DORA Metrics in Practice 2026
Headlines, social variants, boilerplate, high-resolution figures, and brand assets — for journalists, analysts, and anyone covering this report.
Embargo: Public from publish date 2026-05-18. No embargo. · Press contact: research@newlightai.com
Canonical URL
Always cite the canonical URL. The page evolves from Volume 0 to Volume 1 at the same URL; readers who cite Volume 0 today will automatically cite the most current version when crawlers re-fetch.
https://www.stride.page/research/dora-metrics-in-practice-2026
Alternative headlines
Pick whichever angle best fits the publication. Every headline is factually accurate and avoids overclaiming.
Seven years of DORA, in one frame
What DORA says — and what it explicitly doesn't
Volume 0: pre-registering the AI-era DORA segmented refresh
Beyond the four metrics: what the elite quartile actually has in common
Why "AI causes elite DORA" is the most popular misreading of the literature
Twitter — single post
Seven years of DORA Accelerate Reports are the longest-running large-N cohort study in software delivery. The popular reading often misses what DORA explicitly says about causation. Volume 0 reads the cross-year synthesis + pre-registers the AI-era segmented refresh.
Twitter — thread starter
Pairs naturally with a screenshot of the effect-range chart (Figure 2 on the report page).
DORA 2024 found AI adoption is 1.4× higher in elite-quartile teams. The popular reading: AI causes elite performance. DORA's published reading: correlation only. Volume 0 of DORA Metrics in Practice 2026 just dropped —
Today we're publishing Volume 0 of DORA Metrics in Practice 2026. The DORA Accelerate State of DevOps Report is the most-cited delivery benchmark in software engineering and the longest-running large-N cohort study in the field — seven annual reports from 2018 through 2024. The framework is rigorous; the popular interpretation often isn't. DORA explicitly does NOT claim causation between AI adoption and elite-quartile performance, yet the popular reading routinely treats the 1.4× correlation as a causal claim. Volume 0 reads what seven years of DORA actually establishes. Volume 1 (Q4 2026) lands the primary findings from an 800-respondent segmented refresh that DORA's annual cadence doesn't publish in real time: industry × team size × AI-adoption-depth × practice-maturity. The hypotheses are pre-registered now. If you're an engineering leader and want to participate in Volume 1: research@newlightai.com.
Hacker News — title
DORA Metrics in Practice 2026 — Volume 0: seven-year synthesis + pre-registered design
Hacker News — author seed comment
Posted right after submission to set context, surface caveats up front, and invite questions.
Author here. Two notes: (1) Volume 0 is intentionally a synthesis of seven years of published DORA reports + pre-registration. The 800-person segmented refresh fields Q3 2026; Volume 1 ships at the same URL when fielding closes. (2) The interesting tension Volume 1 tests: does AI adoption *cause* elite-quartile DORA performance, or does pre-existing engineering practice maturity explain both? DORA 2024 reports correlation; we're testing causation with controls for company size + practice maturity. Happy to answer questions about the pre-registration, the practice-maturity composite, or the dataset (CC-BY-4.0).
Mastodon
Volume 0 of DORA Metrics in Practice 2026 is up. Seven years of DORA Accelerate Reports synthesised + pre-registered design for an 800-person AI-era segmented refresh. Dataset under CC-BY-4.0 when Volume 1 ships Q4 2026. https://www.stride.page/research/dora-metrics-in-practice-2026
Boilerplate — short (≈50 words)
Inline at the bottom of a release or as the publisher footer.
Stride Research is the research arm of Newlight Solutions, publishing pre-registered studies on AI-native software delivery. DORA Metrics in Practice 2026 is the third Volume 0 in the 2026 research series.
Boilerplate — medium (≈100 words)
For an 'about the publisher' card or press-bio section.
Stride Research is the research arm of Newlight Solutions, publishing pre-registered studies on AI-native software delivery. The 2026 research series combines public landscape syntheses (Volume 0) with primary survey + telemetry findings (Volume 1) at a single canonical URL per study, so citations to the work age forward as the dataset deepens. Every dataset publishes under CC-BY-4.0 with a Zenodo DOI for permanent citability.
High-resolution figures
Each figure regenerates the inline-SVG chart at 2400px wide as a transparent PNG, suitable for print or large-format syndication. Right-click → Save link as.
- Download PNG (2400px) →Figure 1 — DORA quartile distribution 2018–2024Stacked bar chart of seven years of DORA Accelerate Reports showing the share of respondents in elite, high, medium, and low quartiles each year.
- Download PNG (2400px) →Figure 2 — The four DORA metrics, thresholds cardReference card visualising elite, high, medium, low thresholds for each of the four DORA metrics.
- Download PNG (2400px) →Figure 3 — AI adoption by DORA quartile (2024)Bar chart of AI adoption rate by DORA quartile from the 2024 report, with explicit correlation-not-causation caveat baked into the chart title.
- Download PNG (2400px) →Figure 4 — DORA literature timeline 2014–2026Timeline of DORA research history from 2014 through Stride V0 (today) and V1 (forthcoming Q4 2026).
Brand assets
Stride + Newlight logos for use alongside coverage. All assets are SVG; PNG raster fallbacks live at the matching paths under /brand/logos/.
- Stride lockup — horizontal (black, for light backgrounds)Open SVG →
- Stride lockup — horizontal (white, for dark backgrounds)Open SVG →
- Stride logomark (parallelograms only — square)Open SVG →
- Stride lockup — stacked (for narrow placements)Open SVG →
Executive summary PDF
6-page server-rendered PDF: cover, TL;DR, key findings, effect-range chart, methodology one-pager, citation + references.
Download executive summary PDFReach out for an embargoed pre-brief, additional figures, or a researcher Q&A: research@newlightai.com.