CLEAN DATA, WRONG ANSWERS: THE NEW DATA QUALITY CRISIS

On paper, your insights look clean. But what if the biggest threats to data quality aren’t being caught?

In a real-world experiment, multiple approaches to respondent quality were evaluated, from pre-survey traffic controls to in-survey behavioral validation. The findings challenge common assumptions about what constitutes a “good” respondent in today’s research environment.

At The Quirk’s Event in NYC on July 29, 2026, Full Circle, Catapult Insights and Delta Faucet Company shared where traditional quality controls succeeded, where they fell short and why a layered approach to respondent validation is essential in an era of AI-assisted and increasingly sophisticated respondent behavior.

Key Takeaways

1. 1. Understand the difference between fraud prevention and respondent quality and why both matter to research outcomes.
      
      
   2. Learn where traditional quality controls succeed, where they fail and what hidden risks may still exist in “clean” datasets.
      
      
   3. Explore how layered validation approaches can improve trust in insights in an era of AI-assisted and increasingly sophisticated respondent behavior.