Search
On-Site Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Change Preferences / Time Zone
Sign In
Bluesky
Threads
X (Twitter)
YouTube
Interviews are rich tools valued for their flexibility, responsiveness, and capacity to surface participant meaning. Yet this openness also leads to analytic difficulty: having different questions asked in different ways makes it difficult to navigate large collections of transcripts. Fortunately, recognizing that interviewer questions often recur across interviews that explore a shared topic allows us to treat them as landmarks in a shared topical landscape. By clustering recurring questions, we can uncover an emergent structure that reflects the underlying interview protocol. We propose an open-source software package that constructs this map given a collection of interviews, allowing for quick retrieval of relevant responses, visualizations of common pathways, and further exploratory analyses.