# "The dashboard looks broken!": How should data teams respond to incidents?

DevFeed: ["The dashboard looks broken!": How should data teams respond to incidents?](<https://devfeed.tech/articles/the-dashboard-looks-broken-how-should-data-teams-respond-to-incidents-11829.md>)

Original publisher: [Read original article](<https://incident.io/blog/incident-management-for-data-teams>)

Author: Jack Colsey

Published: 2023-11-21T14:54:00Z

Content type: opinion

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>), [data observability](<https://devfeed.tech/topics/data-observability.md>), [Software Engineering](<https://devfeed.tech/topics/software-engineering.md>), [observability](<https://devfeed.tech/topics/observability.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>), [Slack](<https://devfeed.tech/topics/slack.md>)

Tags: [dashboards](<https://devfeed.tech/tags/dashboards.md>), [data](<https://devfeed.tech/tags/data.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>), [observability](<https://devfeed.tech/tags/observability.md>), [outage](<https://devfeed.tech/tags/outage.md>), [post-mortem](<https://devfeed.tech/tags/post-mortem.md>), [slack](<https://devfeed.tech/tags/slack.md>), [slack-incident](<https://devfeed.tech/tags/slack-incident.md>), [software-engineering](<https://devfeed.tech/tags/software-engineering.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

This article argues that incident management platforms are a good fit for data teams because data pipeline failures are inevitable and require coordinated fixes. It describes how automated testing and observability can identify failing tests, route issues to owners, detect anomalies, and notify tools such as Slack, while incident management supports the subsequent communication and collaboration needed to resolve data incidents.

## Source excerpt

For data teams, the thought of using an incident management tool feels like an odd fit. But if you look deeper, it just makes sense.