What was the state of QA at Anchor AI before QA Madness joined?

The product was already live but had no structured QA process. Testing was done occasionally by other team members without a clear flow or dedicated specialists. Bugs were logged in a separate document rather than a tracking system, and no smoke or regression testing was in place.

How did QA Madness set up the QA process for Anchor AI?

The QA engineer started with exploratory testing to learn the product, then introduced Jira for bug tracking, a standardized bug report template, pre-release testing instead of post-release, smoke testing after every release, and regression testing before each deployment.

What were the results of the QA engagement for Anchor AI?

Over 180 bug reports were submitted, including 50+ critical defects and blockers. After the QA specialist joined, the number of defects reaching production decreased significantly - all critical defects are now discovered and fixed before release.

QA Process Setup and Testing for the Meeting Platform

Daria Halynska

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Daria Halynska

Tags: compatibility testingexploratory testingfunctional testingmobile testingregression testingretestingsmoke testingUI testingweb testing

3 years ago

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