Webinar
Understanding how survey fraud is evolving
— and what it means for your data

The landscape of survey data quality continues to shift. AI-assisted responses, changes in respondent behavior, and growing fatigue are appearing more frequently in the projects we work on — often in ways that pre-survey checks alone don't fully capture.

Steve and Florian will share what the Rep Data team is observing across active research: which signals are becoming more common, how in-survey quality checks complement pre-survey screening, and what these patterns mean for the integrity of survey results.

The session includes a walkthrough of Rep Data’s new data quality visualization feature — comparing answer distributions before and after cleaning, question by question — to illustrate how data quality decisions shape the results researchers work with.

What you'll take away

• An overview of current trends in survey fraud and data quality

• Insight into how in-survey and pre-survey checks address different aspects of the problem

• A clearer understanding of how cleaning decisions affect individual question results

• A practical look at before-and-after answer distributions on real survey data

Who it's for

Researchers, sample managers, and data quality professionals interested in how the field is evolving — and what that means for the data they use every day.

Register

Free | Live session | Recording available