...these problems we needed to focus down on a smaller problem. Instead of attempting to automatically classify all surveys into all classes like a human classifier would, we focussed instead...
...charts and the words we use. While similar to user research, where researchers would talk to people who use the statistics, but it can help to get an “outsider’s” perspective...
...the flaws in how Google Analytics calculates time on page and session duration, then went on to show us how to use timer scripts to increment a custom metric every...
...Informing the use and interpretation of ethnicity data These reports will discuss: how we use relative likelihoods to understand how big disparities are between different ethnic groups the impact of...
...code will lead to other services learning how to expose similar functionality in that manner. It should also provide working code for ideas that could potentially be taken to the...
...the team I used these indicators to create an automatic assessment tool in Python. I also iterated them to increase their predictive accuracy (by creating a new indicator, making the...
...this feeds into the DSA programme. The role will also involve bringing the community together, and identifying where we need more learning and development within the data function. We see...
...service, such as the Public Enquiry Line team, and any insights are incorporated back into the service design. Design The team have evidence to show that users are able to...
...it was intended to meet and were planning iteratively to continue your development towards this. Recommendation: consider increasing your user feedback opportunities to align with product releases to gain faster...
...to better understand how well their content work is performing. The team uses agile methodology to deliver our work, which involves daily stand-ups to provide updates, fortnightly sprint planning, retrospective...
Related content and links
About this blog
This is a cross government blog about our work with data and the way we’re using performance analysis and data science techniques to improve service delivery and policy outcomes, and our work to find, access and use open government data.