Choosing Your Synthetic Partner

The synthetic research market is expanding quickly, with new platforms, polished demos, and bold accuracy claims competing for attention. For insights teams evaluating AI research tools, the harder question is no longer whether synthetic data belongs in the conversation. It’s how to separate research-grade tools from confident claims.

In this webinar, Qualtrics will examine what researchers should look for when evaluating synthetic research platforms. The discussion will cover model training, validation methodology, accuracy benchmarking, and the questions teams should ask before choosing an AI partner. Attendees will also get a closer look at how Qualtrics built and tested its synthetic research model using research-grade data from millions of real respondents.

As synthetic data becomes more common in market research, teams need a clearer way to assess quality, reliability, and fit. This session will help you evaluate vendor claims more critically, understand what credible AI model validation should include, and make more informed decisions about where synthetic research can support your organization.

What You’ll Learn

• Questions to ask any synthetic vendor about model training, validation methodology, and being a good AI partner.
• What data to use to make your model better than your competitor.
• Metrics to use to validate your model accuracy.