Quant Copilot for Video Response

Quant Copilot can now interpret Video Response data, letting researchers explore video performance, audience preferences, and related insights through natural language rather than reviewing video results manually. Researchers can now ask questions about video performance, comparisons, rankings, audience preferences, and segment-level differences directly through Quant Copilot.

This makes it possible to identify stronger and weaker performing videos, compare specific assets against each other, and understand how preferences differ across audience segments. Quant Copilot generates insights and recommendations based on the underlying study data as part of answering these questions, rather than the researcher needing to work through the raw video results themselves to reach the same conclusions. This extends the same natural-language exploration Quant Copilot already offered for other data types to video specifically, closing a gap that previously required manual review of video responses one at a time.