dora-metrics
Measure DORA metrics & improve software delivery
Span's work graph brings together signals from code, tickets, incidents, and AI tools, to monitor DORA metrics — deployment frequency, lead time for changes, change failure rate, and mean time to recover.
PARTNERING WITH MANY OF THE BEST ENGINEERING ORGS
DORA still works, but it’s half the story. Your team needs AI-SDLC metrics too.
DORA helps answer whether you’re a well-run engineering org, built around the pull request as the unit of change. With Cursor, Claude Code, and Codex in the loop, your team needs new ways to measure and improve AI effectiveness. Even DORA agrees: its 2025 research was renamed the State of AI-assisted Software Development, and found delivery metrics alone are no longer enough.
Every DORA metric, calculated automatically
Lead Time to Production
See the full path from commit to production, broken into five stages so you know where delivery slows down.
Deployment Frequency
Track how often your team ships to production, calculated automatically from your deployment data.
Change Failure Rate
See what percentage of deployments cause an incident, using data from PagerDuty, Opsgenie, or incident.io.
Mean Time to Recover
Know how fast your team resolves production incidents, pulled directly from your incident management tool.
Span connects to your entire tech stack
Get a complete view of engineering performance out of the box —velocity, PR cycle time, sprint predictability, and more.
Understand performance in context
Benchmark against similar sized teams to see where you lead and where you lag. Ground improvement efforts in real comparisons, not guesswork.
See how work actually flows
Understand every stage of the development lifecycle — from issue created to PR merged. Spot friction and address bottlenecks before they slow delivery.
Ground evaluation in real work
Span runs structured evals across agent traces and connects sessions to PRs, turning AI-assisted work into measurable effectiveness signals.
Turn effectiveness scores into priorities
Establish a baseline for AI effectiveness and track where scores are moving, so teams know where to focus coaching or process changes.
Understand what drives each pattern
See the key traces behind each score, so teams can inspect the real examples behind each pattern.
See why forward-thinking engineering teams measure DORA metrics with Span
Zeta Global
zetaglobal.com
"Span gives us the ground truth behind our AI transformation. We can finally measure where AI is helping us move faster, think smarter, and deliver bolder."
Patrick D'Souza
senior Director of AI enablement
classpass
classpass.com
"With Span’s AI impact report, we finally have a way to move beyond gut instinct and rely on real evidence. It’s helping us see what truly drives results, and how we can keep leveling up as an organization."
Henrique Boregio
Director of Engineering
The Helper Bees
thehelperbees.com
"Span is quickly becoming the gold standard on measuring AI transformation. If you're using Span, you're doing something right."
Chad Bayer
VP of Technology
Fin
fin.ai
“Span gives us a level of visibility we’ve never had before. It shows exactly what our teams are working on and how that effort ladders up to our biggest priorities, so we can focus talent where it matters most.”
Michael Sands
Sr. Director, Product and Program Operations
Book a demo
Measure your engineering team’s health and boost productivity.
Track the impact of GenAI on your delivery pipelines.
Allocate your team resources based on business priorities.
Automate workflows and improve your developer experience.
Accurately forecast and deliver your projects on time.