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Dashboards & Reporting

Learn how LinearB dashboards present engineering metrics and how to interpret trends across teams.

Steven Silverstone
16 articles by 1 author

Building Custom Metrics Reports in LinearB

Utilizing custom investment reports, you can build reporting dashboards on your Jira issue activity based on multiple criteria.

Building a Metrics Dashboard in LinearB

Create custom LinearB metrics dashboards to track team performance, monitor key engineering KPIs, and visualize development workflows with flexible filters, widgets, and reporting options.

Changing your metrics from average to median or percentile

In some places, primarily in your metrics reports, LinearB will calculate your metrics based on either the average, median, or percentile of the data collected. LinearB's research indicates that grap…

DORA Metrics Dashboard in LinearB

Monitor your software delivery performance with LinearB’s DORA Metrics Dashboard, tracking Cycle Time, Deployment Frequency, MTTR, and Change Failure Rate to optimize DevOps efficiency.

Dashboards & Reporting

LinearB Metrics Dashboards provide real-time visibility into engineering performance, code quality, and development velocity. The platform includes several pre-built dashboards covering key engineeri…

Investment Strategy Dashboard in LinearB

Track how engineering resources are allocated with LinearB’s Investment Strategy Dashboard, ensuring alignment between development efforts and business priorities.

Metrics Inspection in LinearB

Use LinearB’s Metrics Inspection feature to investigate trends, analyze anomalies, and gain deeper insights into your engineering performance—all within the metrics dashboard.

Repository-Level Metrics

Track and compare individual repo performance using LinearB’s repository-level metrics—ideal for highlighting code quality trends, managing service health, and customizing dashboards per repo.

Selecting Multiple Teams in a Metrics Report

Compare multiple teams' performance in LinearB metrics reports by selecting up to six teams, customizing data views, and creating dashboards for streamlined cross-team analysis.

Service Metrics

In LinearB, you can combine multiple branches and/or repositories into a single service. This is especially useful if you work in a monorepo, or if a project spans multiple repos. A service can inclu…

Sharing LinearB Metrics and Projects

Easily share LinearB metrics, dashboards, and project data through links, CSV exports, PNG files, or API integrations for seamless team collaboration.

Time Distribution Dashboard in LinearB

Analyze workflow efficiency with LinearB’s Time Distribution Dashboard, tracking how long tickets stay in progress to optimize sprint planning and reduce bottlenecks.

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.

Using PR Label Filters in Metrics Reports

Analyze PR performance in LinearB using PR Label Filters, enabling teams to compare workflows, automate labeling with gitStream, and optimize code review processes.

Viewing All Teams and All Contributors

LinearB draws a distinction between Team Members and Contributors: Team Members have been added to a LinearB team. Contributors are any person who's ever committed code to your tracked repos. For exa…

gitStream AI Dashboard

The gitStream AI Dashboard shows AI-driven code review metrics, including reviewed PRs, accepted suggestions, and detected issues. Click charts for details or export the data for reporting.

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