Listen CTO explains self-reviewing agents for qualitative research

In a LangChain interview, Florian Juengermann, co-founder and CTO of Listen, walks through the architecture behind Listen's AI platform, which turns qualitative research from interviews, surveys, and focus groups into structured, traceable insights. The platform is built around three agents: a Composer agent for study creation, an interviewing agent that talks to hundreds or thousands of users in parallel, and a Research Agent that structures responses using a "virtual table" model where each row is a response and each column is an extracted feature. A self-reviewing subagent monitors report quality during asynchronous runs, and small models handle map-reduce classification across thousands of open-ended responses. The system has been rearchitected multiple times, including a full rebuild of the PowerPoint subagent using Claude's Code SDK.