Ace Analytics Interviews with AI

Part of Build Your AI Product Analyst

Hosted by Shane Butler, Sravya Madipalli, and Hai Guan

Wed, Sep 23, 2026

5:00 PM UTC (1 hour)

Virtual (Zoom)

Free to join

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Automate AI Evals with Claude Code
Shane Butler
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What you'll learn

Practice real interview questions with AI

Run through product sense and analytics case questions with AI playing the interviewer, so you rehearse before interview

Structure answers that land

Use a simple frame to organize your thinking out loud, so your answer sounds clear and deliberate instead of rambling.

Get feedback on your reasoning

Have AI pressure-test your logic and flag the gaps, the same way a sharp interviewer would.

Build a study loop you can repeat

Leave with a prep routine you can run on your own, as many reps as you want, right up to interview day.

Why this topic matters

Analytics interviews are hard, and prepping alone by rereading notes never simulates thinking out loud while someone probes your reasoning. AI is the study partner you wish you had: it plays the interviewer, asks real product sense and case questions, and tells you where your logic breaks. This session is how to prep with AI, keep it honest, and leave with a loop you can run before the real thing.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Shane Butler is a Co-Founder of the AI Analyst Lab. Previously he led 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.

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.

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