In our previous article, we explored the "Silent Struggle" of QA: how your critical work often goes unnoticed compared to the more visible output of developers and product managers. If you would like to refresh how to make your work visible, check out our previous article.Â
We have already mentioned that helping your managers solve their problems is one of the most effective ways to grow. Now we will go deeper into that and break down a real-life example.Â
What does leadership typically care about most? Speed, cost, risk, and compliance. If you are the one who solves problems related to these issues, it will certainly make you stand out. Below you will see typical QA problems (perhaps you’ve faced them in your workplace) and solutions to them. A little spoiler – the solution is automation, and the data is based on a three-year enterprise study that you can check out below.Â
Problem #1: Slow software releases Â
Manual testing processes create bottlenecks. Testing cycles can take weeks, delaying critical updates. According to the study, the company using testing automation tools reduced testing cycles by 67%, accelerating test cycle frequency to 3x its prior capacity.Â
Problem #2: Testers are overloadedÂ
Test automation may give each team member back hundreds of working hours. This time can be spent on more meaningful work instead of repetitive manual testing.Â
Problem #3: Patch complianceÂ
Lengthy test cycles prevent teams from deploying critical patches on time. With automation, regression testing cycles can be reduced by up to 75%, enabling teams to move to N-0, deploying the latest patch within 60 days. This improved both security posture and compliance with SLAs.  Â
Problem #4: The audit oneÂ
Scrambling for evidence across emails, spreadsheets and documents burns time, nerves and increases the risk of audit failure. Centralized test management tools reduce time spent on audit-related activities by 25%.Â
Problem #5: Spiraling QA costs and no visible ROIÂ
The study revealed a 300+% ROI with payback in under 6 months with automated testing. Since it can save you testing time, team effort and reduce duplication. And here we are talking about substantial automation coverage (eg. 20% of processes being automated won’t make the magic happen).Â
Â
👉If you would like to dig deeper into this data, check it out here hereÂ
👉Want to learn more about Oracle? Join our group here!
