Sample Answer
In my last role, we had a client pilot launching on a Monday with a hard deadline, and on Friday afternoon we realized our final QA pass was only about 30% complete. We had 40 test cases left and no option to push the date. I sat down with our lead and categorized tests into high, medium, and low risk based on customer impact and historical defect data. We focused on the 15 high‑risk scenarios that covered about 80% of real usage, then automated smoke tests for the rest to run overnight. The trade‑off was less depth on edge cases, but we didn’t compromise on anything tied to data integrity or regulatory requirements. Post‑launch, we logged only two minor issues from 300+ users. For Pura Solutions, I’d apply that same risk‑based mindset and clear communication about what’s being consciously de‑scoped.
Keywords
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