Land your next PM role.
A structured 90-day prep plan covering every PM interview question type, with 96+ practice prompts, mock-interview resources, and the books that actually move your readiness.
90 days from prep to offer
Four phases. Each phase has a goal, specific activities, and measurable outputs. Skip phases at your own risk — they build on each other.
Diagnose
Establish a baseline. Find the 2-3 question types where you're weakest.
- →Take one practice prompt for each question type — 30 min each, written out.
- →Score yourself honestly against the model answer in this curriculum or in Decode and Conquer.
- →Pick your bottom 2-3 question types — these get over-indexed attention next.
- →Calibrate target companies and levels. Read Google / Meta / Stripe interview guides.
- ✓Personal weakness map (which question types are weakest)
- ✓Target list: 20-50 companies, sorted by fit
- ✓Calibrated level expectations (PM vs Senior PM vs GPM)
Foundation
Internalize the framework for each question type. Volume of low-pressure reps.
- →Pick a question type per week. Read the canonical framework chapter (Decode and Conquer, this site).
- →Do 15-20 prompts per type — outline structure only, not full answers. Speed > depth in this phase.
- →Read 2-3 books in parallel: Inspired, Continuous Discovery Habits, Cracking the PM Interview.
- →Build your STAR story bank: 8-10 well-crafted stories covering the behavioral dimensions.
- →Update LinkedIn and start applying for warm-up interviews (companies you don't strictly want).
- ✓Outlined answers for 100+ prompts across all question types
- ✓Story bank of 8-10 STAR stories
- ✓Updated resume + portfolio
- ✓5-10 first-round interviews completed as practice
Depth
Full timed answers. Mock interviews. Apply to real targets.
- →Do 5-10 timed full answers per question type per week.
- →Mock interview once per week minimum — Exponent, peer Discord, or paid coach.
- →Apply to your real target companies. Aim for 5-10 first-round interviews per month.
- →Research each company deeply before the interview: recent launches, strategy, hiring manager's background.
- →After every interview, write a 20-minute retro: what worked, what didn't, what to fix.
- ✓5+ mock interviews completed
- ✓10+ live first-round interviews
- ✓Calibrated answer quality (you can deliver a strong answer cold)
Polish & Land
Final tightening. Onsite loops. Negotiation.
- →Run final mocks focused on your remaining weak areas.
- →Prep deeply for each onsite loop: company-specific questions, hiring manager research.
- →Practice negotiation scripts (Voss-style) for offer conversations.
- →Build the 'why this company' answer for each target company.
- →Practice the presentation round if you have one (Meta, some Google teams).
- ✓Onsite loops at 3-5 companies
- ✓1-3 offers
- ✓Negotiated comp
The nine interview question types
Every PM loop pulls from these nine. Each has its own framework. Pick a type, click in for the full concept page with model answers.
'Design a product for X' or 'Improve X.' Tests product judgment.
'How would you ship X?' Tests project sense, trade-offs, communication.
'Should X do Y?' Tests business judgment and competitive thinking.
'What metric for X?' or 'Diagnose this anomaly.' Tests data fluency.
'How many X per year?' Tests structured thinking under uncertainty.
'Tell me about a time...' Tests leadership, growth, culture fit.
Open-ended business cases. Tests structured ambiguity handling.
'Design a system that does X.' Tests architectural awareness.
'Design an AI feature for X.' Tests AI-specific judgment.
Drill library (96 prompts)
Practice prompts across every question type. Pick a prompt, set a timer (15-20 min for product sense / execution, 10 min for estimation), and write the answer. Then check against the model answer linked from each concept page.
Design a product for blind people to navigate the subway.
See framework & model answer →Design an alarm clock for the deaf.
Improve Instagram for users over 65.
Design a fridge for college students.
Design a product for new parents in the first 30 days.
Improve Slack for remote teams across timezones.
Design a product to help people overcome loneliness.
Improve YouTube's home page for kids.
Design a feature for LinkedIn to help recent graduates find their first job.
Design a product for refugees relocating to a new country.
Improve the Uber driver app for new drivers in their first week.
Design a meditation app for people with ADHD.
Improve Zoom for hybrid (in-person + remote) meetings.
Design a product for amateur athletes training for a first marathon.
How would you launch a paid tier for a previously-free product?
See framework & model answer →You inherit a team with no roadmap. Walk me through your first 90 days.
See framework & model answer →A new competitor just launched a feature you don't have. What do you do?
Your team has 8 weeks to ship a major redesign. Walk me through the plan.
Your feature has 5% adoption after launch. How do you turn it around?
Sales is escalating for a feature for one $5M deal. How do you handle it?
Engineering tells you the timeline doubled. What's your move?
How would you roll out a major UI change to 50M users without breaking trust?
You discover post-launch your feature is hurting another team's metric. What do you do?
Walk me through the launch of a new product line for an existing customer base.
Should Spotify build a hardware speaker?
Should Stripe enter the SMB banking market?
Should Microsoft build its own AI search engine to compete with Google?
Should Tesla offer an EV at $25K?
Should Airbnb enter the hotel category directly?
Should Notion build its own AI model?
Should Cursor expand from coding to a general productivity AI?
Should LinkedIn launch a Twitter/X competitor?
Should DoorDash launch a grocery vertical with its own dark stores?
DAU on our app dropped 8% last Tuesday. Walk me through your diagnostic.
See framework & model answer →Define a North Star metric for Spotify.
Engagement is up 15%, revenue is flat. What's happening?
Activation rate dropped 5% over the last month. Diagnose.
How would you measure success of an AI summarization feature?
Checkout conversion fell 8% on Tuesday. Walk me through.
How do you measure the success of Google Search?
Our weekly active users went up, but D30 retention went down. What's going on?
Define metrics for a B2B SaaS company's expansion revenue.
NPS dropped from 45 to 32. Diagnose and propose a fix.
Define a metric for Zoom that's not minutes-on-call.
How many golf balls fit in a Boeing 747?
How many gas stations are in the US?
How many people are using their phones right now globally?
Average annual revenue of a single Starbucks store?
How many windows are in New York City?
How many tennis balls are produced globally each year?
Estimate the global pet food market.
How many pizzas are delivered in the US per day?
Annual revenue of the global vacation rental market?
How many GPUs would Google need to run search if it used GPT-style inference for every query?
How many minutes of YouTube video are uploaded per day?
Estimate the total monthly cost of OpenAI's inference for ChatGPT free users.
How many Uber rides happen in San Francisco on a typical Friday night?
How many people work in customer service globally?
Tell me about a time you led without authority.
Tell me about a time you missed a deadline. What happened?
Walk me through a hard decision you made with incomplete data.
Tell me about a time you had to deliver bad news to a senior leader.
Tell me about a time you had to say no to a major customer or stakeholder.
Tell me about a time you killed a project you had been working on for months.
Tell me about a time you mentored or coached someone.
Walk me through your most ambiguous project. How did you bring clarity?
Our new feature has 4% adoption 6 weeks after launch. Walk me through the analysis.
See framework & model answer →A key enterprise customer is threatening to leave. What do you do?
We're considering acquiring a competitor for $100M. Walk me through the analysis.
Should we shut down our struggling consumer app to focus on B2B?
Our pricing model is per-seat. Should we move to usage-based?
We have $20M to invest in growth this year. Where should it go?
Our churn rate doubled in Q3. Diagnose and recommend.
We're launching in India. Walk me through the localization strategy.
Design a notification system for a social network.
Design a real-time chat system for 100M users.
Design a video streaming service.
Design a recommendation engine for an e-commerce site.
Design an API rate-limiting system.
Design a system for processing 10M payments per day reliably.
Design a global content delivery network from scratch.
Design an AI feature for a CRM. Walk me through model, prompt, evals, failure-mode UX, cost.
See framework & model answer →Design an AI customer support agent.
Our AI feature is hallucinating in production. Fix it without retraining.
Design an AI-assisted PRD writing feature.
How would you build evals for an AI summarization feature?
We're a thin GPT wrapper today. How do we build defensibility?
Design an AI agent that books meetings on a user's behalf.
Our AI feature costs $1/user/day. We need to get to $0.10. What levers do you have?
Where to find mock interviewers
The single highest-leverage prep activity is mock interviews. Aim for one per week starting in Week 3.
PM mock interview platform with coaches from FAANG. Paid.
Free peer mock interview platform. Practice with other candidates.
AI mock interviewer + curated PM interview content.
Company-specific PM interview courses (Google, Meta, etc.).
1:1 coaching from the author of Decode and Conquer.
Curated PM job postings from product-led companies.
Books for interview prep
The 5 books specifically focused on PM interviews. Read all of these if you're targeting top roles.
The original PM interview bible. Dated in spots, still required reading for every loop.
The first widely circulated playbook for PM interviews — gave the world the CIRCLES Method for product design questions and the AARM framework for metrics.
Lewis Lin's follow-up to Decode and Conquer — a question bank of 167 real PM interview questions with full worked answers across every PM question type.
The case-style prep book aimed at PM, business operations, and strategy hires at tech companies — fills the gap between consulting case books and pure PM interview prep.
McDowell's broader companion to Cracking the Coding Interview — covers PM, engineering, design, marketing, and ops careers at major tech companies, with comprehensive guidance on resumes, interviews, and career paths.