Pre-field Checks
Questionnaire logic, screening risk, device experience, survey length, and quota stress are reviewed before launch.
Quality System
MEEGE treats data quality as an operating discipline: eligibility, source transparency, behavioral signals, open responses, and final file review all matter.
Questionnaire logic, screening risk, device experience, survey length, and quota stress are reviewed before launch.
Completion speed, failure rates, suspicious patterns, source balance, and incidence changes are tracked during fielding.
Open-end relevance, straight-lining, duplicate risk, contradiction checks, and quality flags are evaluated before delivery.
Controls
Clients receive not only the response file, but the operational context behind it, including exclusions, field notes, and source-level observations when applicable.
Duplicate and location risk checks support source-level quality decisions.
Instructional items, speed review, and consistency checks identify low-engagement responses.
Text answers are screened for relevance, duplication, and unnatural response patterns.
Field notes explain supply mix, risk actions, and any practical limitations.