Making code for other people to use is hard work. We have to think about bugs, performance, integration, maintainability, and much more. Making user-friendly code is just one of the many priorities competing for time. In the case of the SOFA Stats Python library, user experience is not a nice-to-have. To be successful, SOFA Stats needs to reach beyond the Python community and be usable by people with very modest technical skills. UV makes this a lot easier but we should not underestimate the barrier to non-developers. The library needs to be appealing, welcoming, and even fun. Fun is not a word commonly associated with statistical programming so this clearly requires effort and a strategy. Which is where UX makes a valuable contribution. UX has a systematic hyper-focus on the people the code is intended for, and how to provide them with the best possible experience. For this project, three persona were identified: students, educators, and code contributors. Clarity about target users is crucial to avoid the natural tendency to develop software for people like ourselves. Instead of working from our own assumptions and hunches we interview a representative range of people. Care is taken to avoid only hearing what we want to hear. The process is also iterative. We listen, respond to what we hear, and try again. This talk will explain how UX techniques were used, and what changed in the SOFA Stats library as a result. Maybe you will be inspired to use UX to improve your own project.