TL;DR
- If regression takes days instead of hours, that’s usually the first sign your QA process needs improvement.
- This is a practical look at how to improve software quality assurance process without freezing your release calendar to do it.
- Real software QA process improvement is a 9-step effort, starting with shifting QA left and ending with training the team on new tools.
- Track a handful of QA metrics - defect leakage, test coverage, regression cycle time - rather than everything at once.
- AI-assisted testing is a growing trend, but adoption is uneven: Capgemini found only 15% of organizations have scaled GenAI in QA enterprise-wide.
- QA maturity builds gradually - the biggest mistake teams make is trying to automate and overhaul everything in one release.
Intro
Teams that push their release cadence up often discover their QA process wasn’t built for the new pace. A full regression that used to run overnight now takes three days, so either releases slip or someone quietly decides to skip half the test suite. Neither is a good long-term plan.
The industry data backs up what that feels like on the ground. Per the Capgemini World Quality Report 2025-26, 58% of organizations cite challenges adopting AI-powered testing tools, and only 15% have scaled GenAI in QA enterprise-wide. Most teams know they need to improve software testing process maturity - the gap is in actually doing it without stalling delivery.
Signs your QA process needs improvement
- A high percentage of production bugs, also known as defect leakage.
- Full regression takes days rather than hours.
- QA only gets pulled in near the end of a sprint, not the start.
- No clear severity classification for defects.
- Releases regularly slip because testing wasn’t finished in time.
- Low test coverage on the user flows that actually matter most - a reliable early sign that QA maturity hasn’t kept pace with the product.
How to improve your software QA process: 9 steps
These are the nine concrete steps to improve quality assurance without turning your release calendar upside down - and the QA process best practices most mature teams already follow in some form.
- Shift QA left. Bring QA into requirements discussions instead of waiting for a finished feature.
- Define clear entry and exit criteria for every phase, so nobody’s guessing when testing is “done enough.”
- Build a risk-based test matrix that prioritizes the flows where a bug would actually hurt.
- Expand automated regression coverage so the suite catches what a human reviewer would miss under time pressure.
- Standardize defect tracking and severity classification across the whole team, not just within QA.
- Integrate continuous testing into the CI/CD pipeline so tests run on every merge, not once a week.
- Track QA metrics that actually predict quality, not just ones that are easy to pull.
- Review test cases regularly - stale test cases waste time and hide real gaps.
- Invest in training so the QA team can use new tools instead of working around them.
QA metrics that show real improvement
| Metric | What It Measures | Target Direction |
|---|---|---|
| Defect leakage rate | % of bugs found in production | Lower |
| Test coverage | % of code covered by tests | Higher |
| Escaped defects per release | Production bugs found after release | Lower |
| Regression cycle time | Time for a full regression run | Lower |
| Automation coverage | % of test cases automated | Higher |
Tools that help modernize QA processes
- Test management - TestRail, Zephyr
- Automation - Selenium, Playwright, Cypress
- CI/CD integration - Jenkins, GitHub Actions, GitLab CI
- AI-assisted testing - a fast-growing category, though the Capgemini report above suggests most teams are still early in adopting it
None of these tools fix a broken process by themselves - they’re most useful once the qa process best practices above are already in place.
Common mistakes when improving a QA process
Even teams that know the right steps to improve quality assurance manage to trip over the same handful of mistakes.
- Automating everything at once instead of prioritizing high-risk scenarios first.
- Rolling out one giant process change instead of iterating gradually.
- Leaving developers out of QA metrics and retros, which makes quality feel like someone else’s job.
- Tracking too many metrics without a clear view of which ones actually matter.
- Skipping training on new tools, which quietly kills adoption within a month.
Is your QA process falling behind your release pace? Tell us about your current workflow - we’ll help you put together a plan to close the gap. Talk to CodeGeeks →
How CodeGeeks Solutions Can Help
Our Vibe Coding Cleanup as a Service is built for exactly this situation - codebases and test suites that grew faster than the QA process around them. Combined with our software development services for startups, we help teams rebuild test coverage and defect tracking without freezing the roadmap to do it.
Final Thoughts
A QA process that worked fine a year ago can quietly stop keeping up as release velocity increases, and the fix is rarely one big rewrite. Shift QA left, track a handful of metrics that actually predict quality, and roll out changes gradually enough that the team can absorb them. If you’re wondering how to improve software quality assurance process without a full rebuild, that gradual approach is the answer - the teams that get this right treat it as an ongoing habit, not a one-time project.
Looking to improve QA process maturity but not sure where the biggest gains are? Reach out to CodeGeeks - we can help you figure out where to start.
FAQ
How often should you review your QA process?
At least once a quarter, or any time release velocity or defect leakage shifts noticeably.
What is defect leakage rate?
The percentage of bugs that make it into production instead of being caught during testing.
Should QA be part of every Agile sprint?
Yes - shift-left practices work best when QA is involved from planning through review, not bolted on at the end.
How much of testing should be automated?
Enough to cover core and high-risk flows reliably; manual testing still matters for exploratory and usability work.
What’s the first step to improving a QA process?
Shifting QA left - getting testers involved in requirements and planning instead of only at the end. It’s the single most effective step to improve quality assurance on a team that’s behind.
Do you need a dedicated QA team to improve testing?
No. Even without a dedicated team, defining entry/exit criteria and building a risk-based test matrix is enough to improve QA process outcomes, and it’s also where most software QA process improvement efforts naturally start when there’s no time to improve software testing process maturity all at once.
