Analytics defects are inexpensive to fix before release and frustrating to reconstruct afterwards. A compact QA routine gives engineers and analysts a shared definition of done.
Test against the specification
Use a checklist generated from the approved tracking plan. Confirm exact event and property names, types, allowed values, and firing conditions. Save evidence for each scenario so reviewers can distinguish tested behaviour from assumptions.
Include identity transitions
Test anonymous use, sign-up, sign-in, sign-out, account switching, and reinstall behaviour where relevant. Confirm that identity stitching follows your platform’s documented model and privacy choices.
Exercise imperfect journeys
Network loss, repeated taps, failed payments, abandoned flows, denied consent, backgrounding, and old app versions can produce duplicate or missing events. Include the edge cases that matter to the decision the data will support.
Every app has its own cadence, user intent, and technical constraints. Apply these ideas as a starting framework, then test the definitions against your product context.