Classify your team as Elite, High, Medium, or Low using all four DORA metrics. Measure deployment frequency, lead time, CFR, and MTTR.
The DORA (DevOps Research and Assessment) metrics are four key measures of software delivery performance identified by the Accelerate research program. They classify engineering teams into Elite, High, Medium, or Low performers based on Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery.
This calculator lets you input your team's actual values for all four metrics and instantly classifies your performance tier for each metric and overall. Elite teams deploy on demand (multiple times per day), have lead times under one hour, change failure rates below 5%, and recover from incidents in under one hour.
DORA metrics are now the industry standard for measuring DevOps performance. They're used by engineering leaders, CTOs, and VP of Engineerings worldwide to benchmark their teams, justify tooling investments, and track improvement over time. This calculator gives you an instant assessment based on the latest DORA research thresholds.
Precise measurement of this value supports informed infrastructure decisions and helps engineering teams optimize system architecture for both performance and cost efficiency.
DORA metrics provide an objective, research-backed way to assess your team's software delivery performance. Instead of guessing whether your team is "fast enough," you can compare against data from thousands of organizations. This calculator helps identify your weakest metric so you can focus improvement efforts where they'll have the biggest impact.
Deployment Frequency: Elite ≥ 1/day, High = 1/day–1/week, Medium = 1/week–1/month, Low < 1/month. Lead Time: Elite < 1hr, High < 1day, Medium < 1week, Low > 1month. CFR: Elite < 5%, High < 10%, Medium < 15%, Low ≥ 15%. MTTR: Elite < 1hr, High < 1day, Medium < 1week, Low > 1month.
Result: Overall: High Performer
With 3 deploys/day (Elite), 4-hour lead time (High), 8% CFR (High), and 2-hour MTTR (High), the overall classification is High. To reach Elite, reduce lead time below 1 hour, CFR below 5%, and MTTR below 1 hour.
DORA metrics emerged from the largest study of DevOps practices ever conducted. The Accelerate State of DevOps report, published annually, surveys tens of thousands of professionals to identify practices that predict high performance.
Velocity without stability is reckless; stability without velocity is stagnation. DORA metrics capture both dimensions. Elite teams prove it's possible to be both fast and safe — they deploy more frequently AND have fewer failures.
Tools like Sleuth, LinearB, Faros AI, and Backstage can automatically track DORA metrics from your CI/CD pipelines and incident management systems. Start by instrumenting your deployment pipeline to capture timestamps at each stage.
Recent DORA research has added a fifth metric: Reliability. It measures how well a team meets its reliability targets (SLOs). This creates a direct connection between DORA metrics and the SRE practice of error budgets.
The four DORA metrics are: Deployment Frequency (how often you deploy to production), Lead Time for Changes (time from commit to production), Change Failure Rate (percentage of deployments causing failures), and Mean Time to Recovery (time to restore service after an incident). Documenting the assumptions behind your calculation makes it easier to update the analysis when input conditions change in the future.
Elite teams deploy multiple times per day, have lead times under one hour, maintain change failure rates below 5%, and recover from incidents in under one hour. About 26% of surveyed teams achieve Elite status according to recent DORA reports.
The thresholds come from the Accelerate research program led by Dr. Nicole Forsgren, Jez Humble, and Gene Kim. They analyzed data from thousands of organizations over multiple years to identify performance clusters and their correlations with business outcomes.
Yes, this is common. A team might deploy frequently (Elite) but have a high change failure rate (Low). The overall tier is typically the lowest of the four metrics, highlighting the weakest area for improvement.
Common improvements include: CI/CD automation (deployment frequency and lead time), feature flags (change failure rate), automated testing (change failure rate), monitoring and alerting (MTTR), and incident response runbooks (MTTR). Running this calculation with a range of plausible inputs can help you understand the sensitivity of the result and plan for different scenarios.
Yes. The research shows that high-performing teams exist across all organization sizes. Smaller teams may naturally have higher deployment frequency but less formal incident response. The metrics still provide valuable benchmarks regardless of team size.