Information Architecture That Makes Content Findable
When users cannot find what they need, they leave. NNGroup found that users read only 28% of words on any page -- which means they rely on navigation structure, not reading, to find content. We design information architectures that organize your content the way your users think about it.
of words on a page are actually read -- users rely on navigation labels and content structure to find information, not reading
NNGroup, 2008
Information Architecture
What's Included
Everything you get with our Information Architecture
Site Map & Page Hierarchy
Complete content hierarchy defining every page, its relationships, and its position in the navigation structure, validated through user research methods
Navigation System Design
Primary, secondary, and utility navigation structures with labeling conventions tested against user mental models through card sorting and tree testing
Taxonomy & Labeling System
Content categorization framework with labels, tags, and filtering systems that match how users search for and browse your content
Our Information Architecture Process
Content Audit & User Research
We audit your existing content, analyze site analytics for navigation patterns and search queries, and conduct card sorting exercises with representative users to understand their mental models for your content.
IA Design & Tree Testing
We design the content hierarchy and navigation labels based on user research findings. Tree testing validates that users can find key content through the proposed structure before any visual design or development begins.
Navigation & Taxonomy Design
We design the complete navigation system: primary navigation, secondary navigation, breadcrumbs, footer links, and any faceted navigation or filtering systems. Labels are refined based on tree testing results to maximize findability.
Documentation & Implementation Support
We deliver comprehensive IA documentation including site maps, navigation specifications, and content migration guides. We support your team during implementation to ensure the IA is correctly translated into the live site structure.
Key Benefits
Users Find Content on the First Try
When navigation mirrors user mental models, visitors navigate to the right content intuitively. They do not need to guess which menu contains what they need or use search as a workaround for bad navigation. This reduces friction at every interaction and improves the experience for every visitor.
Reduced Bounce Rates and Improved Engagement
Poor IA causes visitors to bounce when they cannot quickly find relevant content. Good IA routes visitors to the content that matches their intent, which reduces bounce rates, increases pages per session, and improves the conversion metrics that depend on visitors engaging with the right content.
Scalable Structure for Growing Content
A well-designed IA anticipates growth. New content categories, product lines, and feature pages fit naturally into the existing structure without requiring navigation redesigns. This scalability reduces the ongoing cost of content management and prevents the structural debt that accumulates when content is added ad hoc.
Research & Evidence
Backed by industry research and proven results
Content Reading Study
Users read only 28% of words on a page
NNGroup (2008)
UX ROI Study
Every $1 invested in UX returns $100 in value
Forrester Research (2016)
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Make Every Piece of Content Findable
Free consultation. No commitment. Get a custom ui/ux design strategy in 24 hours.
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