Despite years of research and development of static code analysis tools, industrial adoption of such tools still shows high abandonment rates. End-user experience highlights common issues that severely impact tool adoption. Long waiting times, numerous false positives, and a high number of warnings count among them. While past research has largely focused on improving the scalability and the precision of the tools, we advocate the notion of designing static analyses in a user-centric fashion. We achieve this by embedding the needs of the end-users - the code developers- into the analysis, providing them with tools that make static analysis easier to understand and to handle.