Rachel Windzberg

Avoid Analytical Thinking Interview Pitfalls

Instagram

Amazon

Principal Product Manager at Amazon ; Ex Meta; Executive and Career Coach

Understand the motivation for analytical thinking interviews and the questions that prep material doesn't cover

What does the Analytical Thinking interview evaluate?

Identify failure points: spitting out stale frameworks, weakly defined metrics, and hand-wavy trade-offs

What are common pitfalls and how to avoid them?

Learn how to approach and structure your answer under time pressure

How to set yourself up for success

Stick around after the session for 30 minutes Q&A

How to confidently tackle any Product Sense and Analytical question in a Meta-style PM interview through pre-recorded content and 1:1 access

February 2026

Former Product Manager at Meta

Attentive

Life360

Abstract

Ben Erez

Former Product Manager at Meta


Jan - Feb 2026

Feb - March 2026

You landed a PM interview at a company that relies on case-style Product Sense and/or Analytical Thinking screens in their hiring process (e.g. Meta, OpenAI, DoorDash, Stripe).You've never succeeded in these types of interviews, or it's been too many years and you're rusty. You figure you can get ready in 3-4 weeks so you schedule the first round.As the days pass, you realize you have no idea how to actually tackle the questions in <a target="_blank" rel="noopener noreferrer nofollow" href="https://docs.google.com/spreadsheets/d/1rz10oEeLx-eGnilahKczYPhGfCUzIEKL-xRnjoQ-SX4/edit?gid=1024620532#gid=1024620532">Lewis Lin's question bank. </a>You wonder, "What's the fastest way for me to ramp up on these interviews?"I've been in your shoes, taught myself how to ace the interviews and landed a PM role at Meta (back then Facebook).Six years later, Product Sense and Analytical Thinking are two of the most common PM interviews in tech, many top companies inspired by Meta.And these interviews are basically the same as they were in 2020.With AI catalyzing a massive push for senior talent in big tech, IC6+ roles are growing like wildfire with total comp packages from $300k to $1MM+ for elite PM roles at top companies.If you're rusty with case interviews, you need this course (or one like it) to get ready. Otherwise you'll struggle to pass them. It's the truth.

Does this sound familiar?

How to tackle Product Sense questions

How to tackle Analytical Thinking questions

How to set up Ben's AI Copilot and a workflow for unlimited practice reps

Tips from course alumni who landed roles by applying the frameworks

What strong interview performance looks like

↳ You're seeking generic interview prep - this course is specifically designed for Product Sense & Analytical Thinking interviews

Structured PS & AT Interviews

PMs preparing for case-style Product Sense and Analytical Thinking interviews (L5-L9) at companies like Meta, OpenAI, Stripe, DoorDash +

Learn the skills + frameworks you need to ace interviews for senior leadership roles (Engineering Manager, Senior Manager, Team Lead). 

Director of Engineering, Career Coach

Google

Apple

Microsoft

Alex Kliotzkin

Director of Engineering and Career Coach

EM @ Stripe, Ex-Amazon Bar Raiseer

Stripe

Uzair Khan

Engineering Manager at Stripe and ex-Amazon Bar Raiser

Cohort 7

Cohort 8

As an engineer, you’ve mastered the coding challenges, system design, and behavioral interviews. But when it comes to Engineering Manager roles, the interview process is a different beast. You’ve likely hit a frustrating wall—interviews that feel like you’re doing everything right, but still no offer. You might not even know why you’re not breaking through.The truth? Engineering Manager interviews aren’t about discussing your experience—they’re about showcasing leadership, systems, and strategy in a way that resonates with the interviewer. To land the offer, you don't just need the right answers—you need memorable ones.This course is designed to bridge that gap and help you break through to land that Engineering Manager offer. We’ll focus on how to communicate your leadership capabilities, showcase your seniority, avoid red flags, and tailor your answers to what hiring managers are truly looking for. By the end, you’ll know exactly how to approach the interview process and confidently present yourself as the leader you know yourself to be.

Break Through the Interview Process and Land Your Engineering Manager Offer!

You'll experience mock interviews with real-time coaching feedback

You'll understand the exact hiring criteria for Engineering Manager roles

You'll learn how to convince the hiring manager (Director+)

You'll learn how to nail any behavioral question, even ones you haven't seen

You'll know exactly what the interviewer is looking for

You'll learn how to tailor your answers to go from good to memorable

Managers &amp; team leads that are getting interview opportunities but are unable to break through to land offers.

Senior Tech Leaders who have not interviewed for 7+ years and are looking for new roles (Sr. Manager, Director, VP).

Senior Software Engineers in lead roles looking to promote themselves to engineering manager by landing a new job.

Stop executing others' roadmaps. Build strategy executives fund, speak the language of business, and win stakeholder buy-in.

Jan-Feb 2026

VP Product. 300+ PMs Stuck to Strategic

Deloitte

PRGX Global

FinThrive

Healthmine

Brennan Collins

Startup & Enterprise Product Exec. Coached 300+ PMs from Stuck to Strategic

November-December 2025

March 2026

AI can write your PRD in 30 seconds. But it can't figure out which problem to solve, get buy-in from your VP, or connect your feature to revenue targets executives fund.You're competent. You know the fundamentals. But you're stuck in delivery mode, executing roadmaps you didn't create, managing requests you can't push back on, watching less capable PMs get promoted because they learned to speak the language of business.The gap isn't talent. It's significance.You produce work that disappears. You need work that registers as strategically important to people with power. AI won't fix this. It'll just help you execute faster on things nobody notices.This course teaches you both: master the craft that makes you significant, then sharpen the tool that multiplies your impact.In 4 weeks, learn frameworks AI amplifies but can't replace:<ul><li>See how it's done: Live examples showing good → better → best execution</li><li>Practice on your work: Multiple exercises per session, immediate application</li><li>Build then sharpen: Create artifacts Monday-ready, get prompts that 10x them</li><li>Know when AI's enough: High-stakes strategy needs your judgment. Repetitive work doesn't.</li></ul>Stop being invisible. Start being significant.

Master Your Craft First.  Then Let AI Multiply Your Significance as a PM Leader

Think like a business owner, not a delivery manager

Map customer needs to business metrics executives care about

Craft a vision that inspires and a strategy that creates confidence

Transform stakeholder feature demands into defensible strategic moves

Build a Business; Not just a Product

Position yourself for promotion and lead with executive presence

This is not an entry-level course.  These are advanced topics.  See my free content for PM foundations and breaking into product management.

3 to 10 years experience in Product Management

No one-and-done projects here.  You need to have felt the joy and pain of good and bad decisions (yours or someone else's).

Experience shipping multiple iterations of the same product

Not just your salary (but that comes with it)... You don’t need to be a Director of PM yet, but you should want to become one.

An intrinsic desire to grow your responsibility & challenges

Mid-career PMs stuck in delivery mode who want to think more strategically and earn a seat at the decision-making table.

Experienced product managers who want to speak the language of business and defend their roadmap with metrics executives respect.

PMs ready for promotion or exploring product leadership who want to operate like strategic leaders, not order-takers.

Acquire and develop a critical skill for product managers who are leading and contributing to AI products.

February 2026 (please delete)

Feb 2026

GenAI Product Builder @ Google, ex-Meta

Marily Nika, Ph.D AI/ML

Product Manager AI&ML @ Google

Diego Granados

Senior Data, ML and GenAI Scientist

SHI International

National Association of REALTORS

George Zoto

Senior NLP/AI Scientist

December 2025

Cohort 4

“Does it work?”... “Is it good enough?”... “Can we ship it?”...How do you answer these questions for AI products? You’re responsible for “running evals” but what does that mean?How do you choose the right metrics, interpret fuzzy results, and make a confident decision?This course gives you a framework to do just that.<ul><li>Map user value to evaluation (eval) objectives so your metrics aren’t abstract. Define success then translate it into measurable criteria.</li><li>Choose metrics you can actually maintain: capability, safety, UX friction, latency, cost and “does this reduce support tickets or increase activation.”</li><li>Set ship/no-ship thresholds you can defend to leadership.</li><li>Build lightweight workflows that work in real teams: human review where it matters, automation where it lasts, documentation that drives decisions.</li><li>Consider domain constraints (e.g., healthcare safety) and know what to avoid: silent failures, misleading proxy metrics and tests that don’t reflect production.</li><li>Tie everything to ROI: impact vs unit cost, eval coverage vs reliability, and the minimum viable monitoring you need post-launch.</li></ul>Experience AI evals through a case-based approach with a real AI product that we evaluate together.

Eliminate uncertainty in shipping AI features

Make confident ship or hold decisions for AI features

Translate user value into clear evaluation goals

Choose the right metrics for capability, safety, UX, and cost

Set defensible thresholds leadership will trust

Build lightweight evaluation workflows teams can maintain

Navigate domain constraints and avoid common failures

PMs leading AI features, growth, or platform initiatives

PMs who partner with ML teams and want to set evaluation standards

PMs who need to make clear “ship or hold” calls without doing the engineering