# Going beyond MTTx and measuring "good" incident management

DevFeed: [Going beyond MTTx and measuring "good" incident management](<https://devfeed.tech/articles/going-beyond-mttx-and-measuring-good-incident-management-11788.md>)

Original publisher: [Read original article](<https://incident.io/blog/going-beyond-mttx>)

Author: Chris Evans

Published: 2025-03-25T22:41:00Z

Content type: article

Language: en

Sources: [The incident.io Blog](<https://devfeed.tech/sources/the-incident-io-blog.md>)

Topics: [incident management](<https://devfeed.tech/topics/incident-management.md>), [Incident response](<https://devfeed.tech/topics/incident-response.md>), [incident](<https://devfeed.tech/topics/incident.md>), [Benchmark](<https://devfeed.tech/topics/benchmark.md>), [data](<https://devfeed.tech/topics/data.md>)

Tags: [benchmark](<https://devfeed.tech/tags/benchmark.md>), [benchmarks](<https://devfeed.tech/tags/benchmarks.md>), [incident](<https://devfeed.tech/tags/incident.md>), [incident-channel](<https://devfeed.tech/tags/incident-channel.md>), [incident-management](<https://devfeed.tech/tags/incident-management.md>), [incident-response](<https://devfeed.tech/tags/incident-response.md>), [management](<https://devfeed.tech/tags/management.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [on-call](<https://devfeed.tech/tags/on-call.md>), [outage](<https://devfeed.tech/tags/outage.md>), [post-mortem](<https://devfeed.tech/tags/post-mortem.md>), [slack-incident](<https://devfeed.tech/tags/slack-incident.md>)

## AI overview

The article argues that common MTTx metrics such as MTTR and MTTA are insufficient measures of incident management quality. Drawing on anonymized data from more than 100,000 incidents, it presents quality-focused benchmarks intended to show how well incidents are managed throughout the incident response lifecycle, including time to mobilize and time to assign a lead.

## Source excerpt

What does "good" incident management look like? MTTx metrics track speed, but speed alone doesn't mean success. So, we decided to analyze 100,000+ incident from companies of all sizes to identify a set of new benchmarks for every stage of the incident lifecycle.