Game regression testing: automation and manual checks

Regression testing for games: what a project loses after an update

The update shipped on schedule, the first-hour metrics looked steady — but a week later retention dropped, and support is drowning in the same complaints. Players don't write "your old store broke" — they quietly leave and post a review.

Every such departure costs more than the entire testing cycle, because paid acquisition burns for nothing.

The cause is almost always the same: a new mechanic drags along what had worked for years and was never tested. Saves, progress, purchases, balance, in-game economy — failures after an update surface not in the new feature, but in the old one.

Finding them through players means losing the audience's trust and cleaning up the aftermath in firefighting mode, instead of calmly developing the project.

Regression testing for games closes exactly this gap: we verify in advance that a new update does not break what already works. Pre-release checks follow real-player scenarios — from first login to repeat purchases and returning to the game.

Automation takes on repeatable paths, manual checks take on complex chains and new mechanics where human evaluation matters. This makes update quality manageable: you know exactly what has been tested and what can be released.

We take on all release preparation: we build a risk map, run critical scenarios on every update, and deliver a report with the failures found before players see them.

The business result is preserved retention, calmer support, and predictable release timelines instead of emergency fixes.

What a studio gets from well-established pre-release checks

Pre-release checks are not a checkbox in a plan, but insurance against the most expensive mistake: an update goes out to players, and they run into old bugs again.

Below is what a studio gets when regression testing for games works as a regular process, not as a crunch the day before release.

• Smooth updates. New content and seasonal events do not break what already works: purchases go through, progress is saved, balance does not "drift".
• Preserved audience. A player leaves after a single broken release and rarely returns. Stable builds keep player numbers at the same level.
• Predictable timelines. Bugs are found before release, not after: the team does not redo finished work and meets the announced dates.
• Studio reputation. Reviews on Steam and on platforms take shape in the first hours after an update, and a damaged release costs more than any speed-up.
• A calm team. Developers work on new content instead of re-investigating complaints again — this also speeds up the next release.

We cover these tasks with a combination of automated runs and manual checks on live builds, so every release follows the same clear procedure.

Testing formats: from one-time acceptance to ongoing support

The testing format is chosen not by team size, but by how often the game receives updates and what you risk at release. One-time update acceptance covers one specific release, while ongoing support covers the entire update cycle. Below is how this looks in practice and what the client gets in each case.

How to choose a format

The formats do not compete; they complement each other: manual checks catch what a player feels, while automated checks handle what must be run regularly without losing speed.

We look at your update schedule and the volume of new content, then propose a combination that covers risks without unnecessary work.

If updates are rare, one-time acceptance is enough. If the game lives and changes constantly, ongoing support is more cost-effective — it costs less than a series of crunches before every release and takes the load off your team. You can start with one format and expand it when the need arises.

How update testing works: from brief to release

An update in a game is always a risk: a new mechanic can break an old one, and an error in payments or matchmaking costs more than the release itself.

So that you do not have to guess, we guide the project along a clear route: testing stages, scope, and results are visible at every step.

1. Brief. We discuss what changes in the update: new mechanics, season, balance adjustments. You name what is critical for players — we build the work around that.
2. Test plan. We record which mechanics and screens the build affects, what we test manually, and what we cover with automation. The plan remains with you as a transparent document.
3. Scope approval. We show the list of checks, timelines, and team composition. The scope can be expanded or reduced before the start — with no surprises mid-project.
4. Preparation. We set up the test environment, accounts, and devices, and reproduce real-player conditions — including low-end devices and unstable connections.
5. Execution. Regression testing for games takes place: automation handles repeatable scenarios, engineers manually check what requires a human eye. Findings go into a shared prioritized list.
6. Update launch. We support the build release, monitor player behavior, and keep a rollback plan ready.
7. Post-release support. We stay in touch during the first days, close loose ends, and deliver a report: what we found, what was fixed, and what to reinforce for the next season.

This route removes the main fear — that the release will go out "blind." You always know what stage the project is at and what you will get at the end.

What will be included in the deliverables based on the project results

At the end of the project, you receive not a set of technical logs, but a working document kit that your team can use to continue independently.

Everything is organized in the language of priorities: what must be closed before release, what can be postponed, and what already works stably.

• Testing procedure — a clear description of which scenarios are run and how often, so that after every game update nothing breaks "in live combat."
• Testing report — a summary of all runs: what passed, what failed, how long each wave took, and where the bottlenecks are.
• List of found issues — a list of defects with labels: critical for players, affecting revenue, or only affecting internal team convenience.
• Fix priorities — the order in which it is more beneficial to fix: first what ruins the launch and prevents players from playing, then the rest.
• Fix recommendations — for each significant issue, a short explanation of the cause and what should be corrected so it does not return.
• Configured checks for your game — scenarios and automated tests prepared for your mechanics and left with your team.
• Knowledge transfer — a walkthrough of the kit with your specialists: we show how to read the report, add new checks, and conduct regression testing for games on your own.

The kit stays with you — we do not lock your team into us. If it is more convenient for our team to continue running the checks, we will continue on clear terms and according to the already agreed procedure.

Let's check ~1350 characters. OK. Let's make sure there are no prohibitions: no money, no years, no anglicisms ("defects" is fine). Good.

Case study: an update without rollbacks or retention drop

A studio, Dikaya Versta, came to us before a major update: a new combat mechanic, a reworked interface, and balance changes were all releasing at the same time.

The previous release was expensive — players lost progress, sessions were interrupted, and support was drowning in complaints. The task was a business one: release the update without losing retention.

The key was the regression test suite: before release, we ran it on every build — both automatically and manually, using real player scenarios. Breaks in old mechanics were found before users saw them, not after.

A separate effect was speed. The team stopped fearing frequent updates: checks proceed predictably, not all night before release. We have dozens of game projects behind us, so the test suite is assembled for the game's genre and economy, not from a template.

After the release, the studio returned to us with the next update — and that is the best indicator that the approach works.

How to choose between manual and automated testing?

The choice between manual and automated testing depends not on studio size, but on how often the game changes and how many platforms you support.

If updates are rare and there are few gameplay scenarios, manual testing is cheaper and more accurate: a human notices broken animation, off sound, or strange character behavior where automation sees only a match with expectations.

Automation is needed where the same scenarios have to be run again and again: after balance changes, content additions, or releases for several platforms.

Then the automated test suite takes over the repetitive part of the work, while testers focus on what requires judgment and taste — game feel, readability of hints, level logic.

We determine the regression scope not "by the whole list," but by risk areas. In-game purchases, saves, player progress, online play, and core combat mechanics are checked with every update — the only question is whether manually or automatically.

The more often a scenario repeats and the more expensive a missed bug in it is, the sooner it goes into automation.

The selection criterion is simple: if a check has to be repeated from update to update and the result is predictable every time, it should be automated. If a scenario is new, rare, or requires a human eye, we leave it as a manual check.

In practice, a combination almost always wins: automation maintains a stable baseline and frees up people, while manual checks cover what is new, debatable, and critical for the player.

We review your project by these criteria and propose a testing format for your update rhythm — without unnecessary work where it does not produce results.

Common doubts before ordering testing

Doubts before ordering testing are a normal part of the decision, and almost all of them come down to one question: will things get worse. We answer them before work starts so that you can decide without risk.

We connect quickly: we do not wait for a team to become available or for another work stage to end. We join an already running project, get up to speed with your builds and processes, and within a few days show the first findings.

We work in your tools and on your side — you will not have to change your usual development order, and access is granted with minimal scope and under your control.

• Guarantees and responsibility. We fix the testing scope and timelines in writing, and confirm every defect with reproduction steps — there are no disputed "I think it broke" cases.
• Transparency. You see a report for every run and understand what was tested and what remained out of scope.
• Knowledge transfer. After the project, checklists and test suites remain that your team can use.

Let's discuss the task and come back with a test plan

Tell us how testing for your game is currently organized: what breaks after updates, how much time the team spends on repeat runs, which platforms and versions need to be kept in shape.

We review the situation based on your materials and come back with an estimate and a plan — without generalities.

We do not offer template solutions: the testing scope depends on the genre, platforms, and how often you release updates. So we listen first, then calculate.

To order game testing, you just need to describe the task. After contacting us, you receive:

• A breakdown of the situation: where regression takes up time and which checks are duplicated manually.
• A scope plan: what we cover with automation, what we leave to manual testing, and why.
• Team composition for your task: who is responsible for which area and who is in contact with you.
• Project start order: where we begin, what we need from you, and when you will see the first result.
• Transparent timelines and points where progress is visible, not a report once a month.
• Support throughout the cycle: post-launch fixes, new versions, seasonal updates.
• One contact for questions — no back-and-forth through five people.

Let's discuss the task in the format convenient for you: a call, an email, or chat. We will clarify the details, assemble a plan, and state the start date. Then we work in stages, and you always see what has already been done and what comes next.