The best product managers 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 EXPECT

This 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 ME

I 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 OVERVIEW

The 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.