Easier Navigation
Menus and pages follow the way users think about your content, not your org chart.

We organize content, navigation and labels so people find what they need on the first try, and we prove it with tests run before and after the change.
Introduction
Information architecture decides where content lives, what it is called and how people move between pages. When it works, users find things without thinking about it. When it fails, they search, guess and leave.
Most IA projects start by redrawing the sitemap. We start by measuring. Our Findability Baseline runs tree tests on your current structure with real users, so we know which tasks fail and how often. The new structure is then tested against the same tasks, and you see the difference in success rate and time to find.
We structure websites, apps, intranets and portals so content stays easy to find as it grows.
Start with a Findability Baseline on your current site or app.
Why it matters
When users cannot find a product, a policy or a form, they either leave or contact support. Clear structure reduces both. It also makes life easier for the teams who publish and maintain content.
Menus and pages follow the way users think about your content, not your org chart.
Clear categories and labels cut the time users spend searching.
Users answer their own questions when help content is easy to reach.
Shorter paths to products and forms mean fewer people drop off.
Editors know where new content belongs and how to tag it.
The same terms are used across site, app and support content.
Logical headings and navigation help users of screen readers and keyboards.
A clean structure makes reports on sections and journeys easier to read.
New products and content fit into the structure without a redesign.
Security and Compliance
IA research often involves real users, internal documents and customer data. Our work follows the ISO 27001 and SOC 2 controls shown below. Participant recordings and results are stored securely, personal details are removed from reports, and access is limited to the project team.
Areas of focus
Each engagement combines research with design. We look at your content, your users and your analytics before proposing structure, and we test proposals before anything is built.

A full list of your pages and documents with owners, traffic and quality notes, showing what to keep, merge or remove.

Main menus, sub navigation, footers and breadcrumbs designed around the tasks users come to complete.

Categories, tags and metadata rules that power filters, search and related content.

Open and closed card sorts that show how users group and name your content.

Tests that check whether users can find key items in a proposed structure before design work begins.

Analysis of search logs and failed queries, followed by synonym lists, tuning and content fixes.

Annotated sitemaps and low fidelity wireframes that show hierarchy and page relationships.

Content types and fields designed for your CMS, so structure is enforced at the point of publishing.
Benefits
Good IA is felt by users and by the teams behind the product. These are the changes clients usually see once a new structure is in place.

Developers receive content models and navigation rules, which reduces rework.

Shared metadata makes it simpler to connect the CMS, search and other systems.

Websites, apps and portals follow the same structure and naming.

New sections and products slot in without breaking navigation.

Clear rules settle debates about where content belongs.

Users reach answers in fewer clicks, which shows up in task success rates.
Process
Every project follows six stages. Research comes before design, and testing comes before build. Each stage ends with a deliverable you can review.

Combined services
IA rarely works alone. These are the services we most often pair with it, depending on the size and maturity of your platform.

The core research pairing, used to design and validate structure with real users.

Behavior data and failed searches show where the current structure breaks down.

Structure, content rules and interface components planned together for consistency.

Metadata and synonyms that make search work across large document collections.

Content types and fields that let one structure feed websites, apps and other channels.
Deliverables
Every project ends with documents your designers, developers and editors can work from. Nothing stays in a slide deck.
Clear hierarchy diagrams with notes on page purpose and relationships.
Baseline and comparison tree test results with task by task findings.
Categories, tags and metadata rules ready to load into your CMS.
A short guide that tells editors where content goes and how to name it.
Content audits for sites with thousands of pages
Remote card sorting and tree testing
Search log analysis and synonym tuning
CMS content models and editor guidelines

Get sitemaps, taxonomies and guidelines that your whole team can follow.
Explore our Services
Contact us
Connect with us to explore how refined IA transforms navigation and strengthens digital ecosystems.
Common Queries

Have a question about information architecture? Ask our team.
A typical engagement includes a content audit, user research such as card sorting, a new sitemap and navigation, tree testing to validate it, and guidelines for keeping the structure in shape.
Cost depends on the amount of content, the number of user groups and how much testing is needed. A Findability Baseline on its own is a small first step.
Small sites can be restructured in a few weeks. Large sites and intranets take longer because content audits and research involve more people.
Card sorting shows how users group and name content, which helps you design a structure. Tree testing checks whether users can find items in a proposed structure, which helps you validate it.
It can improve them, as long as URL changes are planned with redirects and important pages keep their place. We review the SEO impact of every structural change before launch.
Information architecture covers how content is organized and labeled. UX design covers the full experience, including layout, interaction and visual design. IA is one part of UX, and it usually comes first.
Yes. Intranets often suffer most from poor structure, and the same research methods work well with employees as users. AI knowledge assistants depend on the same structure, so we work with our artificial intelligence development team on those projects.
Explore
Articles from our UX team on information architecture, navigation and user research.
Industries We Work With
Access clear insights into your content structure and navigation with Information Architecture Services by Pattem Digital. We optimize hierarchy, labeling, and user flows across industries such as e-commerce, fintech, healthcare, education, and media to simplify interactions, improve discoverability, and boost engagement. Turn complex digital ecosystems into intuitive, user-centric experiences that drive satisfaction, retention, and business growth.
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