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Future student online experiences

Future student online experiences

Sharing the work of the Prospective Student Web Content Team

Author: Carla Soto Quintana

We’re running an online event on Tuesday 30 April to showcase the insights we gathered from running the undergraduate beta – a preview of what undergraduate degree profiles will look like when the new system goes live.

The version of Google Analytics we have used for the last ten years – Universal Analytics – was replaced in 2023 by Google Analytics 4 and the data it collected will soon be deleted by Google. I’ve been thinking about what we archive, how we do it, and why.

We’ve been using an analytics and feedback tool, Hotjar, on our beta pages of the new undergraduate degree profiles. The insight mirrors what we saw in earlier usability testing, so we’re implementing design changes to address issues.

This summer, I hired a data and analytics intern through the Career Services’ Employ.ed on Campus programme. It was a very positive experience all round – for the team, for myself as a first-time manager, and for Ash our intern.

I tagged along with user researcher Nicola Dobiecka on her quest to understand the postgraduate research (PGR) application experience to discover the points where user research and analytics overlap.

I have done research on the usage of subject area pages on the current degree finder, which shows that users spend a short amount of time on these pages looking for a link to the programme entries and don’t engage with any other content. Due to this, we are moving this subject area specific content […]

I have been supporting the team’s current website content auditing activity by looking at corresponding website analytics. In this post I will share some early insight trends and what I’m seeing in terms of website management behaviour that impacts what we can learn from website analytics.

How can we get insights from unstructured enquiry data? In this post I talk about one approach to this question using the Student Immigration Service as a case study.

This article is a general overview of some of the data analysis tools available to University staff. What are they good for? And, how much effort do they need to use and learn? A performance analyst’s perspective.

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