Information architecture
Information architecture (IA) is the way content on a website is organized, labeled, and connected so that users can easily find and use it. It covers navigation design, content categorization, sitemap design, and the labeling system. The goal is for every visitor to intuitively know where they are and where to go next.
Information architecture directly affects whether users find what they are looking for on your website. Poor IA means lost customers and untapped potential:
- Poor IA is a leading cause of user failure on websites. Nielsen Norman Group research showed that in 2009, 10% of all task attempts failed specifically because of information architecture problems (NNGroup – IA Task Failures Remain Costly, 2009)
- Tree testing can dramatically improve findability. A case study of the B2B website of Baileigh Industrial showed that an information architecture redesign based on tree testing increased product findability by 85% (NNGroup – Quantifying UX Improvements)
- E-commerce navigation is falling short. Baymard Institute found that 76% of large e-commerce websites in the US and Europe have navigation that is “mediocre” or worse (Baymard Institute – Homepage & Category Usability, 2025)
- Investing in UX pays off many times over. According to Forrester Research, every dollar invested in UX returns $100 on average, an ROI of 9,900% (Forrester Research – The ROI of UX)
FAQ
How do you test information architecture?
With two main methods: card sorting and tree testing. In card sorting, participants sort content into groups based on their own logic. NNGroup recommends at least 15 participants. Tree testing then validates the proposed structure: users look for the right category in a text-only hierarchy without any visual design (NNGroup – Card Sorting).
What is the difference between information architecture and navigation?
Navigation is the visible part of information architecture: menus, breadcrumbs, links. Information architecture is a broader concept covering the entire organizational structure of content, the category labeling system, and search. IA rests on four pillars: organization, labeling, navigation, and search (Rosenfeld, Morville, Arango – Information Architecture, 4th ed., 2015).
When is the right time to work on information architecture?
At the start of the project, ideally during the discovery phase. NNGroup recommends running an open card sort first to understand users’ mental models, followed by tree testing to validate the proposed structure (NNGroup – Card Sorting vs. Tree Testing).
Sources:
- NNGroup – IA Task Failures Remain Costly (2009) – longitudinal research on task success on websites
- NNGroup – Quantifying UX Improvements – case study, 85% improvement in findability
- Baymard Institute – Homepage & Category Usability (2025) – benchmark of 19 e-commerce sites
- NNGroup – Card Sorting – card sorting methodology
- Rosenfeld, Morville, Arango – Information Architecture (4th ed., 2015) – the field’s key book
%201.webp)