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Hi [if:first_name]%%first_name%%,[else]there,[endif] 90% of researchers using synthetic data report high satisfaction - and rate it more reliable than traditional panels for concept testing, segmentation, and UX validation.
But, synthetic doesn't replace everything. Knowing where to use it, and where not to, is what separates teams building faster insight pipelines from teams taking methodological risks they can't defend.
Conor Comerford and Jordan Harper are breaking this down live on May 28. You'll leave with: - A decision framework for matching method to research question
- A clear picture of what's actually working in 2026 - backed by data, not vendor promises
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