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Free DORA Team Benchmark·4 DORA + 8 more

The 4 numbers that separate elite teams from the mediocre.

The DORA program at Google studied 30,000+ engineers to find the 4 metrics that define elite teams. See yours, rated against 500+ companies, plus 8 more benchmarks. Free.

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Read-only access We never see your source code SOC 2 Type II Built on DORA research
DORA benchmarkAll 4 delivery metrics
Anonymized data from 500+ engineering organizations + DORA research
The 4 DORA metricsClick a metric to see its rating →
Deployment FrequencyNeeds Focus0.4 per week8% ↓

How often code reaches production.

Needs Focus< 1 / week
Fair1 / week
Strong> 1 / week
EliteDaily+
4 DORA benchmarks+8 code review, planning, throughput & investment

Illustrative example: your report is built from your real data.

What you get

Your 4 DORA numbers, plus the 8 that explain them.

DORA shows whether delivery is Elite, Strong, Fair, or Needs Focus. The other eight benchmarks show why. Every metric comes with its current value, its rating, the change since last period, and the thresholds behind the rating.

EliteStrongFairNeeds Focus
01DORA delivery4 benchmarksThe four delivery signals
Deployment Frequency
How often code reaches production.
Elite Daily+
PR Cycle Time
Lead time from first commit to merge.
Elite < 42h
Change Failure Rate
Deployments that require a fix.
Elite < 15%
Mean Time to Recovery
Time to recover after production fails.
02Code review & flow4 benchmarksWhy delivery work waits
Code Review Size
Average number of changed lines per PR.
Elite < 105 lines
Code Review Time
Time from first review to approval.
PRs Merged
Pull requests merged per engineer each week.
Days with Commits
Days per week with at least one commit.
03Planning & investment4 benchmarksWhether commitments fit capacity
Issue Cycle Time
Time from in progress to done.
Elite < 2 days
Planning Accuracy
Share of planned sprint work completed.
Elite > 80%
Issues Resolved
Issues completed per engineer each week.
Innovation Investment
Engineering capacity spent on new work.
How it works

Connect once. Your DORA report builds itself.

Git provider
GitHubGitHubGitLabGitLabBitbucketBitbucketAzure DevOpsAzure DevOps
Issue tracker
JiraJiraLinearLinearClickUpClickUpAzure BoardsAzure Boards
01 · Connect

Pick one Git provider and one issue tracker.

Authorize read-only access and choose the repos and projects to include. About a minute.

Building your benchmark
  • Reading delivery metadata
  • Calculating the 4 DORA metrics
  • Comparing 12 metrics with the benchmark dataset
  • Building your report
Metadata only · source code is never read
02 · DevStats compares

DevStats reads metadata, not source code.

DevStats reads PR, review, deploy, and issue metadata. It compares all 12 metrics with the benchmark dataset and DORA research.

DevStatsjust now
Your Team Benchmark is ready
12 metrics rated. Deployment Frequency needs focus.
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03 · Your report

Get the four DORA ratings, plus eight metrics that explain them.

The report shows the rating, thresholds, and change since last period for every metric. We email you when it is ready.

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No credit card · Read-only access
More than DORA

DORA tells you what happened. The other eight show you what to fix.

“

Deployment Frequency says you ship too slowly. It does not say why.

The cause may be oversized PRs, slow reviews, uneven commit cadence, or an overloaded sprint. The other eight benchmarks narrow it down.

< 42h

PR Cycle Time under 42 hours is Elite.

This is the DORA lead-time signal. It tells you how long code waits before merge.

< 105

Code Review Size under 105 lines is Elite.

Oversized PRs take longer to review and usually wait longer to merge.

> 80%

Planning Accuracy above 80% is Elite.

A sprint planned above capacity misses work even when execution is healthy.

The research behind the benchmark

Built on the DORA research that surveyed 30,000+ engineers.

The thresholds come from anonymized delivery data across 500+ engineering organizations, with DORA research setting the bar for the four delivery metrics. Code review, planning, throughput, issue flow, commit cadence, and investment each carry their own documented benchmark.

30,000+
engineering professionals studied
DORA research program at Google
208×
more frequent deployments
elite vs low performers
7×
fewer change failures
elite vs low performers

Source: DORA State of DevOps research and the Accelerate book.

Elite< 42hPR Cycle Time
Elite< 105 linesCode Review Size
Elite> 80%Planning Accuracy
Elite< 15%Change Failure Rate
Elite< 2 daysIssue Cycle Time
EliteDaily+Deployment Frequency
EliteStrongFairNeeds FocusFour ratings. Change since last period. A 90-day view for every metric.
✓

Read-only access

We never write to your codebase or change settings.

✓

We never see your source code

Metadata only: timelines, counts, transitions.

✓

SOC 2 Type II

Encrypted in transit (TLS 1.3) and at rest (AES-256).

✓

Team-level by design

No individual developer rankings or activity scores.

“
"DevStats is one of these tools that you think you don't need, but it's just so easy to use and gives so many insightful details that you might be missing."
Gregor Ojstersek
Gregor Ojstersek
Engineering Leadership Newsletter
Questions

What engineering leaders ask before connecting data.

Yes. The report is free and does not expire. No credit card. Paid plans include Flow, AI Impact, DevEx, Squads, and per-player views. The trial only starts when you choose it.

Elite teams measure. Mediocre teams guess.

Get the 4 numbers that separate them, rated for your team, plus 8 more benchmarks built from your real delivery data. Yours to keep.

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