Structure that follows how people look, not your organisation chart
Large government sites collect thousands of publications, fact sheets, forms, and reports over the years. Without a consistent structure, they get hard to find, even through search. Poor information architecture is a common cause of low user satisfaction and high enquiry volumes.
For the Attorney-General's Department, we organised 1,200 pages and more than 6,000 publications into nine site sections, supported by faceted search.
What you get:
- A site people can navigate. Structure and labels that match how your audiences think.
- Content that's easier to find. Navigation, filters, and search working together.
- A design you can build from. A sitemap, content model, and user flows your developers can use.
Our approach to information architecture
Information architecture is part of our user experience design process.
Frequently asked questions
Information architecture is how content is organised, labelled, and navigated: the structure a visitor experiences through navigation, categories, and search. Government sites often host thousands of pages across programs and audiences, so poor structure is a common cause of low satisfaction and high enquiry volumes. Our work covers sitemaps, taxonomy design, navigation, and search, all grounded in user research rather than organisational hierarchy.
Information architecture is what a visitor experiences: navigation, categories, and search. Content modelling is the data structure underneath in the CMS. Good architecture depends on a good model, but they're separate disciplines. A sound model can still sit behind a confusing navigation.
Content sprawl; thousands of publications, fact sheets, forms and reports accumulated over years without a consistent structure, making things hard to find via navigation or even search. Large-scale IA rework (re-architecting over a thousand pages and thousands of publications into a small number of clearly structured site sections with faceted search) is a common and high-value government IA project pattern.
Analytics (search success/failure rates, navigation drop-off, high-traffic 404s) and direct user testing are the two reliable signals; a site assessment is typically the right vehicle for diagnosing IA problems before committing to a full IA redesign.
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