1. Panel Quality
We prioritize respondent reliability through validation controls, duplicate prevention, inactive-member management, anti-fraud checks, and continuous panel health monitoring.
Quality
Quality Management
Veriva Insights manages quality through panel quality, data quality, and information security quality to support reliable research outcomes.
2. Data Quality
Our teams and workflows support quality before, during, and after fieldwork with logic checks, in-field monitoring, and structured data cleaning for cleaner final datasets.
3. Information Security Quality
We follow data protection, security, and privacy governance practices aligned with international expectations and applicable regional legal requirements.
Panel Quality Focus
- Registration validation (email/mobile verification where applicable)
- Profile refresh to maintain respondent attribute accuracy
- Balanced member acquisition to reduce response bias
- Deduplication controls at panel and project level
- Inactive member management to improve panel responsiveness
- Anti-fraud checks such as speeding and inconsistent response screening
- Trap/attention checks to identify low-quality participation
Data Quality Workflow
Before Surveys
- Questionnaire and routing checks before launch
- Logic validation and test review
- Workflow consistency controls for operations teams
During Surveys
- Deduplication and in-field participation controls
- Real-time monitoring of response and quota status
- Field progress tracking against target conditions
After Surveys
- Raw data cleaning and quality screening
- Removal of invalid, fraudulent, or contradictory responses
- Post-field quality review aligned to project requirements