In this episode of the ‘How and Whats of DORA’ webinar, host Kovid Batra brings back Mario Viktorov Mechoulam, newly promoted to Director of Engineering at ContentSquare, and Joan Díaz Capell, an Engineering Manager at New Relic. Following up on their previous discussion, they delve into the Monte Carlo method, exploring how it can bring predictability to software development projects. They discuss the importance of understanding engineering metrics, team dynamics, and project predictability, offering actionable tips on data collection and interpretation.
The panel also addresses questions from the audience, focusing on the practical applications and challenges of implementing these metrics in real-world scenarios.
💡 Highlights
🔁 How Monte Carlo Forecasting Drives Predictability
Discover how engineering teams use Monte Carlo simulations to predict delivery timelines and reduce uncertainty.
📐 Engineering Metrics That Matter
Learn how to track and interpret metrics like throughput and work item consistency for better planning and performance.
🔍 Reducing Team Friction with Better Data
Explore how transparent metrics help align teams, reduce confusion, and improve collaboration across functions.
📊 Avoiding the Pitfalls of Overestimation
Understand why overestimating team capacity hurts delivery and how data can help you course-correct.
🎯 Using Metrics in Real-World Scenarios
Hear how leaders at New Relic and ContentSquare apply these metrics practically (and what challenges they face).
🎧 Full Webinar
Listen on YouTube, Spotify, iTunes/Apple Podcasts, Amazon Music & more.
Read the Episode Transcript.
Thanks for listening to the webinar. That’s it for today 👋
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