Metrics That Matter

Engineering Intelligence in the Age of AI | From Dashboards to Actionable Insights

AI is transforming how we build and deliver software — but more code doesn’t always mean more value. In fact, AI is exposing cracks in delivery pipelines, slowing throughput, and creating new risks. In this webinar, Adeeb Valiulla [https://www.linkedin.com/in/adeebvaliulla/] (Director of Technical Program Management, Harness) explains how to move beyond vanity metrics and dashboards to implement true Engineering Intelligence. You’ll learn how to translate engineering data into business outcomes, balance the three north stars of engineering (Efficiency, Productivity, Alignment), and operationalize improvements with real-world playbooks. 🔑 Key Takeaways ⇴ Why AI accelerates coding but strains delivery pipelines ⇴ How to balance Efficiency, Productivity, and Alignment (E/P/A) ⇴ Converting metrics like Lead Time, Deployment Frequency, and CFR into hours and dollars ⇴ Playbooks and a 90-day framework to operationalize insights ⇴ Proof points from industries including Banking, Cybersecurity, and Information Technology 💡 If you found this helpful, don’t forget to like, subscribe, and share this session with your team.

Measuring CI/CD transformation with Engineering Excellence

Accelerating CI/CD is not the goal—delivering outcomes is. 🚀 In this talk, Adeeb Valiulla, Director of Engineering Excellence at Harness, breaks down how organizations can measure and optimize their CI/CD transformations using Engineering Intelligence. You'll learn: * The key metrics beyond DORA that truly matter * How to diagnose delivery bottlenecks using data * Real-world case studies from cybersecurity, gaming, and financial services * How to align engineering success with business outcomes * The 4-stage CI/CD Maturity Model Whether you're an engineering leader, platform team member, or DevOps practitioner, this session will give you the frameworks and insights to turn DevOps initiatives into measurable, strategic wins.

The State of Software Engineering Excellence 2025 by Harness

What does it really take to build elite engineering teams in 2025? In this episode, we break down insights from the newly released State of Software Engineering Excellence 2025 report by Harness [https://harness.io/]. From the evolving role of AI to why DORA metrics alone are no longer enough, we explore the six pillars that define excellence—and how modern teams are shifting from output to outcomes. Whether you're a CTO, VP, or team lead, this conversation will help you assess your current state, spot gaps, and move up the Engineering Excellence Maturity Model. 🔗 Explore the full report: https://www.harness.io/the-state-of-software-engineering-excellence 🔗 Benchmark your Engineering Excellence maturity: https://engineeringx.org/maturity-assessment

Measuring Developer Experience in the Age of AI

As AI becomes deeply embedded in modern software development, how we define, and measure developer experience is rapidly evolving. In this special episode recorded live at the Developer Experience Summit, Harness Director Adeeb Valiulla moderates a candid and insightful conversation with: * Nathen Harvey, DORA Lead at Google Cloud * Sanjeev Hasiza, Global Director of Software Development & Architecture at Sensormatic (Johnson Controls) Together, they unpack: * Why traditional productivity metrics fall short in the age of AI * How to measure developer satisfaction, creativity, and flow * The subtle but critical impacts of GenAI on morale, collaboration, and value perception * The importance of balancing data-driven decisions with human-centered leadership This is a must-listen for engineering leaders, platform teams, and anyone shaping the future of DevEx. Move beyond vanity metrics. Focus on meaningful impact.

From Metrics to Impact: How Top Engineering Teams Drive Results with SEI

What separates good engineering teams from elite ones? Clarity, focus, and the ability to prove impact. In this episode, Adeeb Valiulla reveals how top-performing companies—from cybersecurity to gaming—are using Harness Software Engineering Insights (SEI) to transform scattered data into actionable intelligence that boosts efficiency, productivity, and alignment. * You’ll learn a step-by-step framework to: * Define meaningful engineering objectives * Configure SEI for real insights (not noise) * Use persona-based metrics to engage CTOs, directors, and product leaders * Set outcome-driven engineering OKRs * Scale review rhythms across teams for continuous improvement 📈 Plus, hear real-world examples of teams cutting PR times by 98%, improving change failure rates by 83%, and scaling deployment frequency to over 90 per day. 🔥 If you're ready to turn engineering data into business value—this episode is your blueprint. 🎧 Tune in and start operationalizing insight across your org.