Review Data Integrity Audit (QA)

Review Data Integrity Audit (QA)

1. 01

   Inventory all review sources and verify platform coverage

   List every platform where the client has a presence, including Google, Yelp, Facebook, and industry-specific sites. Confirm that your review management tool monitors each one, as gaps here mean missed feedback and skewed reputation data.

2. 02

   Check for duplicate or orphaned review records

   Scan the aggregated review feed for duplicates caused by API re-syncs or manual imports. Remove or merge these entries so response counts and sentiment analytics reflect reality.

3. 03

   Validate that review requests are only sent to verified customers

   Review the automation rules that trigger review invitations. Ensure they fire only after a confirmed transaction or service completion, and that suppression lists exclude staff, vendors, or disgruntled non-customers.

4. 04

   Confirm response status and timeliness for every review

   Pull a report of all reviews received in the last 30 days and flag any that lack a response or exceeded your client's SLA. Unanswered negative reviews are a churn risk and a local SEO signal you cannot afford to ignore.

5. 05

   Test that AI-generated reply drafts meet brand and compliance standards

   Sample at least 10 AI-suggested responses across different sentiment scores. Check for factual errors, overly generic language, or regulatory issues (e.g., HIPAA for healthcare clients) before they go live.

6. 06

   Verify that review data flows correctly into CRM and reporting systems

   Compare a sample of new reviews against what appears in the client's CRM or analytics dashboard. Mismatches indicate broken integrations that undermine your ability to tie reviews to revenue.

7. 07

   Document findings and assign remediation owners

   Create a summary of discrepancies, prioritized by impact on client reputation or reporting accuracy. Assign each fix to a team member with a deadline, and schedule a follow-up check within two weeks.