Quant Copilot Enhancements

Quant Copilot has been rebuilt on a revamped underlying architecture, with wider study coverage and better handling of the questions researchers ask it. Researchers can now ask more complex questions that span survey data, UX data, and media-based research all at once, including multi-hop questions that pull together multiple components within a single study rather than just one at a time. Quant Copilot can now also interpret Eye Tracking data alongside the First Click data it already supported, and gives noticeably better responses to questions specifically about study metadata.

Alongside this, the updated experience handles irrelevant or unsupported queries more gracefully than before, rather than returning a confusing or unhelpful result. Since researchers often need to connect findings across several different data sources within the same study, this expanded support for UX blocks, media data, Eye Tracking, and cross-study querying lets Quant Copilot give more complete and accurate answers. The overall aim is to help teams reach insights faster while cutting down on the manual analysis that used to be needed to connect these pieces themselves.