Qualtrics builds agentic AI research agents to deliver decision-ready insights in minutes
- Qualtrics outlined plans to build agentic AI research systems designed to take market research from business question to decision-ready answer in minutes.
- Roadmap centers on AI agents that auto-generate research plans, embed advanced methods such as MaxDiff or conjoint analysis, field studies using both human and synthetic panels, then deliver decision-oriented takeaways.
- Strategy includes connecting agents to an organization’s historical research library to reuse prior findings, then using synthetic panels to produce directional insights when gaps appear.
- Qualtrics projects adoption of agentic research systems to rise to 44% from 15% in next 6 to 12 months, with synthetic data usage expected to increase to 62% from 41%.
- Operating model targets faster turnaround versus traditional multi-week cycles, shifting researchers toward governance, rigor, and action-focused interpretation.
Disclaimer: This news brief was created by Public Technologies (PUBT) using generative artificial intelligence. While PUBT strives to provide accurate and timely information, this AI-generated content is for informational purposes only and should not be interpreted as financial, investment, or legal advice. Qualtrics International Inc. published the original content used to generate this news brief on May 11, 2026, and is solely responsible for the information contained therein.
