Crack Product Sense & Analytics Interviews with AI

Hosted by Sravya Madipalli, Hai Guan, and Shane Butler

Wed, Feb 25, 2026

8:00 PM UTC (30 minutes)

Virtual (Zoom)

Free to join

Invite your network

Go deeper with a course

AI Analytics for Builders
Shane Butler, Sravya Madipalli, and Hai Guan
View syllabus

What you'll learn

Work with AI as an interview prep partner

Practice product sense and analytics questions with AI that pushes, probes, and mirrors real interviews.

Assess your interview skills and pinpoint gaps

Learn how to use AI to evaluate your responses across scoping, metrics, tradeoffs, and decisions

A clear framework for product sense & analytics interviews

Structure answers consistently and use AI to test, refine, and improve them across repeated practice.

Join AI Builders Slack Community. Link: bit.ly/ai-connect

Learn Agentic Analytics workflows and AI Eval design. Get feedback on what you’re building from other AI builders.

Why this topic matters

Product sense and analytics interviews evaluate how well you apply a structured framework, scoping problems, structuring metrics, reasoning about tradeoffs, and making decisions. This lesson teaches that framework and shows how to use AI to practice intentionally, assess execution, and strengthen analytical judgment through focused repetition.

You'll learn from

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Sravya Madipalli is a Senior Manager of Data Science with 14+ years of experience helping teams make better decisions with data. She has built and led data science and product analytics teams at Microsoft, eBay, Nextdoor, and Superhuman (prev. Grammarly), working closely with product, engineering, marketing, and leadership. Her expertise spans experimentation, metrics design, modeling, analytics, and translating complex user behavior into clear, actionable insights.

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Hai Guan leads the data organization at Ontra, the leading legal tech AI solutions for private markets. He previously led Data Science & Analytics at LinkedIn, Nextdoor, Pinterest, and Meta. He's spent a decade teaching product development teams how to ask questions that actually drive decisions—and now teaches how to combine that judgment with AI to move 10x faster.

Shane Butler

Principal Data Scientist at Ontra

Shane Butler is a Principal Data Scientist at Ontra, where he leads evaluation strategy for AI product development in the legal tech domain. He has more than ten years of experience in product data science and causal inference, with prior roles at Stripe, Nextdoor, and PwC. Shane is also the co-host of the AI podcast Data Neighbor, where he interviews product, data, and engineering leaders who are pioneering the next generation of data science and analytics in an AI-driven landscape.

Sign up to join this lesson

By continuing, you agree to Maven's Terms and Privacy Policy.