Quick answer: MTTR, mean time to resolution (or repair/recovery), is the average duration from when a problem is detected or reported to when it is resolved. It measures the speed of your response to issues, lower MTTR means faster fixes, and it is a key operational metric for how effectively a team handles bugs, crashes, and incidents.
How fast do you fix problems? Mean time to resolution puts a number on it. MTTR is the average time from a problem being detected to it being resolved, a measure of your responsiveness. Borrowed from IT and operations, it is increasingly relevant to games, especially live ones, where how quickly you resolve crashes, bugs, and incidents directly affects players. Understanding MTTR, and what drives it, helps you see and improve how effectively you handle the problems that inevitably arise.
What MTTR Measures
MTTR is the average time it takes to resolve issues, measured from detection (or report) to resolution (the fix). If you resolve a set of issues and average how long each took from being detected to being fixed, that average is your MTTR. It captures the speed of your whole response process, not just the fixing itself but the time to notice, diagnose, fix, and deploy. A lower MTTR means problems get resolved faster.
The acronym is sometimes expanded as mean time to repair or recovery; the common thread is the time to get from 'something is wrong' to 'it is resolved.' It is often paired with mean time to detect (how long until you notice a problem) and other 'mean time to X' metrics that break the response timeline into stages. MTTR focuses on the full span to resolution.
Why MTTR Matters
MTTR matters because the duration a problem persists is the duration it harms players. A crash that takes a day to resolve affects far fewer players than the same crash taking a week, the resolution speed directly scales the damage. For live games especially, where problems hit players in real time, a low MTTR means issues are contained quickly and a high one means they fester. MTTR is, in effect, a measure of how much harm your problems do, mediated by how fast you stop them.
Tracking MTTR also reveals the health of your response process. A rising MTTR suggests something is slowing you down, harder-to-diagnose issues, a bottleneck in your workflow, too many issues to keep up with. A low, stable MTTR indicates an effective process. As a metric, it turns the abstract goal of 'be responsive to problems' into something measurable you can watch and improve.
Driving MTTR Down
MTTR is the sum of the stages from detection to resolution, so you lower it by speeding up each: detect faster, diagnose faster, fix faster, deploy faster. Detection and diagnosis are often the biggest opportunities, a problem you notice immediately and that arrives with the evidence to diagnose it can be fixed far faster than one you learn about late from vague reports and then have to investigate from scratch.
This is where good crash and bug reporting directly reduces MTTR. Bugnet shortens the early stages: real-time occurrence tracking means you detect a spiking problem fast (low time-to-detect), and automatic capture of stack traces, device context, and logs means each issue arrives already diagnosable (low time-to-diagnose), so you spend your time fixing rather than gathering evidence. Grouping and prioritization ensure you work the highest-impact issues first, and version tracking confirms resolution. By compressing the detect-and-diagnose stages that often dominate MTTR, good reporting lets you resolve issues faster, which, since persistence equals harm, directly reduces the damage your bugs and crashes do.
MTTR is how fast you go from 'something's wrong' to 'it's fixed.' Since a problem harms players the whole time it persists, faster resolution means less damage.