Quality Page

Our Commitment to Data Quality

Reliable insights start with reliable respondents. Veriva Insights applies a layered quality-control process designed to improve data accuracy and reduce poor-quality responses.

Quality Measures

Respondent Screening

Participants are screened against project requirements, demographics, location, behavior, professional profile, and category usage.

Duplicate Review

We monitor for duplicate participation using available technical and project-level checks.

Speeding Detection

Completion times are reviewed to identify responses completed too quickly.

Straight-Line Checks

Grid and scale questions can be reviewed for repetitive or low-engagement answer patterns.

Attention Checks

We support custom attention checks, trap questions, and logic validation.

Open-End Validation

Open-text responses can be reviewed for irrelevant, copied, or low-effort answers.

Quota Monitoring

Fieldwork progress is monitored against agreed quotas and target audience requirements.

Source Performance Review

Panel and supplier sources are evaluated based on response quality, completion performance, and project feedback.

Quality Management Resources

Explore our detailed quality governance page and ESOMAR 37 framework.