Nowadays, users can easily submit feedback about software products in app stores, social media, or user groups. Moreover, software vendors are collecting massive amounts of implicit feedback in the form of usage data, error logs, and sensor data. These trends suggest a shift toward data-driven user-centered identification, prioritization, and management of software requirements. Developers should be able to adopt the requirements of masses of users when deciding what to develop and when to release. They could systematically use explicit and implicit user data in an aggregated form to support requirements decisions. In this talk we will present and discuss most recent achievements in this direction since the paper’s original publication. We will also show to mine data sets mobile apps, give a few success/failure stories and a few practical advises. This paper have been invited by IEEE Software journal to submit into this track.