Product-with-Pri Coaching Academy

3 Mistakes blocking you in AI Product Sense Interviews

Salesforce

ServiceNow

Coach Pri (Priyanka Upadhyay)

Founder, Product-with-Pri | Product Leader (B2B SaaS) | Ex-PM Coach, Stanford

Learn the patterns that often weaken otherwise strong answers, so you can avoid sounding too generic or too technical.

Become aware of the most common mistakes in AI Product Sense

Get clarity on the skills and judgment interviewers are assessing

Understand what interviewers are really looking for

Walk away with a few simple ways to approach AI product sense questions so you can be more thoughtful and confident

Leave with practical strategies to avoid these mistakes

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

March 2026

Former Product Manager at Meta

Attentive

Life360

Abstract

Ben Erez

Former Product Manager at Meta


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 to think, decide, and communicate like an AI PM — turning interviews into proof of real product judgment.

GenAI Product Builder @Google, ex-Meta

Dr. Marily Nika

AI Product Lead @ Google, ex-Meta, Harvard Business School Fellow

February 2026

April 2026

AI PM interviews have quietly changed — and many strong PMs are failing them for reasons that have nothing to do with intelligence or experience.Candidates are no longer evaluated on clean frameworks alone. Interviewers are looking for AI product judgment: how you reason under uncertainty, make tradeoffs, think about failure modes, evaluation, and explain why a decision makes sense in an AI context. Most PMs were never trained to articulate this — even if they already work with AI.This course exists to close that gap.You’ll practice real AI product sense, metrics and execution scenarios and get 1-1 coaching from experienced Silicon Valley AI product leaders — it’s about developing judgment and being able to prove it.If you’ve ever left an interview feeling like “they didn’t quite see how I think,” this lab is designed for you. By the end, you’ll have sharper AI product intuition, a concrete product story you can reference, and the confidence to defend your decisions in high-stakes AI PM interviews.

Build real AI product sense & judgment — and prove it in AI PM interviews

Develop real AI product judgment

Master AI product sense interviews

Get personalized, 1-1 expert coaching [included]

Lead AI execution & metrics conversations

PMs transitioning into AI roles who want to think and interview like AI-native product leaders.

Senior PMs who work with AI and want to prove their judgment in high-stakes interviews.

Product managers tired of generic AI prep who want interview-ready AI product sense.

You'll learn skills that have helped >1000 of Shreyas' students build successful products, craft compelling strategies, get hired/promoted.

Advisor to founders. Product builder.

Stripe

Google

Anthropic

Riverside.FM

Shreyas Doshi

Built successful products at Stripe, Twitter, Google. Advisor to founders & CEOs

January 2026

May 2026

Product Sense is the ability to usually make correct product decisions, both macro &amp; micro, even in the face of major ambiguity.A common misconception regarding Product Sense is that it is something you either have or you don't.In reality, you can significantly improve your Product Sense by understanding and practicing a number of principles of human motivation, behavior, and creativity.People who level up on their Product Sense tend to build more successful products, features, and teams. This in turn helps them substantially grow their impact, scope, and lifetime income.<a target="_blank" rel="noopener noreferrer nofollow" href="https://testimonial.to/shreyas-improving-your-product-sense-course/all">Product Sense is a skill and thousands of highly talented &amp; accomplished product people have leveled up greatly on this skill by taking this course</a><ul><li>70% of students, after they see the magic of this course, wish they had enrolled for the course much earlier than they did</li><li>Hundreds of product-focused founders and CEOs have taken this course. Many CEOs have sent their entire company to this course after taking it themselves</li><li>40% of students who take the course first heard about it from a friend or colleague who took it</li></ul>In the AI age, nothing matters more than Product Sense. Learn it. Sharpen it. Master it. Apply it &amp; win.

Product Sense is the main skill that matters in the AI age for product builders.

What makes users choose your product, what gets in the way, what nudges work

How to conceive correct & compelling ideas for your product strategy and plans

How to do correct Positioning & Segmentation for your product and communicate it

Build better Taste & convey your Taste in ways that is actionable for your team

20 specific Product Creativity Techniques to build better products & experiences

You will develop skills for everything above in ways you can immediately apply

Folks who are are involved in content creation, coaching, teaching, or other such side hustles should not enroll. We seek 110% product focus

This course is NOT FOR everyone

It is almost certainly the most advanced product course out there, suited for founders & advanced career folks in PM, Design, Eng, Data, etc

This IS NOT a beginner or intermediate level course

If yes, it will likely be transformative. But it IS NOT for folks who like to outsource their thinking to others and just follow directions

It is FOR YOU if you like to think for yourself and truly want to win

Product-focused startup founders &amp; CEOs who want to improve their ability to make more correct product decisions. Pre-PMF &amp; just post-PMF.

Talented Product Managers, Designers, Engineers, Data Scientists, Ops/Mktg folks who want to take their Product Sense to the next level.

Senior product leaders across PM, Design, Analytics, Eng, Ops, Mktg, etc. Many product team leaders (P-D-E) also take this course together.

How to think through AI problems end-to-end: scoping, debugging, and knowing when to pivot.

Pilot Cohort

ML Engineer with 10+ years of experience

Hugging Face

DataRobot

Contextual AI

Snowflake

Snorkel AI

Rajiv Shah

Enterprise AI veteran: Shipping AI to production, with clarity and humor

Summer 2026

AI Problem Framing is to AI teams what System Design is to software engineers and Product Sense is to PMs. Whether you're building, evaluating, or leading AI work, this is the foundational thinking skill that separates results from rework.--🚨 Summer cohort: June 2 – June 26 🚨Winter Cohort is running in Feb/March---What you get:🔄 The Loop, a 5-step framework you'll use to think through every AI project🧑‍🏫 Live sessions and office hours where you can bring your real problems📊 Access to 200+ case studies, the largest collection of AI reframing examples📋 Production-ready checklists for RAG, Forecasting, GenAI🎥 Lifetime access to all recordings---This course is for you if:• Your AI works in demos but fails in production• You've spent months on a model only to realize you solved the wrong problem• You lead AI work but came from engineering, product, or PMYou'll learn from 200+ AI failures in 4 weeks. You gain years of experience and recognize the scars.

Most AI fails from bad framing, not bad models. Learn to fix that.

Frame AI problems right the first time

Diagnose what's actually broken

Own the problem, not just the solution

Steer your team past expensive mistakes

We focus on framing and strategy, not explaining what models or training means. Basic vocabulary lets us go deeper faster.

You understand what AI/ML is at a conceptual level

Real experience gives you context. The frameworks click when you can map them to projects you've actually built or managed.

You've worked on or led AI projects in some capacity

This is about decision-making, not implementation. You'll learn what to build and why, not how to code it.

No coding during the course; frameworks for thinking, not tutorials

Engineers who can build AI but want to master outcome engineering: knowing what to build, not just how

Building RAG, agents, or ML models? Let's get your demos into production! Learn the thinking that makes the difference.

Managers who need to evaluate AI/ML proposals, set realistic milestones, and know when to escalate