  Collecting accurate and fine-grain information about the music people like,
dislike and actually listen to has long been a challenge for sociologists. As
millions of people now use online music streaming services, research can build
upon the individual listening history data that are collected by these
platforms. Individual interviews in particular can benefit from such data, by
allowing the interviewers to immerse themselves in the musical universe of
consenting respondents, and thus ask them contextualized questions and get more
precise answers. Designing a visual exploration tool allowing such an immersion
is however difficult, because of the volume and heterogeneity of the listening
data, the unequal "visual literacy" of the prospective users, or the
interviewers' potential lack of knowledge of the music listened to by the
respondents. In this case study we discuss the design and evaluation of such a
tool. Designed with social scientists, its purpose is to help them in preparing
and conducting semi-structured interviews that address various aspects of the
listening experience. It was evaluated during thirty interviews with consenting
users of a streaming platform in France.
