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 Learn:

• Where synthetic outperforms traditional methods today
• A decision model for matching method to research question
• 2026 adoption rates: What's hype vs. what's working