Tom Leung

Our goal is to get a lot of hands-on practice with pre-work for each session. We will do lots of in-class examples and workshopping together. This is the approach I've used for the last 20 years leveling up my own PM teams and as a 5-star Google PM coach, a large percentage of whom were able to be promoted and some whom are now VP's, directors and GPM's. You will be working and leaning in and getting cold called a lot during class :-) Class 1: Sit in the seat of an exec product reviewer. Class 2: Practice honing your summarization and story arc skills. Class 3: Build slides that get you to yes. Class 4: How to manage the actual review room, discussion, and navigate landmines. *Every class will end with a 20 minute AMA with Tom to dig into specific nuances you need more guidance on or to share specific challenges you're facing for a review coming up or that just happened at work.

Learn by doing

Provide a brief description for each module as a way to sell the value of what students will be learning throughout the course.

First Module

Second Module

Third Module

Course syllabus

Four weekly sessions for 90 minutes

Pre-work should be submitted on the Thursday night in advance of each week's Sunday class.

Weekly projects

Course schedule

You're an APM up to L5 PM and are expecting to do more product reviews. You want to be ready for the challenge.

You've gotten perf feedback that your product reviews are not landing despite a lot of preparation.

Your organization has new leadership and they're telling the org they want to uplevel their product management excellence.

You love product reviews and want to become a master at them.

Who is this course for

What you’ll get out of this course

Review why execs want product reviews, the different types, and common traits of successful vs unsuccessful ones. Students will play the role of product reviewer and Tom will present to you so you can assess, discuss, and see the review from the pov of the Directors and VP's.

Frame your review so you win early

Using a case study you'll have read in advance of class, you'll work on a one slide exec summary and then we'll share, critique, and discuss as a small group. The goal here is to strengthen your ability to distill key information and themes in a logical, crisp, and persuasive way

Nail the exec summary so your storyline is crisp and lands

Hone the art and science of going the next level deeper in detail, ensuring a deck flows, and we're framing the problem, providing relevant info, mapping out the option space, making a reco, making an ask, etc.

Build the deck to lock in the key discussions and secure the input you need

Develop your voice, handle objections, and manage pacing. We'll have lots of exercises where we practice presenting as well as taking questions, getting interrupted, stumped, and overruled.

Present like a pro so you come across as a Sr IC with GPM potential

Our goal will be for you to have a 10-20% better review after taking this course. We want your manager and skip level to notice that you're more buttoned up, clear headed, and manage the review for improved impact to the business.

Set a new high-water mark for your next review

Get expert-led, intensive PM practice & feedback on framing, communicating, and landing successful product reviews.

May 2024

April 2024 Cohort

June 2024

In this course, we will as a group, unpack 4 tech strategy HBS case studies with major AI elements (ML, Gen AI, LLM's) and learn about key business frameworks and lenses to solve business problems in general. In my time at Harvard, we did almost 1,000 case analyses. You will get experience opening a business case, analyzing the business and an industry, analyzing business data and information, assessing the decisions facing the CEO of an AI impacted business, evaluate strategic options and tradeoffs, and analyze and debate these topics with a graduate school level of rigor. We'll dig into answering questions like: 1. How are the industry specific forces going to change, evolve, or remain constant because of AI? 2. What strategic options are available to the protagonist companies? How should we pick a path forward? 3. What are the key metrics and data driven evidence we can use to inform our decisions and evaluate our AI-aware strategy?

Unpack AI business strategy through four recent Harvard Business School cases

Sundays

1 hour to read and prepare the case, 1 hour to discuss with your study group prior to Sunday's class discussion.

May 5, 2024

May 12, 2024

May 19, 2024

May 26, 2024

Product managers, marketers, salespeople who want to broaden their skill set and understand the strategy of AI.

Professionals who work with business and strategy teams and required to successfully harness AI for their planning.

Product Managers who want to be more successful writing up annual planning proposals especially if they will be asked about AI implications.

Understand the unique considerations for AI-first product decisions.

Strategy meets AI

Get practice understanding and unpacking an industry structure and company's business model and business performance including the impact of AI.

Business Strategy Assessment

Dig into the financial and business artifacts to get to the essence of a business problem including unique considerations when building AI capabilities.

Business Analysis

Experience what it's like making business decisions and advocating for them in the face of pushback and debate including when AI is introducing new tradeoffs.

Management Discussions

Cases will be featuring current tech companies facing real challenges and AI opportunities relevant for today.

Tech Industry Insights

For tech industry professionals who want to navigate how AI is impacting their company and product strategy. Small cohort (capped at 8).

Tom Leung

High-Impact Product Reviews for IC Product Managers

High-Impact Product Reviews for IC Product Managers

High-Impact Product Reviews for IC Product Managers

High-Impact Product Reviews for IC Product Managers

Business Strategy in an AI-first World

Business Strategy in an AI-first World

Business Strategy in an AI-first World

Business Strategy in an AI-first World

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