AI in Research

How artificial intelligence is changing market research, from synthetic data and AI-powered fraud detection to the risks of AI-generated survey fraud.

Market researcher and panel provider reviewing survey data together, protecting data integrity

Data Integrity Starts at the Door: How Market Researchers and Panel Providers Are Locking Out Fraud

In today’s AI-infiltrated market research landscape, data integrity isn’t just a benchmark—it’s a business imperative. Clients rely on insights that guide critical decisions, and anything less than high-integrity data threatens both the credibility of the research and the outcomes it’s meant to inform. Yet maintaining that integrity is harder than ever, thanks in part to the increasing

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Clean survey responses separated from rushed and fake answers, illustrating survey data quality

Escape the Fraud Trap: A Proven Way to Cleaner Data

Online surveys have transformed market research. They’ve made consumer insights faster and more accessible, but they’ve also created real challenges for survey data quality. Researchers juggle multiple projects and tight deadlines. Meanwhile, professional survey takers, bots, and sophisticated fraud techniques threaten the validity of their findings. Traditional quality control often falls short. As a result,

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Abstract digital data streams forming a human silhouette, representing synthetic data

Beyond the Buzz: A Surprising Way to Love Synthetic Data

The market research industry keeps evolving through technology. Advances in respondent verification and panel quality have strengthened our ability to gather authentic insights. Meanwhile, synthetic research has emerged as an intriguing new option, and understanding the types of synthetic data is the first step to using it well. But in an industry built on understanding

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