Build a testing process that fits how you actually work – risk-based, sprint-integrated, and producing coverage metrics that mean something.
A QA strategy is not a list of test cases. It is not a test plan for a specific release. It is not a document that describes what a tester does each day. Those are outputs of a strategy – they are not the strategy itself.
A QA strategy is the set of decisions that govern how your team approaches quality: what you test, in what order, with which tools, in which environments, against which criteria, and with what level of confidence. It answers the question "how do we know when our software is good enough to ship" – and it answers it before each release, not after.
Most teams operate without a documented QA strategy and rely on the accumulated judgment of their QA engineer. That works until the QA engineer leaves, the team grows, or the codebase becomes complex enough that accumulated judgment is no longer sufficient. A written strategy transfers that judgment into something the whole team can use.
The testing pyramid is a model for distributing test coverage across three layers. At the base: unit tests – fast, isolated, hundreds or thousands of them. In the middle: integration and API tests – moderate speed, covering service boundaries and data flows. At the top: end-to-end UI tests – slow, cross-stack, covering the most critical user flows only.
Most teams we work with have the pyramid inverted. They have many slow UI tests, few API tests, and almost no unit tests. The result is a test suite that takes 90 minutes to run, fails intermittently, and provides less confidence than it appears to.
Fixing the inversion is one of the highest-value changes you can make to your QA process. It means:
A QA strategy that is never written down is not a strategy. It is a set of habits. Habits are personal. A written strategy is something the whole team can align to, debate, and improve together.
QA that happens after development is done is too late to be effective. By the time a feature is "complete" and handed off for testing, the developer has mentally moved on, the story has been closed, and the cost of changing anything has doubled. The fix is not to test faster at the end – it is to move QA earlier in the cycle.
Definition of Done: QA sign-off belongs in the Definition of Done alongside code review and deployment to staging. A story is not done until a QA engineer has tested it. Writing this into the DoD enforces the expectation across the team.
Test planning in sprint planning: Before a sprint starts, the QA engineer reviews each story and writes test cases. This catches ambiguous requirements while there is still time to clarify them, not after implementation.
Defect triage in retrospective: Escaped defects – bugs that shipped to production – belong in the retrospective. Not to assign blame, but to understand why the test coverage missed them and what to change next sprint.
No QA team has infinite time. The question is not "should we test everything" – the answer is no. The question is "given limited time, which things are most important to test." Risk-based testing is a structured way to answer that question.
We assess risk on two dimensions: probability of failure (how likely is this to break?) and impact of failure (what happens when it breaks?). High-probability, high-impact areas get the most coverage. Low-probability, low-impact areas get minimal coverage or none at all.
In practice, this means: authentication, payments, data privacy, and critical user workflows get deep coverage. Administrative features used by two internal employees get smoke testing. The allocation is explicit and documented, not left to intuition.
We can help you design a process that fits your sprint rhythm and actually gets followed. It starts with a conversation about where quality is currently breaking down.
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