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Understanding Metrics Dashboards in LinearB

Gain real-time insights into engineering performance with LinearB’s Metrics Dashboards, tracking delivery speed, code quality, project throughput, and resource allocation.

Steven Silverstone
Updated by Steven Silverstone

The Metrics Dashboards in LinearB provide real-time visibility into engineering performance, code quality, and development velocity. LinearB offers pre-built dashboards for areas such as Delivery, Quality, Throughput, and Investment Profile, and also allows you to build custom dashboards tailored to your needs.


Customizing date ranges

Use the date picker at the top of the dashboard to define the reporting timeframe.

  • Essentials plans – Up to 6 months of historical data.
  • Enterprise plans – Up to 3 years of historical data.

Filtering metrics data

Metrics dashboards support multiple filtering dimensions to help you focus on the most relevant data.

Filter by

  • People – View metrics by individual contributors or members.
  • Repository – Scope metrics to one or more Git repositories.

Depending on the selected filter type, you can further refine results using:

  • Teams – Select one or more teams (or All Teams).
  • Members – Filter by specific contributors.
  • PR labels – Narrow results to pull requests matching selected labels.

Investigating trends and spikes

Click any data point or inflection point in a chart to drill into the repositories or contributors driving that change.

This helps identify sudden shifts in throughput, review activity, or AI usage.


Sharing and exporting dashboards

Use the Share button in the top-right corner of the dashboard to:

  • Copy dashboard link – Share the current dashboard configuration.
  • Export as CSV – Download raw metrics data.
  • Export as PNG – Generate a visual snapshot of the dashboard.

Exported data reflects the currently selected date range and filters.


Available metrics dashboards

Delivery dashboard

Analyzes Cycle Time across key stages:

  • Coding Time – First commit to PR creation.
  • Pickup Time – PR creation to first review.
  • Review Time – First review to merge.
  • Deploy Time – Merge to deployment.

Learn more about Cycle Time


Quality dashboard

Focuses on code review effectiveness and quality signals:

  • PRs merged without review
  • PR size
  • Review depth
  • New code, refactor, and rework ratios

PR maturity metric


Throughput dashboard

Measures engineering output and activity over time:

  • Code changes
  • Commits
  • PRs opened vs. merged
  • Deploy frequency

Understanding throughput metrics


Why use metrics dashboards?

  • Track delivery and quality trends over time.
  • Identify bottlenecks in review and deployment workflows.
  • Align engineering execution with business goals.

DORA Metrics Dashboard

Building a metrics dashboard

Using PR label filters in metrics reports

How did we do?

Time Distribution Dashboard in LinearB

Using PR Label Filters in Metrics Reports

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