Quick answer: In a live-service game the bug queue never empties, so triage is a continuous process, not a one-time pass. Judge each report by player impact under live conditions: how many players hit it, whether it blocks progress or spends money, and whether it is spreading. Sort ruthlessly into fix-now, schedule, and watch, and revisit the queue on a fixed cadence.

A shipped single-player game has a bug list that shrinks. A live-service game has one that refills faster than you can drain it, because players are generating new reports every hour you are awake and many you are not. Triage in this world is not an event you do before launch; it is a standing habit that keeps the queue from becoming a wall of undifferentiated noise. The skill is deciding, quickly and repeatedly, which of the hundred things in front of you actually deserves attention today. This post lays out a triage flow built for that continuous pressure, with severity judged by what the bug is doing to live players right now.

Severity means player impact, not code ugliness

The instinct of many engineers is to rank bugs by how broken the code is. In live service that is the wrong axis. A horrifying-looking memory leak that takes nine hours to matter is less urgent than a one-line logic error that is silently eating player currency right now. Severity in live service is a function of player impact: how many players are affected, how badly, and whether the harm is reversible. A bug that loses progress or money for real players outranks a crash that only happens in a corner case nobody reaches.

Build a simple severity rubric your whole team shares so triage does not depend on who happens to look. A useful frame: does it block progress, does it touch money or fairness, how many players hit it, and is it spreading or stable. Anything that blocks paying players or corrupts state is top priority regardless of how small the code change is. Anything cosmetic that nobody has reported twice can wait. Having the rubric written down means two people triaging the same report reach the same answer, which is what keeps a continuous queue from becoming arbitrary.

Use volume as a live signal

The single most useful number in live triage is how many players hit a given bug. One report could be a fluke or a misconfigured device; two hundred reports of the same thing in an hour is an incident in progress. When duplicate reports are folded together with a count, that count becomes your prioritization engine: sort the queue by occurrence and the things actually hurting the most players float to the top automatically, without anyone having to read every report individually.

Watch the rate, not just the total. A bug with a high count that stopped growing yesterday is a known issue you can schedule; the same count accumulated in the last thirty minutes is something breaking right now, possibly tied to a change you just shipped. The slope tells you whether you are looking at a backlog item or a live fire. Combining a shared severity rubric with a live occurrence count gives you a queue that is both principled and responsive, which is exactly what continuous triage needs.

Sort into fix-now, schedule, and watch

Every report should leave triage in one of three buckets. Fix-now means it is hurting enough players badly enough that it justifies interrupting current work, possibly a hotfix. Schedule means it is real and worth fixing but can ride the next regular update. Watch means you are not sure it matters yet: low volume, unclear impact, or possibly user error, so you leave it open and let the occurrence count decide whether it graduates. The mistake is leaving everything in an undifferentiated open state, which forces you to re-evaluate the whole queue every time.

Be honest about the fix-now bucket. If everything is urgent, nothing is, and your team burns out chasing a queue that never feels handled. Reserve fix-now for genuine player harm and protect the schedule bucket from constant interruption, because the scheduled work is where most of your quality actually improves. The watch bucket is your pressure valve: it lets you acknowledge a report without committing to it, and the volume signal does the work of telling you later whether it was real. A queue sorted this way is one you can look at and immediately know what to do.

Triage on a cadence, not on panic

Because the queue never empties, you need a rhythm rather than heroics. Pick a cadence that matches your player volume: a quick pass every morning for a smaller game, several times a day for a busy one, plus a fast path for anything that trips your spike alerts. The cadence matters more than the duration. A reliable fifteen-minute triage every day keeps the queue honest far better than an exhausting three-hour cleanup once a fortnight that leaves everyone dreading it.

Give the cadence a clear owner so it does not silently lapse. In a small studio that might be a rotating role rather than a dedicated person, but someone must own each pass, otherwise the queue quietly rots until a single bug has two hundred duplicates and an angry forum thread. The point of a cadence is that nothing waits longer than one cycle before a human looks at it and makes a call, which caps how bad any surprise can get before you notice it.

Setting it up with Bugnet

Bugnet is built for exactly this continuous flow. The in-game report button captures player and platform context automatically, so each report arrives with the state you need to judge impact instead of a vague description you have to chase. Occurrence grouping folds duplicates into a single issue with a live count, which means your queue is already deduplicated and ranked by how many players are affected the moment you open it. You triage issues, not a flood of near-identical messages, and the count is right there telling you what is spreading.

Custom fields let you stamp your severity rubric directly onto each issue, so fix-now, schedule, and watch become filters you sort and save rather than tribal knowledge. Player attributes let you slice the queue to see whether a bug hits paying players or a specific platform, which sharpens the impact judgment. Because everything lives in one dashboard, the morning triage pass is a single ordered list: sort by occurrence, scan the top, assign the rubric, and the worst live problems are handled first by construction. That structure is what makes daily triage sustainable instead of overwhelming.

Keep the loop closed

Triage is only half the job; the other half is making sure fixed bugs actually leave the queue and players hear about it. When you ship a fix, resolve the issue so its occurrence count stops competing for attention, and watch whether new reports of the same thing stop arriving. If they keep coming, the fix did not land and the issue should jump straight back to fix-now. A closed loop, where reports lead to fixes and fixes verifiably stop the reports, is what keeps the queue trending down even though it never reaches zero.

Periodically step back from the individual reports and look at the shape of the queue itself. Which systems generate the most bugs? Which severity bucket is growing? If one feature produces a steady stream of fix-now issues, the real fix is upstream, in that feature's design, not in triaging its symptoms forever. Continuous triage done well does not just keep the queue manageable; it shows you where your game is structurally fragile, which is the most valuable thing a bug queue can tell you.

In live service the queue never empties, so triage is a rhythm, not an event. Rank by player impact and let occurrence counts do the sorting.