Analyze Data in Google Sheets with Claude Code

Hosted by Shane Butler, Sravya Madipalli, and Hai Guan

Wed, Jul 1, 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

See how AI turns messy data into a Google Sheet

The path from raw data to a clean trend, a pivot, and the right chart, just by asking.

Run a full analysis live, no code

From a plain-English question to a chart to a 3-line recommendation in one sitting

Keep the AI honest before you trust the number

The quick checks that catch a confident but wrong answer, so you do not ship a bad number.

Walk away with a prompt pack you can use at Work

Copy-paste prompts and a starter template you can point at your own spreadsheet the same day.

Why this topic matters

AI can create and analyze a spreadsheet in seconds. The barrier was never the data; it was the tooling, and that barrier is gone. The new skill is knowing how to ask and how to tell whether the answer is actually right. This session teaches the simple loop for getting real answers out of any sheet with AI: how to frame the question, how to sanity-check the result so you can trust it.

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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