DORA Metrics Consulting: Improve Software Delivery Performance & Engineering Velocity
We help engineering teams move from mid-tier to elite DORA performance — with a clear, measurable roadmap tied to growth, cost, and risk, not just dashboards.
Trusted by engineering teams across transportation, healthcare, financial services, and government since 1996
What are DORA metrics?
DORA metrics are four measures of software delivery performance — deployment frequency, lead time for change, change failure rate, and time to restore service. They were developed by Google’s DevOps Research and Assessment (DORA) team and are published annually in the Accelerate State of DevOps Report, the industry’s most cited benchmark for engineering performance.
DORA metrics tell you how fast and how safely your team ships software. They don’t tell you whether what you’re shipping is the right thing, or whether it’s built to last — that gap is where most DORA programs stall out. (See below.)
SOURCE: GOOGLE CLOUD, ACCELERATE STATE OF DEVOPS REPORT ↗Why DORA metrics matter for engineering leaders and CTOs
DORA metrics matter because they translate engineering performance into a language executives already understand: growth, cost, and risk.
Growth
Elite performers deploy far more frequently and recover from failure far faster than low performers — which means new features and fixes reach customers sooner.
Cost
Slow lead times and high failure rates are expensive in ways that don’t show up on an invoice: rework, firefighting, and lost productivity.
Risk
A high change failure rate or long time-to-restore is an outage waiting to happen — and a board-level risk conversation waiting to happen with it.
Elite performers deploy on-demand, multiple times per day — low performers deploy less than once every six months. Source: Accelerate State of DevOps Report (DORA)
The 4 DORA metrics: deployment frequency, lead time, change failure rate & MTTR
What is deployment frequency?
Deployment frequency measures how often a team successfully releases code to production.
Highly productive teams opt for smaller, more frequent releases — this builds customer confidence and loyalty, keeps you ahead of competitors, and accelerates delivery of business value.
What is lead time for change?
Lead time for change measures the time from a code commit to that code running in production.
This metric captures a team’s cycle time and its ability to adapt to an evolving roadmap. The shorter the lead time, the more responsive the team — and the faster new value reaches users.
What is change failure rate?
Change failure rate is the percentage of production changes that result in incidents, rollbacks, or degraded service.
According to the Accelerate State of DevOps Report, elite and high-performing teams keep change failure rate between 0–15%. A rising rate is often the earliest warning sign of technical debt or process breakdown.
What is mean time to restore (MTTR)?
Mean time to restore measures how long it takes a team to recover service after an incident or outage.
MTTR is measured from when an incident is reported to when service is fully restored. It’s a direct proxy for system resilience — and for how confidently your team can respond under pressure.
DORA metrics benchmarks: Elite vs. High vs. Medium vs. Low performers
| Metric | Elite | High | Medium | Low |
|---|---|---|---|---|
| Deployment Frequency | On-demand (multiple/day) | Weekly–monthly | Monthly–every 6 months | Less than every 6 months |
| Lead Time for Change | Less than 1 day | 1 day – 1 week | 1 week – 1 month | 1–6 months |
| Change Failure Rate | 0–15% | 16–30% | 16–30% | Over 30% |
| Time to Restore Service | Less than 1 hour | Less than 1 day | 1 day – 1 week | More than 6 months |
Confirm exact current-year tiers against the latest Accelerate report before publishing — these shift slightly year to year. Source: Google Cloud, Accelerate State of DevOps Report.
Why DORA metrics alone aren’t enough — and what STG measures instead
What DORA metrics don’t measure
DORA metrics tell you how fast and how safely you ship. They don’t tell you:
Teams that optimize DORA metrics in isolation often hit a ceiling — or worse, game the numbers (smaller commits just to boost deployment frequency) without moving the business forward.
STG’s Engineering Excellence Model: beyond the four keys
Extends the four DORA metrics with measures tied to the Growth / Cost / Risk pillars of the STG Strategic Technology Framework®.
GROWTH MEASURES
e.g. feature adoption, time-to-value, roadmap predictability
COST MEASURES
e.g. cost per deployment, rework rate, infra spend efficiency
RISK MEASURES
e.g. security posture, compliance coverage, architectural debt
Placeholder framing — STG to supply the named model and its specific additional measures. This is the page’s core differentiator.
How STG’s DORA Assessment works
Discovery & baseline measurement
We measure your current DORA metrics and engineering practices against elite-performer benchmarks.
Gap analysis
We identify exactly where you’re losing time, money, and reliability — mapped to Growth, Cost, and Risk.
Prioritized roadmap
You get a clear, sequenced plan — not a 40-page deck that sits on a shelf.
Implementation & re-measurement
We work alongside your team to implement changes and track improvement over time.
Is DORA consulting right for your engineering team?
DORA metrics FAQ
A “good” score depends on your industry and stage, but elite performers deploy on-demand, recover from incidents in under an hour, and keep change failure rate under 15%. Most organizations sit in the medium tier and can meaningfully improve within 6–12 months of focused work.
DORA metrics are typically pulled from your CI/CD pipeline, version control, and incident management tools (e.g. deployment logs, commit timestamps, incident tickets). STG’s assessment establishes a clean baseline even if this data is currently scattered across systems.
DORA metrics measure delivery speed and stability (four specific metrics). SPACE is a broader framework that adds developer satisfaction, collaboration, and efficiency — it’s meant to complement DORA, not replace it. STG’s Engineering Excellence Model incorporates elements of both.
Most teams see measurable movement within 3–6 months of focused changes to process, tooling, and architecture. Larger organizational or architectural shifts can take 12+ months.
DORA metrics were built for software delivery specifically, but the underlying principle — measure speed and stability together, not speed alone — applies to any team shipping digital products or IT changes.
Common options include GitHub/GitLab analytics, Jellyfish, LinearB, Sleuth, and custom dashboards built on CI/CD and incident data. STG is platform-agnostic and can work with whatever’s already in your stack.
Ready to see where your team ranks?
Get a clear, benchmarked view of your team’s DORA performance — and a prioritized plan to close the gap. No jargon, no 40-page deck.