Webinar
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Synthetic data for research in 2026: Accuracy, validation & use cases
Synthetic data for research in 2026: Accuracy, validation & use cases
On-Demand
|
45 MIN
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.
Join this webinar to learn
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- Where synthetic outperforms traditional methods today
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- How Qualtrics validates synthetic panel models before release
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- A decision model for matching method to research question
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- 2026 adoption rates: What's hype vs. what's working
Watch now
Webinar
_
Synthetic data for research in 2026: Accuracy, validation & use cases
Synthetic data for research in 2026: Accuracy, validation & use cases
On-Demand
|
45 MIN
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.
Featuring
Qualtrics Edge
Ali Henriques
Global Director of EDGE Services
Ali, a market research practitioner, leads research innovation on Qualtrics Edge, which comprises of AI-powered tools and solutions, wrapped in human-powered services. With nearly 2 decades of market research experience, Ali spearheads thought leadership, guiding innovation pipeline for transformative research tools and supporting our legacy services business to deliver 10,000 projects per year.
Qualtrics
Emily Currie
Head of Research Experts for Qualtrics Edge
As the Head of Research Experts for Qualtrics Edge, Emily is a driving force behind the transformation of research services into an innovation incubator. Drawing on over a decade of experience in consumer insights, strategy and innovation with major brands like PepsiCo and Cars.com, she has a proven history of translating complex data into actionable growth strategies. Emily’s extensive background in both client and agency-side research allows her to balance established best practices with a bold vision for the future, leveraging technology to deeply understand and empathize with humans, empower teams and deliver strategic solutions.
The world’s top brands trust Qualtrics to deliver breakthrough experiences
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