8/25/25 — New AI Chat Data Sources
AI Chat now features more flexible source data selection including the ability to include quantitative data in AI chat.
What’s New
AI Chat has been significantly enhanced with new language model support and groundbreaking data integration capabilities. You can now access GPT-5, Claude Sonnet, and Claude Opus models, while combining quantitative survey data with qualitative voice responses in a single conversation.
The source selection system has been redesigned for maximum flexibility—select individual questions, multiple questions, or all responses based on your analysis needs. For the first time, quantitative questions can be added directly to AI Chat using the new “Add to Chat” button on the quant page.
Additional improvements include full screen mode for better readability and cleaner footnote-style citations when multiple sources are referenced.
Key Features
- New LLM Models: GPT-5, Claude Sonnet, and Claude Opus now available
- Quantitative Integration: Add survey quant questions directly to AI Chat context
- Flexible Source Selection: Choose individual or multiple voice response questions
- Cross-Referenced Analysis: AI analyzes relationships between qual and quant data
- Full Screen Mode: Enhanced interface for focused analysis sessions
- Improved Citations: Clean footnote format for multi-source responses
Why It Matters
This release enables comprehensive research analysis that was previously impossible by combining multiple data types in AI-powered conversations. Researchers can now compare participant segments, identify cross-data patterns, and derive insights from both quantitative metrics and qualitative feedback simultaneously.
Learn More
To learn how to use AI Chat with quantitative data and explore all the new capabilities, see our Ask AI guide.