George Xing

Cohort 1

Cohort 3

Cohort 2

Master the latest AI tools for product analytics to get ahead. Become the self-sufficient, data-driven product leader your company needs.

Product lead at Stripe. Former head of analytics at Lyft and startup founder.

AI-Powered Product Analytics

Data Analyst

Senior Product Manager

Product Manager

Product Manager - Checkout and Payments

Director - Digital

Product Manager, Health

The best product managers&nbsp;rely on data and analytics to build better products and drive more impact within their organizations. While AI has given all PMs a level playing field, you need to know the right tools and when/how to use them to take advantage. In this 3-week course, I will teach introduce you to AI-based tools and workflows to master product analytics in your day-to-day work and get ahead. WHAT YOU CAN EXPECTThis is a tactical course that will equip you with the tools, frameworks, and prompts you can apply immediately in your job. By the end, you'll be empowered to perform 80% of your product analytics independently via AI-assisted analytics – so you can move faster and make data-driven decisions without the help of a dedicated data scientist. WHY LEARN FROM MEI bring 15 years of experience working in data and AI as a founder, data leader, and product manager at high-growth technology companies like Lyft and Stripe. As a product manager leading the development of data and AI products at Stripe, I stay on the bleeding edge of new AI tools in a rapidly changing environment. I will share with you insights and tips you won't find elsewhere, and each cohort of this course will learn the latest AI tools and techniques as soon as they become available. COURSE OVERVIEWThe course covers the core analytics tasks product managers face with in their day-to-day jobs. For each of the tasks, I will teach you the foundational knowledge, the right AI tools to do the job, and the techniques to achieve optimal results: Week 1: Product Metrics• Define product metrics using custom prompts paired with LLMs like ChatGPT and Claude.• Design, validate, and visualize data schemas and events with LLMs and prototyping tools like v0 and Bolt. Week 2: Data Analysis• Calculate product metrics with natural language and simple retrieval-augmented-generation (RAG)• Write, troubleshoot more accurate SQL queries with natural language and custom business context techniques• Perform common analysis tasks like cohort analysis, funnel analysis, customer segmentation, forecasting, and root-cause analysis using Claude and MCP servers. Week 3: Data Storytelling• Create data-driven slides with Google Slides and MCP• Build and update growth models for your product with Claude and Google Sheets• Automate business and growth updates with ChatGPT and Claude and custom prompts. Each week covers a single module that contains: • Recorded video content that you can watch on your own schedule.• Supplemental resources to help you learn and go deeper.• Live workshop dedicated to case studies and group discussion• HW assignment that helps you practice the skills you learn at home.• Optional AMA / office hours where I answer questions and provide HW feedback. WHO WILL BENEFIT MOST FROM THIS COURSE• Product managers who want to become "super ICs" by learning the latest AI tools and staying ahead of the curve.• Product managers who want to become data-driven product leaders at their companies.• Product managers, founders, and business leaders who want to use AI to save time or become self-sufficient with data. WHO THIS IS NOT FOR• This course is not for you if you're not interested in doing some hands-on work. You will be experimenting with AI tools and data.• This course is not designed for experienced data analysts or scientists. We won't get into advanced technical topics.• This is not for you if you work at a company that's pre-PMF or where data doesn't play a big part in product development (e.g. non-software). Most of the tools and content we cover won't be applicable to you.

Accelerate your analytics workflows with AI

Course syllabus

Live course instruction over 2 weekends. Each 3 hour session corresponds to a module.

Saturdays and Sundays

We will have 4 take-home mini-projects that give you an opportunity to apply the learnings and frameworks from the modules.

Hands-on projects

Each week I will host office hours to answer questions and topics from the course.

Office hours (optional)

Course schedule

Product managers who want to become "super ICs" by learning the latest AI tools and staying ahead of the curve.

Product managers who want to grow into data-driven product leaders at their companies.

Product managers, founders, and business leaders who want to use AI to save time or become self-sufficient with data.

Who is this course for

What you’ll get out of this course

<ul><li>Understand the different kinds of AI tools (LLMs, reasoning models), techniques (RAG, context windows), and how/when to use them</li><li>What MCP is and how you can use it for data analysis</li><li>Gain insight into broader industry trends with AI for analytics</li></ul>

Mastery of AI fundamentals

<ul><li>Frameworks for defining product metrics and data schemas</li><li>Overview of analysis techniques and when to apply them</li><li>Best practices and principles for building growth models, performing business diagnostics</li></ul>

Fundamentals of product analytics

<ul><li>Learn how to apply AI tools to product metrics, data analysis, and data storytelling tasks through examples and exercises.</li><li>Get access to custom prompts, workflows, and tactics you can apply immediately to your own datasets and day-to-day work.</li></ul>

AI tools for product analytics

<ul><li>Take-home homework exercises that help you practice using the AI tools on your own data, that I review and provide feedback on.</li></ul>

Hands-on assignments

<ul><li>Live discussions and case studies to learn from real examples</li><li>Collaborate and learn AI tools in a group setting with other students</li></ul>

Interactive workshops

<ul><li>I'll be available during office hours, via email, and during live sessions and throughout the course to answer questions and provide personalized guidance and career advice.</li></ul>

1:1 support from George

AI product testing: find and fix bugs with synthetic users

Previously AI and Data Product Manager at Stripe, Head of Analytics at Lyft

Set up personas, scenarios, and run parameters in Claude Code so AI agents drive your product like real users.

Configure AI synthetic users to stress-test any product

Launch browser-based agents that surface UX bugs, broken flows, and persona-specific friction in under five minutes.

Run 30 parallel AI users and triage what they find

Jump from a flagged issue into Session Replay to see the exact failure, then ship a fix and verify with a re-run.

Replay failed sessions in Amplitude and fix bugs live

AI-powered Data Analysis with Claude and MCP

Product Lead for Data Products at Stripe, former Head of Analytics at Lyft.

Learn the fastest way to do analytics on your data.

Easy, interactive data analysis in minutes

Set up Claude for data analysis using Model Context Protocol (MCP)

Connect to data sources with MCP

Use Claude to explore, visualize, and analyze your data with natural language.

Data exploration with Claude

Mastering text-to-SQL: how to generate accurate queries

Provide LLMs with relevant context, without requiring engineers or a complex system.

Learn directly from George Xing

George Xing

Courses

AI-Powered Product Analytics

Lightning Lessons

AI product testing: find and fix bugs with synthetic users

AI-powered Data Analysis with Claude and MCP

Mastering text-to-SQL: how to generate accurate queries

Build dashboards that drive alignment and action