PM Interview Preparation Plan
(8-Week Schedule)
Week-by-week PM interview prep — what to study, how to practice, and how to know you're ready for Google, Flipkart, Razorpay, and top startups.
Start Your Prep Plan Today — Free →Foundation & Self-Assessment
Understand the PM interview landscape for your target companies. Audit your current strengths and gaps.
- ☐List your 5 target companies and research each interview format
- ☐Write 3 career stories (impact you drove, failure you learned from, cross-functional challenge)
- ☐Audit: rate yourself 1–5 on product sense, metrics, strategy, behavioural, technical
- ☐Set up a practice log (notion/sheets) to track questions attempted and scores
📚 Resource: Research target companies' interview formats on Glassdoor and company blogs
Product Sense & User Empathy
Build the habit of structured product thinking. Practice the user → need → solution → metric chain.
- ☐Do 1 product teardown per day (5 total): pick apps you use and document user segments, pain points, recommendations
- ☐Practice 3 'improve a product' questions out loud, record yourself
- ☐Learn JTBD (Jobs To Be Done) framework and practice writing job statements
- ☐Read: 3 PM teardowns from notable product thinkers
📚 Resource: Products to tear down: Swiggy, GPay, LinkedIn, Zepto, any app you use daily
Metrics & Data Interpretation
Build fluency in defining, reading, and diagnosing product metrics.
- ☐Learn the 5 core PM metrics: retention, activation, engagement, monetisation, referral (AARRR)
- ☐Practice 10 'metric drop' scenarios — diagnose the cause and propose a fix
- ☐Learn basic funnel analysis: draw the customer journey for 3 different apps
- ☐Understand A/B testing: hypothesis, control vs treatment, statistical significance
📚 Resource: Amplitude's PM analytics blog and Reforge growth metrics resources
Product Strategy & Market Thinking
Think at the business and market level — not just the feature level.
- ☐Practice 3 'should Company X enter Market Y' questions using TAM/SAM/SOM + capability analysis
- ☐Study competitive strategy: moats, network effects, switching costs
- ☐Practice OKR writing: write Q3 OKRs for 2 product areas you know
- ☐Research your target companies' strategy — what are their bets for the next 2 years?
📚 Resource: Stratechery, Product School strategy essays, annual reports for listed companies
Behavioural & STAR Stories
Build a story bank of 8–10 rich behavioural stories that flex across question types.
- ☐Write STAR stories for: leadership, failure, conflict, ambiguity, data decision, cross-functional, stakeholder pushback
- ☐Practice each story out loud — time to 2–3 minutes
- ☐Identify 2 stories that can flex across 3+ question types
- ☐For Google/Amazon: map each story to 3 Leadership Principles
📚 Resource: Record voice memos of each story and listen back — is the Action section 60% of the answer?
Technical Fluency
Build credibility with engineering — not coding skill.
- ☐Learn: REST APIs, HTTP status codes (200/400/500), what rate limiting means
- ☐Learn: relational vs NoSQL databases, what an index does, basic SQL (SELECT, WHERE, JOIN)
- ☐Practice explaining technical concepts to non-technical stakeholders
- ☐Write a basic SQL query to find users who signed up but never completed action X
📚 Resource: Mode Analytics SQL tutorial, 'Cracking the PM Interview' technical chapter
Mock Interviews
Simulate real interview conditions. Identify gaps from feedback.
- ☐Do 2 mock interviews with a peer or mentor (1 product sense, 1 behavioural)
- ☐Do 2 solo mock interviews on video — watch them back critically
- ☐Identify your 3 biggest weaknesses from mock feedback
- ☐Do targeted practice on weakness areas only — no broad revision
📚 Resource: Pramp, IGotAnOffer PM practice, or PM Streak's AI practice questions
Company-Specific Prep & Polish
Customise your prep for each company's specific format, culture, and product areas.
- ☐For each target company: know their north star metric, key products, recent strategic bets
- ☐Prepare a company-specific 'why us?' answer that references a real product challenge you'd want to solve
- ☐Final mock interview with realistic timing and no notes
- ☐Review your story bank one final time — can you deliver each in under 3 minutes cold?
📚 Resource: Company engineering/product blogs, Glassdoor interview reports from the last 6 months
Interview Readiness Checklist
If you can honestly check all 8, you're ready to interview.
I can structure any product improvement question in under 60 seconds
I have 8+ STAR stories ready and can deliver each in 2–3 minutes
I can diagnose a metric drop across 5+ different failure modes
I know my target companies' north star metrics and key strategic bets
I can explain APIs, databases, and A/B testing to a non-technical person
I have a company-specific 'why here?' answer for each target
I've done at least 4 live mock interviews with feedback
I can answer 'walk me through your background' in exactly 2 minutes
FAQ
How many hours per week does PM interview prep actually require?
8–10 hours/week for 8 weeks is the realistic commitment for a competitive outcome at top companies. You can compress to 4 weeks at 15+ hours/week but the quality of story preparation suffers. Consistent daily practice (even 45 minutes) builds muscle memory that cramming doesn't.
Should I prepare differently for each company?
Core PM skills are transferable — product sense, metrics, and behavioural preparation carries across all interviews. The company-specific layer (weeks 7–8) should include: their interview format, their product ecosystem, their culture values, and a specific product challenge you'd want to tackle. This takes 2–3 hours per company and meaningfully increases your conversion rate.
What's the biggest preparation mistake candidates make?
Over-indexing on memorising frameworks and under-indexing on speaking out loud. Reading about RICE is not the same as being able to apply RICE fluidly in a 30-minute interview. Every framework you learn should be practiced out loud on 3 real examples before your interview — not just understood intellectually.
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