Deezer’s innovative teams process research in many ways. The company gathers feedback from the App Store, its community website, and its customer support portal. They send Qualtrics questionnaires to subscribers to understand preferences within features, but also perceptions of the overall experience.
As part of their plan to evaluate ways they could enhance Flow, Deezer ran an exploratory study on the music consumption of casual listeners, who are heavy Flow users. They used UserTesting to interview Deezer users from all over the world. The organization discovered that while heavy listeners choose music based on genres and artists, casual listeners select their music based on their moods.
After presenting these findings to the company’s executives, the teams got to work. Data scientists explored ways to identify and label emotions for 90 million songs. The User Research Team investigated how to identify the emotions of users. The resulting function that the company created allows Deezer’s algorithm to match music options with the listeners’ emotions.
Deezer tested Figma mobile prototypes with UserTesting. They recruited, moderated, recorded, and analyzed insights from contributors in the US, Mexico, Brazil, the UK, France, and Germany. After setting up a prototype test in UserTesting, product designers made live updates to their prototypes in response to early insights, without having to modify the original test configuration in UserTesting. This allowed Deezer to quickly perform iterative testing.
Which designs looked most appealing? How many choices did people prefer seeing? Which moods are most relevant and appealing to people? Once they had each feature the way they wanted it, Deezer ran additional rounds of UserTesting on the desktop version, which they had adapted from the mobile experience.