notion, Slack) is creating urgent demand for IA practitioners who can bring order to content chaos at scale. The discipline is also expanding into non-screen contexts: voice interfaces, chatbots, and AR/VR environments all require IA thinking applied to novel interaction paradigms.
See This Skill In Action
Watch a professional demonstrate Information Architecture in a real working environment — what it looks like, how it's applied, and why it matters.
Design / UX
Information Architecture
Also Known As
Growth Path
Creates simple site maps and content inventories, applies basic labelling and categorisation principles, and uses card sorting to gather user input. Understands the difference between navigation structures, taxonomies, and search, and can document basic content hierarchies in Miro or a spreadsheet.
Designs and validates full navigation systems for medium-complexity products using card sorting, tree testing, and usability testing. Creates controlled vocabularies and metadata schemas, conducts content audits, and produces IA documentation that guides development teams. Identifies structural mismatches between user mental models and existing navigation.
Architects information systems for large-scale, multi-channel digital estates — enterprise intranets, government portals, e-commerce platforms with thousands of SKUs. Designs cross-channel IA that spans web, mobile, voice, and search. Develops and governs enterprise taxonomy and metadata standards, and establishes IA governance processes that maintain structural coherence as content grows over time.
How to Practise
- 1.Conduct a content audit of any website you use regularly — inventory every page, classify it by type and topic, and draw a site map. Identify where the current structure breaks down and propose a restructured taxonomy.
- 2.Run a card sorting exercise with 5–10 participants using physical index cards or Optimal Workshop — ask them to group a set of content items into categories that make sense to them, then analyse the results to identify a consensus structure.
- 3.Practise tree testing: create a navigation structure for a simple website, give participants tasks to find specific content, and observe where they go wrong. Use the failure points to iterate the structure.
- 4.Study the IA of well-designed large-scale sites (GOV.UK, NHS.uk, BBC) — analyse how their taxonomies, navigation labels, and content relationships are constructed and documented.
How to Prove
- ·Portfolio of IA deliverables: site maps, content models, taxonomy documentation, navigation wireframes — showing the reasoning behind structural decisions and how they were validated with users
- ·Card sorting and tree testing reports demonstrating quantitative validation of navigation structures against user mental models
- ·Case study showing measurable improvement in findability metrics (task completion rate, time on task, search query reduction) following an IA redesign
- ·Certified Information Professional (CIP) credential from AIIM, or completion of the Interaction Design Foundation's IA course with portfolio evidence