DORA metrics

Your DORA metrics dashboard.
No manual work.

Deployment frequency, lead time for changes, change failure rate and recovery time, calculated automatically from your Git, CI/CD and incident tools. See whether AI is really making delivery faster and safer.

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DORA metrics
Last 30 days ▾Teams: All ▾
Deployment frequency4.2 / dayElite
Lead time for changes1d 6hHigh
Change failure rate4.8%Elite
Recovery time2h 40mHigh
Deployments per week ▾
AprMayJunJul
Illustrative data
The four metrics

Speed and stability.Measured the same way everywhere.

Two metrics tell you how fast you ship, two tell you how stable it is. Axify calculates them from the same events for every team, and shows the DORA performance level of each.

Deployment frequency

How often you deploy to production, by day, week or month. A steady rhythm means small changes that carry less risk.

Deployment frequency
Elite
AprMayJunJul
Deployments per week

Lead time for changes

The time from first commit to production, split into coding, pick-up, review and deployment.

Lead time for changes
1d 6hmedian
Coding9h
Pick-up11h
Review7h
Deployment3h

Change failure rate

The share of production deployments that caused an incident. It links your deployment and incident tools.

Change failure rate
Elite
Deployments126
Failed deployments6
Failure rate4.8%
AprMayJunJul

Failed deployment recovery time

How long it takes to restore service after a failed deployment, based on your resolved incidents.

Resolved incidents
2h 40maverage
1checkout-api4h 10m
2search-indexer2h 25m
3mobile-gateway1h 50m
4billing-worker0h 35m
5auth-service0h 25m
6notifications0h 15m
Illustrative data
Analysis

Four numbers.And all the detail behind them.

An average doesn’t tell you where to act. Axify shows which team, project and deployments move each metric.

BREAKDOWN

By team, project, group and contributor

Compare teams and spot the ones that need support.

TREND

Over time

By day, week or month, with a comparison to the previous period.

DRILL-DOWN

Down to deployments and incidents

Open the list of deployments and incidents behind every number.

DORA and AI

AI is a lever.DORA tells you if delivery follows.

In Explore, put AI tool usage next to deployment frequency or PR throughput, for the same teams and periods. Ask Axify Intelligence, in the app or from Claude, ChatGPT and Cursor through the MCP server.

Axify Intelligence
“Why did Payments lead time go up?” Payments’ lead time for changes went from 1d to 1d 9h, mostly from pick-up time: PRs wait longer for a first review.
AI adoption and impact → Axify Intelligence → MCP server →
Explore
AdoptionImpactCostsAI score
AI tokens ▾compared toDeployment frequency ▾
AI tokensDeployment frequency
Illustrative data
How it works

Your DORA metrics.In three steps.

STEP 01

Connect your code and deployments

GitHub, GitLab, Bitbucket or Azure DevOps, read-only. Webhooks cover any other pipeline.

GitHubGitLabBitbucketAzure DevOps
STEP 02

Add your incidents

New Relic, Jira, Azure DevOps, GitLab incidents or a webhook. They feed change failure rate and recovery time.

JiraAzure DevOpsGitLab
STEP 03

Track and improve

The four metrics calculate themselves. Compare teams, follow the trend and see the effect of your changes.

Customer results

Measure, then ship faster.

51%

Up to 51% faster delivery in 3 months

The Business Development Bank of Canada (BDC) cut its delivery time by shifting QA left and working in smaller stories.

Read the case study →
22X

22X more deliveries in 5 months

With 63% shorter lead time for changes, after a team reorganization and automated deployment.

Read the case study →
Related features

Go beyond DORA.

VALUE STREAM MAPPING

See where work waits

Delivery lead time split by stage, from planning to production.

Explore value stream mapping →
ENGINEERING METRICS

Beyond the four metrics

PR cycle time, throughput, work in progress and issue metrics, in the same dashboard.

Explore engineering metrics →
AI ADOPTION & IMPACT

Measure AI adoption

Who uses AI coding tools, how much, and how delivery changes.

Explore AI adoption →

Frequently asked questions

What are the four DORA metrics?
Deployment frequency, lead time for changes, change failure rate and failed deployment recovery time. Axify calculates all four automatically.
Which tools does Axify use to calculate DORA metrics?
GitHub, GitLab, Bitbucket and Azure DevOps for code and deployments, Jira or Azure DevOps for work items, and New Relic or webhooks for incidents.
Do I need to enter data manually?
No. Data comes from read-only integrations. Axify never writes to your tools.
How does Axify define a deployment and an incident?
A deployment is a production CI job or a webhook event. Change failure rate counts production deployments that caused an incident. Recovery time only counts resolved incidents tied to a deployment.
Can DORA metrics show whether AI coding tools are helping?
Yes. In Explore, AI usage sits next to deployment frequency and PR throughput, for the same teams and periods. You see the trends side by side.
Can I compare teams and projects?
Yes. Every metric breaks down by team, project, group and contributor, with a comparison to the previous period.
Which plan includes it?
DORA metrics are included in the Pro and Enterprise plans. Every plan starts with a 14-day free trial, no credit card required.

Want the full picture? Get the DORA metrics e-book →

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