Service
Manual Testing Services That Find What Scripts Miss
We spent a decade moving testing out of people's hands and into code, for our clients and for ourselves. What stayed manual is the work where a person's judgment is the test.
Your automated suite tells you the product still does what somebody once wrote a test for. It can't tell you whether a new customer can get through sign-up on a phone, or whether last sprint's redesign buried the screen people use every day.
Those failures don't show up as red builds. They show up as support tickets and as accounts that quietly stop logging in.
Our manual testing services put a QA lead and testers on your product, and they stay for years.
Why AI Still Needs a Human in the Loop
An AI-written test checks what it was told to expect. These are the kinds of defects that pass anyway.
| AI-Written Tests Report | A Tester Finds |
|---|---|
| Every payment test passes. | The payment times out on a slow connection and retries. The customer is charged twice. |
| Permission tests pass for every role. | A user with no account assigned skips the permission check and can open records they shouldn’t see. |
| The new feature passes its tests. | Only the main path was tested. When a request fails, the error is swallowed, and the customer gets no message. |
| The change passes its own tests. | The change is correct where it was made. It breaks an integration that relied on the old behavior. |
In each example, the tests are right to pass, since none of them covers that case. Writing more tests doesn't close that gap, because a test can only check what it was told to expect. It takes a human in the loop on every release: a tester who knows the product and tries what the suite never does.
A script checks the product against its specification. A person checks it against what the user was trying to do.
Manual Testing for AI-Generated Code
Your developers ship more code than they used to, because Cursor, Claude Code, or GitHub Copilot writes much of it. That AI-generated code arrives with tests attached. When the same model writes the code and its tests, the tests inherit its blind spots.
The code does what the prompt asked. Whether that’s what you meant is a question the suite was never built to answer.
Meanwhile, the number of people reviewing all that change hasn’t grown. So more of it reaches your customers with nothing but its own author to check it.
Automated tests in your pipeline should check most of that change. Manual testing is still required for what a test can't judge, starting with changes that touch payments, permissions, and personal data. That part doesn't take a room full of people repeating scripts. It takes a few engineers who didn't write the prompt and who know your product, looking at each release the way a customer will.
What We Test Manually
Manual software testing services cover a lot of ground. This is where we put people, and what each kind of testing tends to catch.
- Exploratory Testing: An engineer who knows the product goes looking for what nobody wrote a test for. The defects it finds start with someone asking, "What happens if I do this instead?"
- New Features and Redesigns: AI can draft the test cases for a new feature. A tester still makes the first pass, to judge whether it does what you meant and whether a redesign still makes sense to the people who use it.
- Usability and Real User Journeys: The route people take through the product, on the devices they own, with the interruptions they have. We test against what the user is trying to get done.
- Compatibility and Localization: Browsers, operating systems, languages, and more than 500 device and platform configurations we keep in-house.
- Integration and Configuration: The places where your product meets someone else’s system, and the settings your customers change that your own team never touches.
- Manual Security Testing: A security specialist joins for a release or a phase. High-priority findings go to your developers right away.
The Same Testers, Year After Year
Manual QA testing services are only as good as the testers’ knowledge of your product, and that knowledge takes years to build. More than 100 of our people are past their 10th year with us, and your team doesn’t rotate.
“They were able to work quickly to understand the product and produce tests.”
QASource has served more than 200 clients since 2002, and retention is 94%. Reviews that clients published under their own names average 4.8 out of 5 on Clutch. Once a conversation is underway, we’ll introduce you to clients who have been with us for more than a decade. What clients said →
AI-Assisted Manual Testing: AI Prepares, a Person Judges
Manual testing with AI, as we do it, doesn’t replace the tester with a model. It means the preparation takes less time, so the tester’s hours go to judgment.
The QASource Intelligent Platform (QASIP), our internal AI test engineering platform, does the preparing. QASIP is internal and not for sale. It comes with the team.
| What QASIP Does | What Our Engineer Does |
|---|---|
| Drafts test cases for what changed in each release, from your requirements, code diffs, and defect history. | Verifies every generated case for correctness and intent before anyone runs it. |
| Weights those cases toward the flows that have broken before and the ones your users take most. | Runs them manually, then goes past them to what nobody wrote down. |
| Builds a first set of cases from the application itself when you have no documentation. | Learns your product well enough to know which of those cases matter. |
A generated case can look complete and still only confirm what its author assumed, so none is used before an engineer has verified it. We don’t use client data to train or prompt external models.
The limit of AI in manual testing is the judging. A model can compare a result with an expectation. It can’t tell you whether the product made sense to the person using it. How the generation works →
Where This Sits
We aren’t only a manual testing services company. Most clients buy a dedicated QA team, and the manual and exploratory testers are one part of it, next to the automation engineers. If that’s closer to what you need, start there instead.
Tell Us What Got Past Your Suite
Tell us about the last defect a customer found before you did, how often you release, and what’s tested manually today. An engineering director replies within one business day. A proposal follows within two business days of our first conversation, with scope, approach, team, and price.
What Buyers Ask Us
How fast can the team start?
Typically within a week of signing. Knowledge transfer and access happen in that first week. Before that, you have a proposal within two business days of our first conversation.