In a world flooded with surveys and feedback tools, how can you be sure your research data is actually reliable? Join Crystal Wiese (Director of Marketing at QuestionPro), Bob Fawson (Co-Founder of Data Quality Co-op), and Tim Cornelius (Director of Audience at QuestionPro) for a practical conversation about data quality in research, why it breaks down, what red flags to watch for, and what you can do to protect the integrity of your insights. In this session, we’ll cover: ✅ The real causes behind low-quality or misleading data ✅ How to design research that filters for honesty, clarity, and relevance ✅ The role of tools, timing, and targeting in capturing accurate responses ✅ What’s next: AI, bots, and the new frontier of research fraud detection Whether you're running customer experience programs, market research, or employee feedback studies, quality data is the foundation of smart decision-making.