Frame Questions That Drive Decisions

Hosted by Hai Guan, Shane Butler, and Sravya Madipalli

Wed, Feb 11, 2026

8:00 PM UTC (1 hour)

Virtual (Zoom)

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AI Analytics for Builders
Shane Butler, Sravya Madipalli, and Hai Guan
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What you'll learn

Identify questions that drive decisions over noise

Distinguish between questions that lead to actionable insights and questions that just generate busywork.

Apply the framework transforming ideas to AI-ready analysis

Learn the 3-part framework that transforms fuzzy instincts into specific, decision-driving questions that AI answers.

Validate AI outputs using analytical judgment

Master the meta-workflow for using AI to refine questions, sanity-check outputs, and know when to trust AI.

Why this topic matters

AI made analysis cheap. Now the costly mistake is asking bad questions. Teams rush to “ask ChatGPT” and get polished nonsense back. The gap between high-performing builders and everyone else isn't prompt engineering; it's analytical judgment. Learn the thinking framework that makes AI your analytical superpower instead of a source of false confidence.

You'll learn from

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.

Sravya Madipalli

Senior Manager, Data Science @Superhuman (Prev. Grammarly)| 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.

Ontra
LinkedIn
Meta
Pinterest
Nextdoor

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