Synthetic data for research in 2026: Accuracy, validation & use cases

Wednesday, March 4, 1:00pm - 1:45pm (EST)

Time shown in-04:00 America, New York

Business decisions move faster than traditional panels can field. When research takes weeks, stakeholders make decisions without it—using gut instinct or generic AI instead of validated insights. That's not a resourcing problem. It's a timeline problem.
Research teams are solving it with synthetic data for specific use cases: concept testing, segmentation, UX validation. Not as an experiment—as standard practice. Satisfaction rates hit 90%, and reliability often exceeds traditional online panels. What seemed speculative in 2024 became operational in 2025.

The teams succeeding aren't replacing traditional methods entirely—they're being strategic. Ali Henriques and Emily Currie break down where synthetic wins, where it doesn't, and how to validate accuracy before staking your credibility on it.

What you’ll walk away with:

Where synthetic outperforms traditional methods today
How Edge Audiences validates models before release
A decision model for matching method to research question
2026 adoption rates: What's hype vs. what's working

Add to Calendar 2026/03/04 10:00:00 2026/03/04 10:45:00 America/Los_Angeles Synthetic data for research in 2026: Accuracy, validation & use cases Business decisions move faster than traditional panels can field. When research takes weeks, stakeholders make decisions without it—using gut instinct or generic AI instead of validated insights. That's not a resourcing problem. It's a timeline problem.
Research teams are solving it with synthetic data for specific use cases: concept testing, segmentation, UX validation. Not as an experiment—as standard practice. Satisfaction rates hit 90%, and reliability often exceeds traditional online panels. What seemed speculative in 2024 became operational in 2025.

The teams succeeding aren't replacing traditional methods entirely—they're being strategic. Ali Henriques and Emily Currie break down where synthetic wins, where it doesn't, and how to validate accuracy before staking your credibility on it.

What you’ll walk away with:

Where synthetic outperforms traditional methods today
How Edge Audiences validates models before release
A decision model for matching method to research question
2026 adoption rates: What's hype vs. what's working

https://event.on24.com/wcc/r/5226461/FE9C76E05200E6E00B747F0A911B2681 false MM/DD/YYYY 30 OPAQUE aafiBVKNczcJEUNkLmkN34551

https://event.on24.com/wcc/r/5226461/FE9C76E05200E6E00B747F0A911B2681

Qualtrics Team, success@qualtrics.com

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