Shane Butler
Sravya Madipalli
Hai Guan
Rachel Herrera
Free series

Build Your AI Product Analyst

See what an AI product analyst can do and how it works through live demos. We walk through the possibilities in tools you already use, like Google Sheets and Slides, the Claude Code building blocks (skills, agents, hooks, MCP), and packages in Claude Cowork, so you leave with the what, the how, and a take-home resource each session. Sign up for all, get every recording.

Jul 8 – Dec 23, 2026
Virtual (Zoom)

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Join 945 students

Wed Jul 8·5:00 PM UTC

Claude Code 101: Learn what Skills, Agents, and Hooks are

Claude Code has a lot of moving parts, and most people stall before they start because they cannot tell a skill from an agent from a hook. The pieces are simple once someone maps them for you. This session is that map: what each building block is, when to use it, and how they orchestrate into a working AI analyst.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Jul 22·5:00 PM UTC

Product Analytics 101: From Question to Decision with AI

Most analysis never leads to a decision. It stalls in a dashboard, a deck, or a "let me look into it." Getting the answer stopped being the hard part once AI could crunch the data. The hard part is asking the right question and knowing when the answer is good enough to act on. This session is the full workflow from a fuzzy ask to a decision, using AI.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Jul 29·5:00 PM UTC

Build Google Slides from Data with AI

What if your analysis could turn itself into a clean deck? The slow part of a readout was never the thinking, it was the hours spent formatting charts, wording titles, and lining up boxes. AI can now do that part in minutes, which means the real skill is telling the story clearly. This session is the full workflow from data to a presentation-ready Google Slides deck with AI

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Aug 5·5:00 PM UTC

Build the Context That Makes AI Data Agents Reliable

Ask an AI the same data question five times and you can get five answers. That is not a model problem, it is a context problem: the agent guesses your metric's meaning differently each run. This session is why agents drift and how one clear definition makes them reliable. You write the contract that stops the drift and watch the answers converge on a single number your whole team can trust.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Aug 12·5:00 PM UTC

Open Models 101: What Are They and How to Use Them

The AI model behind your AI analyst is a decision most builders never make on purpose. They default to the biggest name and pay for it on every run. Open models now do analyst-grade work at a fraction of the price and needed privacy, but nobody shows you a fair test on real work. This session is that test: same tasks, head to head, graded on quality, cost, and speed, so you pick with evidence.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Aug 26·5:00 PM UTC

Claude Cowork 101: Build Your First AI Data Analyst

Building an AI analyst used to mean a terminal, a repo, and a setup marathon that lost most people before their first insight. Claude Cowork changes that. You assemble plugins and packages in the browser, point them at your data, and you have an analyst that reads, analyzes, and reports. This session shows you how to build that first analyst, run a real analysis with no code, and share it out.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Sep 2·5:00 PM UTC

Data Storytelling 101: Build an Exec Readout with AI

Great analysis gets ignored when the story is buried. Getting the answer stopped being the hard part once AI could crunch the data. The hard part is landing it: turning a pile of charts into a readout that makes a busy exec decide. This session is the workflow: lead with the insight, structure the problem, insight, and ask, take a position, and anticipate the pushback before it lands.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Sep 16·5:00 PM UTC

Claude Code 101: Ground Claude in Your Business Data

AI does not know your business until you teach it. Ask a fresh model about your numbers and it guesses what "active" means, invents a table name, or answers the wrong question. The fix is not a better prompt every time, it is giving Claude your context once: your tables, your terms, and what your metrics mean. This session shows you how, live, and you leave with a starter kit for your own setup.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Sep 30·5:00 PM UTC

Ace Analytics Interviews with AI

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

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Oct 7·5:00 PM UTC

Metrics 101: Define a North Star with AI

Most North Star metrics are vanity metrics in disguise. They climb on a slide while retention sits flat, and a whole quarter gets aimed at the wrong number. AI can pressure-test yours in minutes: it checks the definition, tests whether it leads or lags, and breaks it into levers you can move. This session is the workflow for defining a North Star that holds up, and you leave with a checklist.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Oct 14·5:00 PM UTC

How to Teach AI How Your Company Works

AI doesn't know which data your company trusts, how you define revenue, or the rules behind your reports. Explaining that in every chat takes time, and missing details lead to misleading answers. In partnership with Hex, the industry leader in agentic analytics, we'll teach you how to learn to reuse knowledge in your documents, reports, and code so AI can help with real questions at work. Make AI analytics reliable.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Fri Oct 30·5:00 PM UTC

How to Fix the Mistakes Your AI Analyst Keeps Making

Correcting the same AI mistakes in every chat wastes time. As more people use AI for analysis, those mistakes reach more decisions. Join the AI Analyst Lab and Hex, a leader in agentic analytics, to learn how to use Hex's context-consultant skill to find missing business rules, draft better guidance, and test changes before sharing them. Leave with a process for improving the answers your team relies on.

You'll learn from

Rachel Herrera

Product Evangelist, Hex

Shane Butler

Co-founder, AI Analyst Lab

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Wed Dec 9·6:00 PM UTC

Spreadsheets 101: Analyze Any Sheet with AI

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

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

Wed Dec 23·6:00 PM UTC

Experimentation 101: Run an A/B Test with AI

Most experiment readouts ship bad decisions: p-values without validity checks, no segment analysis, vague recommendations. AI makes it easier to crunch numbers, which makes it easier to crunch the wrong ones. Learn the Agentic Experiment Loop to design, validate, and analyze tests, then see how AI agents accelerate every stage without replacing judgment.

You'll learn from

Shane Butler

Co-founder, AI Analyst Lab

Sravya Madipalli

Senior DS Leader (Ex-Microsoft)

Hai Guan

Head of Data at Ontra, Ex-LinkedIn

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