Home/Data Quality
Data quality

Quality is a process around the brief — not a badge on a card.

DATA ORCHID applies project-appropriate screening, identity and participation checks, validation logic, response review and reconciliation. VeritasIdentity may be used as part of the respondent validation framework where applicable.

DATA ORCHID quality control framework
Quality path connecting project fit, participation signals, response review and buyer outcomes
Practical data quality controls covering source, geography, duplicate controls, consent and reconciliation
Next step

Need quality controls mapped to a buyer brief?

Start with the audience, study design and acceptance requirements.