DORA metrics dashboards for the enterprise reality
Measure industry-standard KPIs for software engineering velocity and quality with DORA metrics. Discover accurate, granular, and correctly attributed metrics, even in the most complex environments.
Some of our customers include
Only Faros AI generates accurate, team-level DORA metrics with insights you can act upon.
Capability
Faros AI
Other Venders
Easy
Integrations to SDLC
Integrates with task, CI/CD, source control, and incident management tools—including homegrown
Limited set of tools supported
Ease of setup and customization
Out-of-the-box dashboards light up in minutes, and customization is easy
Time-consuming setup with no customization options
Accurate
Compatible with how teams work
Supports custom deployment processes, unique merge tools, and multiple pipelines
Standard workflows only
Metric accuracy
Generated accurately from the complete lifecycle of every code change
Proxy metrics and loose definitions, based on Jira and VCS only
Correct attribution
Attributed to the right team and application, even in a monorepo
Attributed to repo/project only
Actionable
Metric granularity
Detailed breakdown of all the stages within a metric (task, PR, and deployment cycles)
Typically excludes deployment cycles
Tailored thresholds
Metrics and thresholds can be tailored to each team
One size fits all
Personalized guidance
Team-tailored insights into performance inhibitors and recommended remediations
Not supported
Automation and notifications
AI summaries of key insights and trends, and alerts for significant changes
AI summaries not provided
Rollup and drilldowns
By org structure (your real teams!) or product hierarchy
Flat view by project
Historical data
Unlimited History
Limited to 90 days for some vendors
Enterprise Ready
Security and compliance
GDPR, SOC2, and ISO 27001 compliant
Varies by vendor
Deployment flexibility
Full SaaS, hybrid, and on-prem
SaaS only
DORA metrics that help remove friction from engineering workflows.
Years of research have proven the link between high-performing technology organizations and business success. The four DORA metrics are the industry’s go-to measures of software delivery performance. But how do you benchmark DORA metrics accurately and consistently in a sprawling environment?
Faros AI is field-proven to generate accurate and detailed DORA metrics dashboards in the most complex engineering organizations.
With Faros AI, development teams now have the insights to pinpoint sources of issues and can better prioritize improvements.
Tulika Garg
Director of Product Management for Developer Enablement and Ecosystem, Autodesk
Trace every code change, from idea to production.
DORA metrics dashboards are the most visible measures to leadership. So no cutting corners.
- Generate accurate metrics from task, source control, and CI/CD tools.
- Incorporate your unique deployment processes, unique merge tools, and multiple pipelines.
- Leverage DORA software metrics within minutes with pre-built dashboards and native connectors to common version control, CI/CD, and incident management tools.
- Examine different stages of the SDLC to identify bottlenecks and friction.
Improve DORA performance with personalized insights.
It’s hard to improve a metric you don’t understand. So we spell it out.
- Slice and dice every metric by team—based on your actual org chart—and by application.
- Overlay and correlate developer survey data with DORA metrics for additional context.
- Get alerts for meaningful changes and threshold breaches to drive improvements.
- Subscribe to weekly dashboards, AI summaries, and personalized recommendations.
Benchmark performance with cross-org DORA metrics scorecards.
Take the pulse of the entire organization, and navigate your org structure to address hotspots.
- Get a bird's-eye view of DORA metrics, color-coded by the latest benchmarks.
- Drill down into groups and leaf teams for details and click into team dashboards for a closer look.
- Monitor trends over time to assess the true impact of interventions.
- Customize the benchmarks per team in cases where the standard definitions don’t apply.
