...help understand syntax. We’ve written before about NLP for classifying user feedback and tagging pages of GOV.UK, and the Ministry of Justice have used it to identify document relationships. At...
...new digital propensity user groups for products and services. The goal of the modelling was to understand how these changing customer profiles would affect users' willingness and ability to use...
...responsibly innovate. It was first published in 2016 and was reviewed again in 2018. The latest version, published this month, has been updated following extensive consultation with users of the...
...a centralised API hub: High user interest: Most users were keen on a central space for APIs Better efficiency: Users felt a shared API space would reduce duplication of effort...
...to private beta. Reasons The service is meeting user needs has done extensive user testing with real users. The assessment panel were impressed with the frequency of testing and the...
...to create the following visualisations. Firstly, the KPIs: All the KPIs visualised User satisfaction and Digital Take Up were the two highest ranked modules. Our users said they put these...
...of how this channel fits into the wider payments strategy for HMRC demonstrated a strong, pragmatic approach to creating a positive user experience. The platform has been designed with user...
...post. Manual eligibility checks are a pain for users Around 50% of government services require users to prove their eligibility. This often means the user digging out a letter or...
...look for specific accessibility content issues. We wrote it in Python, as it’s a GDS-supported programming language, and structured the code in a way that allowed us to write and...
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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.