The Hows & Whats of DORA with Mario Mechoulam & Joan Capell | Typo Webinar

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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.

🎯 What You’ll Learn:
🔁 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).

💬 Actionable Tips from Engineering Leaders
Get hands-on advice from Mario and Joan on integrating metrics into your team rituals like retros and planning.

📌 If you're leading dev teams or scaling engineering processes, this one’s for you.

🔗 Connect with Mario:   / mario-viktorov-mechoulam  
🔗 Connect with Joan:   / joan-díaz-capell-a5855717  
👤 Connect with Kovid:   / kovid-batra-73b38368  

⏳ Jump Directly to:
00:00 – Let's begin!
00:51 – Meet the Experts: Mario and Joan (Engineering Leaders)
02:20 – Why Engineering Metrics Matter & How to Reduce Team Friction
12:06 – Intro to Monte Carlo Forecasting in Engineering
13:04 – How Monte Carlo Methodology Improves Predictability
32:51 – Realities of Data-Driven Software Forecasting
33:12 – Common Pitfalls: Overestimating Team Capacity
33:31 – Transparency in Engineering Data: Why It Matters
36:08 – Measuring Throughput: What to Track
38:25 – The Role of Consistent Work Item Sizes in Forecasting
44:21 – Q&A: Using Metrics to Drive Engineering Team Performance
58:46 – Final Thoughts & What's Coming Next

🎧 Listen to the Full Episode:
Substack: https://grocto.substack.com/p/webinar...
Apple Podcasts: https://podcasts.apple.com/in/podcast...
Spotify: https://open.spotify.com/episode/6IJ0...
Amazon Music: https://music.amazon.in/podcasts/d349...

📝 Read the Full Transcript:
Typo Blog: https://typoapp.io/blog/webinar-hows-...
Medium Blog:   / webinar-the-hows-whats-of-dora-with-mario-...  

📊 Whether you're a CTO, engineering leader, or developer, this is your guide to building a high-performing team that thrives on honest feedback and data-driven results.
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