Spreadsheets 101: Analyze Any Sheet with AI

Hosted by Shane Butler, Sravya Madipalli, and Hai Guan

Wed, Aug 19, 2026

5:00 PM UTC (1 hour)

Virtual (Zoom)

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

Clean a messy sheet by prompting

Fix blank cells, split columns, and standardize dates and labels by asking, no formulas and no find-and-replace.

Find the trend and the right chart

Get AI to surface what actually changed, then pick the one chart that shows it instead of a wall of numbers.

Check the AI before you trust a number

The quick sanity checks that catch a confident but wrong answer, so you never send a bad number.

Get a 3-line recommendation you can send

Turn the analysis into a short, plain-English recommendation your team can act on the same day.

Why this topic matters

That messy spreadsheet you have been avoiding? AI can analyze it in minutes. The barrier was never the data, it was the tooling: pivot tables, formulas, the wait on a data team. That barrier is gone. The new skill is knowing how to ask, and how to tell whether the answer is right. This session is how to get real analysis from any sheet, no formulas: clean it, chart it, check it, and recommend.

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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