DQC respondent quality signals will inform Logit’s proprietary Calibr8 platform and evolving quality models

Data quality isn’t only about removing bad respondents. Bob Fawson explores how respondent history can identify the Gold Standard ones worth keeping.

Learn how The Harris Poll strengthened its quantitative data quality governance with Data Quality Co-op. By continuously monitoring supplier performance and using objective quality data to guide procurement decisions, the company rebalanced 70% of its tracker sample within three months and reduced time spent reweighting data by approximately 80%.

At CRC in Chicago, DQC's Bob Fawson joined leaders from SampleCon, Lindt USA, and Sago to unpack new GDQ research on data quality—and what buyers still want to know about the data behind their insights.

Survey-level checks like completion speed and device data only tell part of the story. In a new Quirk's article, our CEO Bob Fawson explains what respondent history reveals that a single session can't—and why patterns across months matter more than minutes.

With DQC's database up 10x this year, we're getting a clearer picture of who's entering research—the respondents to watch for, and the ones worth holding onto. Here's what the numbers show.

New research tested 31 fraud detection methods and found combinations outperform individual checks—here's what respondent history could add to the ensemble.

First consulting firm to join the DQC network, adopting independent quality intelligence to strengthen confidence in the data that informs brand, growth and investment decisions

A webinar with Sago explores how to build a data quality tech stack that addresses fraud, synthetic responses and the full respondent journey.

Explore how data quality challenges are evolving as AI-assisted responses, professional survey takers and complex sample ecosystems reshape market research.