Quality System

Controls before, during, and after fieldwork.

MEEGE treats data quality as an operating discipline: eligibility, source transparency, behavioral signals, open responses, and final file review all matter.

01

Pre-field Checks

Questionnaire logic, screening risk, device experience, survey length, and quota stress are reviewed before launch.

02

Live Monitoring

Completion speed, failure rates, suspicious patterns, source balance, and incidence changes are tracked during fielding.

03

Response Review

Open-end relevance, straight-lining, duplicate risk, contradiction checks, and quality flags are evaluated before delivery.

Controls

Quality is visible in the final handover.

Clients receive not only the response file, but the operational context behind it, including exclusions, field notes, and source-level observations when applicable.

Identity Signals

Duplicate and location risk checks support source-level quality decisions.

Attention Logic

Instructional items, speed review, and consistency checks identify low-engagement responses.

Open-End Review

Text answers are screened for relevance, duplication, and unnatural response patterns.

Source Reporting

Field notes explain supply mix, risk actions, and any practical limitations.