Panel Quality

Also known as: Data Quality, Survey Quality, Panel Reliability

Set of metrics evaluating the reliability and authenticity of respondents in an online research panel.

Panel Quality (PQ) refers to the set of metrics and practices that evaluate the authenticity, reliability, and relevance of participants in online market research panels.

Main panel quality dimensions: (1) Authenticity—are respondents real people or bots?; (2) Engagement—do they respond thoughtfully or are they speeders/straight-liners?; (3) Profile validity—are their declared characteristics real?; (4) Survey fatigue—do they take too many surveys, reducing response quality?; (5) Representativeness—do they adequately represent the target population?

Quality control techniques include: attention checks, minimum response time, straight-lining red flags, logical inconsistency validation, and device/CAPTCHA verification.

Atlantia has proprietary data quality control protocols that go beyond the standards of panel providers.