How can terrestial radio take better action on listener feedback?
Ever wonder why you hear some songs more than others? iHeart uses Nielsen ratings, surveys, and interviews to understand how often they need to play a song. They didn’t have a good way of implementing this data across all of their 855 radio stations.
I started evaluating thier current tools using Jakob Nielsen’s 10 Heuristics for Usability. After generating this report I sat down with DJs, Program Directors, and Station Managers to understand their work flows. As I designed workflows we validated them with user testing.
When music research scores arrive songs are sorted into categories based off of a proprietory scoring system and weighting based on station type.
During interviews I discovered the DJ’s favorite part of their job is looking for the one song that is going to explode. I wanted to make sure they could still grab that song and bump it up the list.
By intertwining data and the human touch we created an environment where DJ’s can easily take action on listener feedback and identify songs that are on the verge of breaking out.
