Conjoint Support for Quant Copilot

Quant Copilot now supports Conjoint studies, so researchers can explore respondent preferences and product trade-offs through natural language conversation instead of reading through the raw conjoint output themselves. Specifically, researchers can now ask about attribute importance, preferred feature combinations, utility scores, respondent preferences, and optimal product configurations, and get an answer directly from Quant Copilot.

This makes it easier to interpret conjoint studies, which are typically some of the more complex quantitative study types to read on their own. It also makes it faster to identify which features are actually driving respondent preferences, which in turn speeds up product and concept evaluation, since researchers don't need to manually work through utility scores or trade-off calculations themselves.