Synthetic data for research in 2026: Accuracy, validation & use cases
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. Conor Comerford and Jordan Harper 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
Synthetic data for research in 2026: Accuracy, validation & use cases
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. Conor Comerford and Jordan Harper break down where synthetic wins, where it doesn't, and how to validate accuracy before staking your credibility on it.
Featuring
Conor Comerford
Conor is the lead Research Expert for Qualtrics Edge in EMEA. He has over 12 years of market research experience across Qualtrics and research agencies. He helps clients design and execute impactful research, and specialises in product, proposition and pricing studies.
Jordan Harper
Armed with over 20 years of experience in technology, as a developer, strategist and leader, Jordan translates tech opportunities into plain English, helping businesses and brands adapt and thrive as customer expectations increasingly outpace traditional product management roadmaps.
He is passionate about understanding and solving difficult problems, building and supporting brilliant and motivated teams to deliver amazing digital products, and promoting inclusive working environments that encourage diversity of thought and of people.