How to Set Up Automated Testing for a Game

Automated testing—tests that run without manual effort, catching regressions and verifying logic—is valuable for games, freeing your attention for the judgment-heavy testing only humans can do, but games are harder to test automatically than typical software, so the skill is focusing automation where it's tractable and valuable. Test the logic and critical paths automatically; leave the feel, fun, and experiential qualities to human testing, which automation can't replace.

Automate the tractable and valuable, not everything

Games are harder to test automatically than typical software, because much of what matters in a game—how it feels, whether it's fun, the experiential qualities—is subjective and not amenable to automated verification, and because games involve complex interacting systems, rendering, and real-time behavior that's harder to test than straightforward logic. This means the goal isn't to automate all testing, which is neither feasible nor valuable for games, but to focus automation where it's tractable and valuable—on the parts of the game that can be tested automatically and where automated testing provides real value. The tractable, valuable targets are typically the logic and critical paths: the game's underlying logic and systems that have definite correct behavior (the rules, the calculations, the state management, the systems with verifiable correctness), and the critical paths that must not break (the core functionality that, if broken, ruins the game). These can be tested automatically—verifying that the logic produces correct results, that the critical paths work—and automating their testing provides real value by catching regressions in them without manual effort. Focusing automation here, on the tractable and valuable (logic and critical paths with verifiable correctness), rather than attempting to automate the intractable (feel, fun, experiential qualities) or the low-value, is what makes automated testing worthwhile for games. The skill is recognizing what's tractable and valuable to automate—the logic and critical paths—and focusing automation there, rather than either neglecting automation entirely or futilely attempting to automate the subjective experiential qualities that only human testing can assess.

Automation frees human attention for what only humans can test, which is the complementary half of a good testing approach. The value of automating the tractable, valuable testing (logic and critical paths) is not just catching regressions in those areas without manual effort, but freeing your human testing attention for what only humans can assess—the feel, fun, experiential qualities, and judgment-heavy testing that automation can't replace. Human testing time is limited and valuable, and spending it on things that could be automated—repeatedly manually verifying logic and critical paths that automated tests could check—wastes it on what machines could do, leaving less for what only humans can do. By automating the tractable, valuable testing, you free your human attention for the judgment-heavy, experiential, subjective testing that automation can't handle: assessing whether the game feels good, whether it's fun, whether the experience works, the qualities that require human judgment and can't be automated. This makes automated and human testing complementary: automation handles the tractable, verifiable parts (logic, critical paths) efficiently and catches their regressions without manual effort, while human testing focuses on the judgment-heavy, experiential parts (feel, fun, experience) that automation can't assess, with the automation freeing human attention for this human-only work. A good testing approach for games, then, combines automated testing focused where it's tractable and valuable (logic and critical paths, catching regressions without manual effort) with human testing focused on what only humans can assess (feel, fun, experiential qualities, judgment-heavy testing), the automation handling the verifiable and freeing human attention for the subjective. Setting up automated testing for a game, accordingly, means identifying and automating the tractable, valuable targets—the logic and systems with verifiable correctness, the critical paths that must not break—to catch their regressions without manual effort and free your attention, while recognizing that the subjective experiential qualities require human testing that automation can't replace. This focused approach—automate the tractable and valuable, leave the experiential to human testing, use automation to free human attention for what only humans can do—is what makes automated testing worthwhile for games, providing the regression-catching and attention-freeing value of automation where it's tractable, while acknowledging the limits of automation for the experiential qualities and complementing it with the human testing those qualities require. Automated testing for games, done well, isn't about automating everything—it's about automating the logic and critical paths where automation is tractable and valuable, catching their regressions and freeing human attention for the feel, fun, and experiential testing that only humans can do.

Measure before you optimise

Intuition about what's slow, what's confusing, or what's driving players away is usually wrong, and acting on it wastes effort on problems that don't matter while the real ones persist. The developers who improve their games efficiently are the ones who measure first — profiling performance, watching real sessions, capturing actual errors — and let the data set their priorities.

It's slower than trusting your gut, but it's the only approach that reliably improves the game instead of just changing it. Find the biggest real problem, fix that, and measure again, rather than optimising guesses.

The first impression is most of the battle

More players leave in the opening minutes than at any other point, which makes the first few minutes the highest-leverage stretch of the whole game — and also the part the developer can least see clearly, having played it a thousand times. What feels obvious to you is often confusing to someone seeing it fresh, and that gap quietly costs you players before they ever reach the good part.

Get the player into the interesting part fast, let them feel competent quickly, and watch first-time players go through the opening without helping them. Nobody quits a game they're enjoying, so making the early minutes land is most of the battle for retention.

Small and finished beats big and abandoned

A folder of impressive unfinished projects teaches far less than a single small finished one, because finishing is where the hardest and most valuable lessons live — the unglamorous final stretch of bug-fixing, polishing, and shipping that ambitious abandoned projects never reach. Each completed game, however modest, builds the finishing muscle and the confidence that make the next one achievable.

So resist the pull of the dream project until you've shipped a few small ones. Scope to what you can actually complete, finish it, and let the experience of shipping make your bigger ambitions realistic.

Trust behaviour over opinions

People are unreliable narrators of their own experience — they're polite, they rationalise, they suggest fixes that miss the real problem. What they do tells the truth that what they say obscures: where they hesitate, where they get stuck, what they ignore, where they quit. The most valuable feedback is usually the behaviour you observe, not the opinion you're offered.

This is why watching beats asking, and why real data about what players actually do beats any amount of speculation. When several people stumble at the same spot, that's a problem worth fixing, regardless of whether any of them mentioned it.

Why finishing beats perfecting

The hardest skill in indie development isn't any particular technique — it's finishing. Most games that never ship didn't fail on talent; they failed on scope, polished forever, or chased one more feature. The developers who build a real body of work are almost always the ones who got good at choosing something small enough to complete and then completing it.

That's worth keeping in mind here, because it's easy to let any one part of development expand to fill all your time. Decide what 'good enough to ship' looks like, protect that line, and treat the endless list of possible improvements as a backlog rather than a set of obligations.

Automate the tractable and valuable—logic and critical paths with verifiable correctness—to catch regressions and free your attention. Games are harder to test automatically than typical software, so leave feel, fun, and experiential qualities to human testing, which automation can't replace.