How do I handle hundreds of bug reports after launch?

Collapse duplicates first, hundreds of reports are usually a few dozen distinct bugs, then rank the distinct issues by impact and work the top of the list. Automatic occurrence grouping turns the firehose into a short list sorted by how many players each issue affects.

How do I prioritize bugs during a launch flood?

Rank by impact, roughly the number of players affected times severity, not by arrival order. A startup crash hitting everyone jumps the queue over a cosmetic glitch reported by hundreds. The newest report is rarely the most important one, so resist working in recency order.

Should I respond to every bug report at launch?

Acknowledge them automatically, but focus your real effort on the top-ranked issues. Trying to address every report during a flood means addressing none well. Fixing the top few usually drops the overall report volume, which clears the noise around the smaller issues on its own.

How to Triage a Flood of Bug Reports After Launch

Quick answer: Group duplicates first so volume collapses into distinct issues, then rank by how many players are affected times how badly, and ignore the rest until the top is handled. Triaging a flood is about reducing it to a short, ranked list, not reading every report.

The first days after launch can bury you in bug reports. Hundreds of submissions arrive faster than you can read them, and the temptation is to start at the top and work down, which guarantees you spend your limited time on whatever happened to come in most recently rather than what is actually hurting the most players. A real triage system collapses the flood into a short ranked list you can actually act on.

Step One: Collapse Duplicates

A flood is mostly repetition. Five hundred reports might be fifteen actual bugs, with the worst one reported two hundred times. Before you do anything else, group reports of the same issue together. This single step turns an unreadable firehose into a manageable list of distinct problems, and the size of each group instantly tells you what is hitting the most players.

Automatic grouping is what makes this survivable at launch volume. Bugnet's occurrence grouping rolls matching crashes and reports into single issues with a running count, so your dashboard shows fifteen issues sorted by occurrences instead of five hundred undifferentiated tickets.

Step Two: Rank by Impact, Not Recency

Once you have distinct issues with occurrence counts, rank them by impact: roughly how many players are affected times how badly it hurts them. A crash on startup affecting everyone beats a cosmetic glitch reported by hundreds, which beats a rare edge case reported by two. Resist working in arrival order, the newest report is not the most important one.

Severity and reach together give you the order. A game-breaking bug hitting 5% of players and a minor annoyance hitting 80% might both deserve attention, but the startup crash that hits 100% jumps the queue regardless of how recently it was reported.

Step Three: Work the Top, Ignore the Tail

With a ranked list, discipline is everything: fix the top items and consciously ignore the long tail until they are done. During a launch flood, trying to address everything means addressing nothing well. The top three issues usually account for the majority of player pain, ship fixes for those and the report volume itself drops, which clears the noise around the smaller issues.

Use saved views or filters to keep the ranked list in front of you and the tail out of sight. Bugnet's saved views let you pin a 'top issues by occurrence' view so that during the chaos you are always looking at the short list that matters, not the full firehose.

A launch flood is fifteen bugs wearing five hundred costumes. Group first, then you can see them.