Copilot for Qualitative Studies

Copilot now works with qualitative projects, bringing together recordings, transcripts, uploaded files, analytics, highlights, and media-level insights into a single place researchers can search and ask questions against. Researchers can ask natural language questions directly within a qualitative project and get AI-powered answers backed by both what was said and how it was said. Copilot can read recordings, transcripts, uploaded files, highlights, and analytics such as emotion, attention, and gaze to put together structured answers, along with supporting evidence and references back to the original material.

These questions can be asked at the project level, the participant level, or down to an individual piece of media, making it easier to look into one specific moment or spot a pattern across everything gathered in the project. Qualitative insights are often spread across recordings, transcripts, analytics, and highlights, which makes piecing them together slow and disconnected. With Copilot now searching across all of this at once, teams can move from reviewing raw material to drawing conclusions faster, and get a fuller picture by combining what participants said with how they said it.