# Best practices for designing Linear Dashboards

DevFeed: [Best practices for designing Linear Dashboards](<https://devfeed.tech/articles/best-practices-for-designing-linear-dashboards-83541.md>)

Original publisher: [Read original article](<https://linear.app/now/dashboards-best-practices>)

Published: 2025-10-07T13:09:00Z

Content type: article

Language: en

Sources: [Linear](<https://devfeed.tech/sources/linear.md>)

Topics: [dashboards](<https://devfeed.tech/topics/dashboards.md>), [Product Management](<https://devfeed.tech/topics/product-management.md>)

Tags: [build](<https://devfeed.tech/tags/build.md>), [dashboards](<https://devfeed.tech/tags/dashboards.md>), [designing](<https://devfeed.tech/tags/designing.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [monitoring](<https://devfeed.tech/tags/monitoring.md>), [strategy](<https://devfeed.tech/tags/strategy.md>), [team](<https://devfeed.tech/tags/team.md>), [workflows](<https://devfeed.tech/tags/workflows.md>)

## AI overview

Linear shares dashboard design practices for software teams, including keeping dashboards focused, tailoring them to their audience and purpose, and adding context to metrics. Its observations suggest that dashboards can become stale when their number grows faster than usage.

## Source excerpt

Dashboards let you combine data from different Linear sources into a single view, whether that's monitoring operational health, keeping tabs on team workflows, or reporting on how resources are being spent across initiatives. Teams have created thousands of dashboards since we launched them in July, with especially strong uptake among enterprise customers: more than half of enterprise workspaces now use at least one. Dashboards are modular and customizable, with insights shown as charts, tables, or single-number metrics, and they are flexible enough to support both short-term operational needs and longer-term strategic planning. Three months after launch, we've found that one-third of viewers check dashboards weekly, while two-thirds return monthly. In that time, we've also noticed clear patterns in what makes some dashboards more useful than others. Here are some of the practices that stand out, illustrated with real dashboards from our own use. Practice 1: Fewer dashboards is generally better We've observed that the median workspace creates just two dashboards, and adoption drops off quickly beyond that. When every team spins up dozens, most go stale and stop being trusted. The solution is to make each dashboard intentional, with a clear purpose and an owner. Build regular review cycles into your process so dashboards stay accurate and relevant. This chart looks at workspaces bucketed by size, showing the average number of dashboards created versus those actively used. As companies get larger, the number of dashboards grows fast, but usage doesn't keep pace and many dashboards go stale. Be realistic about how often a dashboard will actually be used, and keep the set as tight as possible. Practice 2: Match the design to the dashboard's purpose Dashboards built without a specific purpose tend to collect random charts and quickly lose their value. The best dashboards are built for a clear use case with a design that reflects that purpose. Strategy dashboards work bes