
Optimizing Software with Performance Testing
By Rocío Belfiore13 min readQA and Testing
A practical guide to designing QA process and acceptance testing strategy, for engineering leaders deciding how much testing rigor their team actually needs.
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By Rocío Belfiore13 min read


By Emma White10 min read
By Michael Warren16 min read
By James Miller7 min read
By Elizabeth Moss9 min read
By Paul Baker9 min read
1 in 5 Software Projects Lack QA. That’s a Strategic Failure, Not a Hiring One
How Exploratory Testing Reveals Hidden Issues
How to Test Your MVP
Why Test Scripts Are Important for Quality Assurance
Manual QA Is Not Dying, Not Even in the Era of AI. Here’s WhyThis section covers how engineering teams build a QA process that holds up under real release pressure, not just a checklist for an audit. We write about acceptance testing because it is the step where most teams either catch what actually matters or let through a regression that costs support a bad week. The articles here come from people who have run test cycles, argued over severity labels, and shipped fixes against a deadline. If you are deciding how much process your team actually needs, start here.
We cover the distinction between checking that software was built correctly and checking it solves the right problem, which shapes verification and validation practices. Bug triage gets separate treatment too, since teams that confuse impact with urgency waste sprint time, a problem addressed directly in our piece on bug severity versus priority. For teams building a testing function from scratch, our overview of acceptance testing fundamentals is a reasonable place to begin.
When a team needs outside capacity to run this properly, our QA and testing services take on planning and execution without requiring a rebuilt pipeline first. Teams further along in automating checks should look at our Test Automation coverage, and larger engagements needing dedicated test leads can start with our software testing services page.