From database to data-driven decision making
...our live system to build our knowledge of our data, our users and their needs. We can then turn that user data into better product decisions to enable our users...
...our live system to build our knowledge of our data, our users and their needs. We can then turn that user data into better product decisions to enable our users...
...DIT could use data in new and creative ways to solve or fix problems. We shortlisted the best ideas to be brought to life, with the help of an assigned...
...to learn, attending sessions, and analysing insights - also increases the likelihood of identifying more diverse user problems. Several rounds of user research revealed these themes: users felt they were...
...a website with so much to offer and a wealth of text data, there are many potential opportunities to use AI. While it goes without saying that value to users...
...large codebases is interesting because you learn to operate with a range of new technologies and because it prompts many debates about the best ways to solve complex and interconnecting...
...start to finish), co-design and more exploratory studies. To make this possible, we’re equipping non-user researchers - like product managers, designers, and other delivery team colleagues - to carry out...
...they aim to achieve efficiency. One size cannot fit all, so we use agnostic code to bridge the differences. This means that we can work effectively in any computer language...
...onto the wider system as part of these improvements. Participants responded well to the use of the task list to organise our export support in user research, as the site...
...agile product teams. The teams work closely with a diverse range of users and stakeholders to ensure that improvements meet user needs and align with DBT’s strategic objectives. Users benefit...
...old system used to apply for export licences for controlled goods, software and technology, is reaching the end of its lifetime. And for the last few months a team in...