Attribution Integrity Check (QA)

Attribution Integrity Check (QA)

1. 01

   Verify call tracking numbers are correctly mapped to campaign sources

   Confirm each tracking number in the platform corresponds to the intended marketing channel, ad group, or keyword. A mismatch here silently corrupts every downstream attribution report.

2. 02

   Audit recording capture rates against expected call volumes

   Compare the number of recorded calls in the platform to the client's telephony logs. A capture rate below 95% indicates integration gaps that will skew QA scoring and insight extraction.

3. 03

   Validate transcription accuracy on a sample of calls

   Listen to at least 10 random recordings and compare the AI transcription to the actual audio. Note recurring errors such as misheard product names or numbers, and flag them for vendor tuning.

4. 04

   Check that QA scoring rubrics align with client-defined KPIs

   Review the scoring criteria in the platform against the client's service level agreements and coaching priorities. Misaligned rubrics produce performance benchmarks that do not reflect what the client actually values.

5. 05

   Confirm data privacy settings restrict access to authorized personnel only

   Ensure role-based permissions are configured so that call recordings and transcripts are visible only to team members who need them for delivery or reporting. This is critical for compliance with data protection regulations.

6. 06

   Test integration with CRM and analytics platforms for closed-loop reporting

   Verify that call outcomes and revenue data flow back into the client's CRM or analytics stack. Without this integration, the platform cannot deliver the closed-loop optimization that justifies its cost.

7. 07

   Document any discrepancies and schedule a remediation review

   Log all issues found during the audit in a shared tracker, assign owners, and set a follow-up meeting within five business days to ensure fixes are implemented and re-tested.