Training Manual IA Project

Improving the information architecture of a complex online training manual during a replatforming project, creating a more intuitive structure through content audits, user research, and collaboration — making information easier to find and use.

Year
2024-2025

Client
Anna Freud

Project overview

As part of a larger replatforming initiative, I worked on improving the information architecture of a comprehensive online training manual used by internal teams and external professionals. The previous structure had grown organically over 15 years, resulting in inconsistent navigation, duplicated content, and a poor user experience.

My role focused on reorganising and restructuring content to improve findability, clarity, and usability. Through content audits, user research, and close collaboration with subject matter experts, I developed a more intuitive taxonomy and navigation system — making it easier for users to access the right information, faster.

This project was a great example of how strong IA can transform a dense content resource into a user-friendly, task-oriented tool.

My Role

As the content designer and UX consultant on this project, I was responsible for:

  • auditing the existing content structure

  • collaborating with stakeholders and subject matter experts

  • developing a new information architecture and navigation system

  • prototyping and validating the structure with users

  • designing the layout and structure of webpages in Notion

  • building wireframes and content templates for different page types

  • supporting implementation on the new platform

  • establishing and documenting publishing guidelines for the site

  • providing design support with infographics and visual assets

Tools used

Figma, Notion, Mural, FigJam, UX Tweak, MS Office.

Behind the scenes

A content map of the new website structure

Content map showing the proposed new website structure - this is a collaborative document using Mural, inviting comments from other members of the team.

A simple wireframe for one of the manual pages, made in Figma.

Screengrab from the Tone of Voice workshop with the subject matter experts and project team. This was a remote workshop I ran using FigJam.

Challenges

No user anayltics available

The platform that the manual was originally built on (TiddlyWiki) didn’t provide any way of measuring or providing user analytics, so we were unable to access data for insights into user behaviour or content performance.

Content production bottleneck

As much of the content was several years old, the subject matter experts insisted on a complete rewrite of all the content we were keeping (around 450 pages). Unfortunately the time they could dedicate to this project was very limited and so this created a production bottleneck and delayed delivery by several months.

Density of content

The manual had grown to well over 1000 pages in the 15 years it had been online and it had never been audited. The sheer volume of content was overwhelming and it was an immense task to go through each page to audit the content and other assets.

Limitations of the platform

Some of the ideas from user testing (e.g. providing tooltips for academic terms) were unable to be implemented due to the limitations of the Notion platform. We also had to think creatively when it came to implementing navigation menus and providing visual cues to show users where they were on the website.

Lack of existing structure

The manual was setup as a wiki rather than a traditional website, so there was no existing structure or content hierarchy to use as a base for our work. We were faced with disorganised and overlapping categories, inconsistent content labelling and duplicated pages across several topic areas.

 Research process

A snippet of the card sorting test results showing that users struggled to identify single categories for several key topics.

A snippet of the research findings from the card sorting exercise we did.

Outcome

The redesigned structure significantly improved usability, with early testing showing that users were able to find topics more easily and when they got lost or stuck, they were able to navigate themselves back on track. The new search we implemented was much more effective and users were confident to use this feature, making it quicker for them to access specific pages they wanted to find.

We received positive feedback on clarity and content discoverability from the subject matter experts and other stakeholders, which increased their buy-in to the overall replatforming project.

The new information architecture made the manual easier for users to navigate, more scalable, and better aligned with how users think. By workshopping a tone of voice for the manual, we helped to establish some publishing guidelines to help future contributors create consistent, engaging and accessible content.