Quality Assurance is a nuanced and developing area that can’t be neglected. The more advanced and feature-rich your product is, the more potential points of failure you need to look out. Let’s look at some of the key test management pitfalls so that your product does not have to stare down at them.
Quality Assurance often becomes an afterthought when deadlines loom, but the most effective teams make it part of their development DNA from day one. These quality management challenges rarely announce themselves early, but they’re simple to catch once you know where to look. Discover how to solve the ten most common QA management problems in the article below 👇
A QA process rarely collapses overnight. It wears down through small workarounds that accumulate until a release ships broken or a customer reports something the team should have caught first. Left unaddressed, these problems with quality assurance carry a real cost: the Consortium for Information and Software Quality estimated that poor software quality drained $2.41 trillion from the US economy in a single year, with most of that tied up in unresolved technical debt.
Look for these patterns before they reach that stage:
None of this calls for a full rebuild. It calls for shared tracking, defined workflows, and metrics like deployment frequency and defect escape rate that show whether testing keeps pace with development.
Not knowing the state of your QA means bugs reach production before anyone catches them. But teams embedding quality checks during feature planning cut bug escape rates nearly in half. This shift from reactive testing to proactive risk-spotting transforms your entire delivery flow. They may literally lack dedicated people to find and report issues, and devs simply have to make sure that software runs at all. This often brings awkward workarounds that are not easy to pinpoint and resolve a few months later.
This video also covered additional QA management issues and the ways to solve them.
Even if you don’t have the resources to fix QA issues at the moment, you need to be aware of them. A few smaller issues may result in a severe defect, and now you can’t trace those smaller issues to do a quick fix. Onboarding QA specialists, once you have the resources, will be a bit frustrating and inefficient when they don’t know quite what to fix and/or which fixes to prioritise.
What you need here is to start listing defects early in an issue tracker solution. You may use a dedicated bug tracker or adopt an Application Lifecycle Management tool that works for both software development and quality assurance. The second approach is better if you pay for a development issue tracker or know that you will have to upgrade anyway.
Proven ALM that saves hours on both development and QA management
Developer and QA communication breaks down when bug details get lost between chats, calls, and tickets. Troubleshooting complex issues may require a dev and QA specialist to go over the same defect several times. This gets pretty chaotic if done on work messengers or, even worse, verbally.
Your best option here is to utilise the discussions functionality of the tool that you use for QA problem management. Public communication is how both the people involved and their colleagues can trace the lifecycle of the bug and pick up the mantle if needed. Opting for the issue tracker over company messenger will also help developers focus on non-QA tasks, then come back to a defect when they have the time.
Solid QA–developer collaboration catches bugs early and cuts down friction. Here’s a tactic that’s proven effective: the ‘Three Amigos’ meeting.
Before any coding starts, bring together the product owner, a developer, and a QA specialist to quickly align on acceptance criteria and edge cases, think 15 minutes, not an hour. Instead of treating QA as the final checkpoint, embed QA directly into your development squad. This shift makes quality everyone’s job from story kickoff through release.
Developers start writing better tests when they’re working alongside QA daily rather than throwing code over the wall. Start simple: try one ‘Three Amigos’ session this week for your next user story and watch how much clearer your requirements become.
I think one of the hardest parts of QA management in real projects is balancing quality with tight deadlines. Teams often need to test thoroughly while releases are happening quickly, which can create pressure.
You measure QA progress with metrics that show whether testing catches issues that matter, not everything at once. Did you improve the quality by squashing some UI bugs that didn’t affect functionality but were very noticeable? Was fixing a potentially critical issue a good way to apply the effort if the problem never occurred?
You need meaningful QA metrics that actually move the needle. Track deployment frequency, change failure rates, and defect escape rates. These three give you real visibility into whether your testing process supports rapid, quality releases. Companies using these focused metrics see quality improvements nearly double within months. You’ll spot bottlenecks fast and can adjust before small issues become release-blocking disasters. Find 11 more ideas in our separate article.
Track deployment frequency, change failure rate, and defect escape rate automatically.
Most QA teams juggle several tools at once: one main issue tracker plus a handful of specialized testing solutions. Selenium or Selenium-based solutions are almost always used for automated testing, and then there are test type-specific tools like JMeter or Ranorex. Staying on top of test reports across several tools gets pretty hard.
Our recommendation is to pick an issue tracker that can aggregate input from test automation tools and other QA software. Native integrations with popular tools are convenient but scarce. Most vendors, however, will give you the option to integrate any QA tool via REST API. Ask (and try) before you buy.
A QA timeline turns unclear once testing has no defined milestones of its own, separate from development. It can, however, be frustrating for stakeholders to see that QA is taking longer than expected — simply because it is the last hurdle before release. This is how you brew frustration from missing a deadline or deploying an unpolished build, contributing to test management problems.
Formalising the QA timeline would be a great start, but it is even better to visualise it. A lot of modern test management solutions offer sprint planning that you can align with the developer’s schedule. Simplified planning is another advantage to adopt an ALM.
Last-minute requirement changes are routine, and they force QA teams into fast trade-offs on test coverage. But you can handle these curveballs without your team losing their minds. Start by setting expectations upfront. Make it crystal clear that late changes mean trade-offs in test coverage.
When changes hit, rank your tests by risk and business impact first. Skip the nice-to-haves and focus on what could actually break user workflows. Then tell stakeholders exactly what you’re NOT testing before anything goes live. Create a simple ‘change impact’ template that forces requesters to identify what they’re willing to sacrifice. Most people requesting changes haven’t thought through the real cost. Once they see it laid out, they often realise their ‘urgent’ change can actually wait until the next sprint.
Pre-QA builds turn subpar when developers skip basic checks before handing code to testers. There are cases when they may send obviously flawed code just to move on. This results in extra work for testers, and you also now have to think how to manage QA team’s frustration.
Unit testing is a great solution that will save everyone’s time. Devs can make simple tests to catch obvious flaws early and receive fewer bug reports from the QA team. Testers won’t have to nudge devs for simple fixes and have more time to go over less obvious potential problems.
A bug report becomes unactionable once it’s missing the steps, context, or evidence needed to reproduce the issue. New team members will need time to soak it in. Non-technical stakeholders or even external people with occasional problems will probably not abide either. Incomplete bug reports make your team spend extra time reproducing and solving issues.
The best way to make actionable bug reports is to visualise them. One emerging trend is using solutions that can record test execution of a test case or simply take a video of what happens on a user’s screen when they have an issue. We recommend trying a solution called Capture to get a glimpse of how great this tech is.
Devs make code, testers find bugs, devs fix them, testers look for more bugs… This is the usual QA flow until testers can’t find any issues that the product team would be uncomfortable to fix at a later stage. The problem is that devs can be waiting for testers’ response for too long (and vice versa).
The solution is simple: establish workflows that specify exact QA steps and how long they should ideally take. This will work much better if your test management solution allows you to configure such workflows natively and for example auto-nudge colleagues that are taking too long. It’s often okay that they do, but it’s a shame when somebody simply forgets about a ticket assigned to them.
A test suite turns chaotic once naming, structure, and documentation vary from one tester to the next. It is hard for new team members to navigate tests that have inconsistent naming, while seemingly duplicate test steps are confusing if you want to reuse them somewhere else.
Getting a good naming convention would be a great start to tidy up your test suite. You can go on to define how test steps are created and what testers should write in the description of every test case. Test management solutions can help you here, but the key success factor here is good fundamentals from QA management.
Scope keeps growing because every new feature and fix adds more tests to an already large suite. One full run of automated tests can still take up to an hour, and one time won’t be enough. At some point, there are just too many tests to test too many things.
A modern answer is artificial intelligence. You can use AI-powered test management solutions to optimise your existing test suite or enlarge it faster than human testers ever could. You will find such features in tools from both long-time and emerging vendors.
Proven ALM solution with AI test generation and prioritisation
Increasing QA team efficiency involves implementing automation to streamline repetitive tasks, providing ongoing training to enhance skills, establishing standardised processes for consistency, and fostering collaboration and communication among team members to ensure clarity and alignment on project objectives. These approaches optimise testing efforts and contribute to higher-quality software delivery and improved overall team productivity.
Challenges for a QA manager include:
To manage a QA team, a QA lead should:
The main purpose of QA management is to ensure the delivery of high-quality software products that meet software requirements and customer expectations. This is achieved by planning, designing, and executing efficient and effective testing processes and procedures.
Watch for repeat bugs in areas marked as tested, growing friction between developers and testers, and releases slipping because QA starts too late. If your team can’t say how long a QA cycle takes, that’s a clear warning sign too.
A QA problem is something already happening, like unclear bug reports or a chaotic test suite. A QA risk hasn’t occurred yet but could, like a last-minute requirement change breaking test coverage before release.
