Resource Center
Beyond the DORA Frameworks
In this report, 300+ CTOs, VPEs and Eng. Managers share their insights and step-by-step guidance for running a data-driven engineering practice. Inside you’ll find:
Real-life Use Cases: How leaders are driving Developer Productivity impact using engineering metrics.
Engineering Benchmarks: Data insights from a 2025 study of 6.1+ million PRs from 3,000+ organizations worldwide.
What Makes a Successful Eng. Team?: What elite engineering teams have in common and the role of metrics in their success.
Beyond the DORA Frameworks
Download your free copy
What's Inside?
DevEx Survey Results
We polled 300+ CTOs, VPEs, and Engineering Managers – hailing from start-ups and Fortune 500 companies alike. Inside, you’ll find their answers to the following questions:
- How often does your team deliver projects on time?
- How much time does your team spend on maintenance / tech debt?
- Do you use engineering metrics on your team (DORA, SPACE, etc)?
6 Practices of Elite Engineering Teams
Elite engineering teams have 6 main habits in common. In this report, you’ll discover insights like:
- Remote teams collaborate more seamlessly, and tend to wait for others 10% less.
- Engineering teams that prioritize clear requirements have 34% more projects shipped on time.
- Teams who ship multiple times a day vs. a few times per month are 19.4% happier with their dev practices.
Investment Benchmarks Insights
See why intentionally allocating engineering time across various categories (e.g. KTLO vs Improvements vs New Features) has strong positive correlation with several traits:
- +6.7% focus time (3.16 vs 2.96)
- +22% time spent as planned (55% vs 45%)
- +24% projects delivered on time (62% vs 50%)
- +14.7% happiness about dev practices (3.57 vs 3.11)
Getting Started with Engineering Metrics
Inside, you’ll find step-by-step guidance on how to get started with data-driven engineering practices using the Pyramid of Engineering Maturity:
- Transparency (foundation) — Being aware and creating feedback loops
- Intent (middle) — Intentional allocation and clear direction
- Speed (top) — Only valuable when built on the other two layers
Download your free copy
Related Resources
Guide
AI prompts for the LinearB MCP server
Interact with your data using the LinearB MCP server to get the insight you care most about.
Guide
AI productivity guide for engineering leaders
Discover how to track and drive AI productivity impact across your entire engineering organization.
Guide
AI code review tools: 2025 evaluation guide
We built the industry’s first controlled evaluation framework to compare leading AI code review tools with real-world code, injected bugs & an objective...