Content Improvement Club is our regular meetup for web publishers. This month, we looked at choosing the right words for our content so that it’s easy to find, use and understand.

As part of the Role of Profiles research project, the UX Service circulated a survey to staff across the University to gather data about how they use online profiles and what they think of them. 262 staff responded, providing valuable insights.

During a day spent working with Drupal AI specialists, we explored different ways to apply AI to enhance search and retrieval of content from University websites.  

As part of a day of AI experimentation with Drupal specialists, we learned how to use automated technology to evaluate content against the University’s guidance on house writing style.  

Advancements in Drupal AI and LLMs prompted us to explore ways to use AI to enhance and improve UX. Working with Drupal AI specialists, we spent a day considering how AI can impact user experiences of those publishing, searching and consuming University web content. 

The LOUISA team completed an initial round of user research as part of the User Experience (UX) plan.  

Discovery research to learn about staff profile content published in EdWeb formed part of the initiation of a new six-month project aimed at improving the provision for publishing online profiles.

The UX Service has begun a new six-month project recognising the importance of online staff profile content. Our project will research current use of profiles, learn staff needs for profile content and ideate ways to optimise display of online profile content.

Agentic AI is a new area of Drupal development. Like all software developments, it can be made more useful and usable through UX research. Working with Drupal AI expert Jamie Abrahams, I conducted research with University staff to learn about the UX of AI Assistants so I could contribute to making them even better.

Following a successful pilot test, I conducted more UX research of Drupal AI Assistants with University staff. I learned what staff thought and expected from the Assistants and how they interacted with them. Working iteratively, I was able to feed back what I learned between testing rounds to drive continued user-centred improvements.