Independent Quality Assurance & Event Verification

Decisions affecting lives deserve evidence that has been independently verified.

At RAYID, we verify whether the evidence produced by others is accurate, credible, and worthy of the decisions it informs.

Our approach

A consistent, mixed-method verification approach

RAYID combines technology, field verification, and independent oversight, with the standard for each assignment agreed before verification begins.
Field verification kit: rugged tablet, GPS device, notebook, camera, data integrity report, and RAYID staff identification
01

Metadata verification

Checking GPS, timestamps, background recording and device data against collected data.

02

Random callback interviews

Re-contacting a random sample of respondents or beneficiaries to confirm reported information.

03

Spot checks and back-checks

Direct observation of data collection and field-visit using structured checklists to confirm data collection actually occurred as planned.

04

Audio recording and transcript cross-checking

Cross-reference recorded interviews against submitted data to detect fabrication or misreporting.

Who we serve

Organizations that are accountable for their evidence

01

Humanitarian organizations

Independent assurance over assessment and monitoring data used to target assistance and report results.

02

Development partners & donors

Verification of implementing-partner evidence before it informs funding, scale-up, or closure decisions.

03

Government institutions

Objective quality review of survey, registry, and programme data underpinning public policy.

04

International research institutions

Independent verification and quality assurance of research, assessment, survey, and MEAL data produced by other organizations.

05

Private sector

Independent verification and quality assessment of field data to strengthen confidence in evidence used for decision-making.

Insight. Quality. Impact.

Independent assurance, before the decision is made

Tell us what evidence needs verifying, and we will define the standard it should be measured against.