Quick answer: A test case is a structured description of a single test: the conditions, the steps to perform, and the expected result. It verifies one specific behavior in a repeatable way, when you do X, Y should happen, providing a consistent, documented check that a particular thing works as intended.
A test case is the basic unit of structured testing. Where exploratory testing improvises, a test case is deliberate and repeatable: a written recipe for checking one specific behavior, with a clear expected outcome. Test cases are how you verify, consistently and on demand, that the important things in your game work, and how you build up a repeatable suite of checks you can run again after every change to catch regressions.
What a Test Case Contains
A test case describes one specific test in enough detail to run it the same way every time. Typically it includes: any preconditions or setup (the starting state), the steps to perform (the precise actions), and the expected result (what should happen if the behavior is correct). Running the test case means performing the steps and comparing the actual result to the expected one, if they match, it passes; if not, it fails, indicating a bug.
The key qualities are specificity and repeatability. A good test case checks one thing clearly, with an unambiguous expected result, so that anyone can run it and get a consistent verdict. This is what distinguishes structured testing from ad-hoc poking: a test case is documented and repeatable, not improvised, so it produces the same reliable check every time it is run.
Why Test Cases Are Useful
Test cases provide consistency and coverage of known-important behaviors. By writing down exactly how to verify a behavior and what the correct result is, you ensure that behavior gets checked the same way every time, by anyone, removing the variability of ad-hoc testing. A suite of test cases covering your critical functionality is a repeatable way to confirm those things work, build after build.
Their biggest payoff is regression testing. Because test cases are repeatable, you can re-run them after every change to verify that existing behavior still works, catching regressions cheaply. A test case for a past painful bug, re-run on each build, ensures that bug does not silently come back. This is also why test cases are the natural candidates for automation: a clear steps-and-expected-result structure can often be turned into an automated test that runs on every build without manual effort.
Test Cases, Coverage, and Their Limits
Test cases are excellent for what they cover but limited to exactly that, they only check the specific behaviors someone wrote them for. They cannot find bugs in situations no one anticipated, which is why structured test cases are paired with exploratory testing (for the unexpected) for fuller coverage. The art is choosing which behaviors are important enough to warrant documented, repeatable test cases: your critical paths, core mechanics, and past significant bugs.
When a test case fails, that is a bug to capture and track. The failure is precise, the expected and actual results are documented, so the report is clear, but it still needs to flow into your tracking with context. Bugnet captures bugs and crashes with context and tracks them by version, so a failing test case becomes a tracked issue you can prioritize and, after fixing, verify, ideally by re-running the same test case and confirming the issue stopped occurring on the new version. Test cases for known-important behavior plus capture-and-tracking for the failures form the backbone of structured game QA.
A test case is a repeatable recipe: do these steps, expect this result. They're how you verify the important things still work after every change.