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Anuj Rathi (Swiggy, Jupiter Money, Flipkart)07 December 2023

The full-stack PM

8Frameworks
14Insights

Frameworks in this episode

Leadership4 steps

Can't Do / Won't Do / Not Set Up To Do

Three reasons things don't happen — and 70-80% of the time it's the third one, which is yours.

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Mindset4 steps

Excellence Over Speed (The Thought-Experiment Filter)

If you must choose, choose excellence — and kill most experiments before they ever go live.

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Strategy6 steps

Multi-Sided Marketplace Operating Rules

In a three-sided marketplace, OKRs and A/B tests break — establish stability, name your primary customer, then bet.

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Communication5 steps

Show Don't Tell (The Wall)

Lay out the entire user journey — pixel by pixel, minute by minute — on one physical wall.

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Strategy5 steps

The 4B Framework (100 Focus Points)

Split 100 focus points across Brilliant Basics, Bread and Butter, Big Bets and Breaking Bad.

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Self-Mastery4 steps

The Full-Stack PM Triad: Sharpness, Drive, Influence

Raw sharpness you can build, drive you can barely coach, influence is non-negotiable.

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Marketing4 steps

The Lazy, Vain, Selfish User Lens

Design acquisition and onboarding for a user who is lazy, vain and selfish — not for your loyal fans.

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Strategy5 steps

Three Divergent PRFAQs (The Power of Three)

Write three fully-thought-through, divergent press releases — then recommend one.

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Insights & moments

The myth-busts, hot takes, explainers, and tools worth keeping.

Hot Take· 4

Hot Take22:30

PMs Are in the Business of Influence

Anuj argues a product manager's core job is influence, not features: influencing users to change behavior, engineers to build fast, and leadership to sign off. Extending that skill externally to users makes the PM a 'full stack influencer' who has to think like sales, marketing and an influencer.

  • PMs constantly influence users, engineers and leadership just to ship
  • Influence must extend externally to the user, not just internally
  • A full-stack PM thinks like sales, marketing and an influencer
  • Being good at influence is one of the most important PM skills

“we are in the business of influence”

Anuj Rathi · 23:00

“and so you are a full stack influencer and not only an external influencer so you got to think like more like sales more like…”

Anuj Rathi · 23:30
#influence#product-management#leadership
Hot Take49:00

Think More and Ship Better, Not Faster

A contrarian opinion: when forced to choose between shipping faster and shipping better, Anuj chooses excellence. He argues most experiments should be thought experiments that never go live because smart 'meta thinking' can predict they'll fail, saving the company time. Speed and excellence are separate axes, and if you must pick one, pick excellence.

  • Given a choice, think more and ship better rather than faster
  • Most experiments should be thought experiments and never run
  • Smart meta-thinking can kill obviously-failing experiments before launch
  • Speed and excellence are two axes; ideally be good at both, but choose excellence

“most experiments should be thought experiments they should not even be tried out because they're obviously going to fail”

Anuj Rathi · 49:30

“if you had to choose one choose Excellence”

Anuj Rathi · 50:00
#contrarian#experimentation#quality
Hot Take50:00

Most Product Managers Shouldn't Be PMs

Anuj's bluntest contrarian take: many product managers shouldn't be product managers and should question whether it's the right field for them. Lots of people entered from other areas without realizing what it takes, and while you can coach yourself up, being in the wrong role can make you miserable.

  • Many PMs entered from other fields without realizing the demands of the role
  • You can coach yourself upward, but the wrong fit is genuinely miserable
  • Worth honestly asking whether product is the right field for you

“most product managers should not even be product managers they should think a little bit more around whether this is actually the right field for…”

Anuj Rathi · 50:00
#contrarian#career#product-management
Hot Take56:00

There's No AI Without HI (Human Intelligence)

Anuj warns that many teams get over-excited about AI and force-fit it as a solution looking for a problem. Citing the term 'HI' (human intelligence), he argues AI has to be balanced with great UX and behavioral science; without human intelligence you won't get artificial intelligence to help the company.

  • Many teams treat AI as a solution hunting for a problem and force-fit it
  • AI must be paired with great UX and behavioral science to get the best outcome
  • Human intelligence (HI) is as important as artificial intelligence
  • Exception: fully back-end products with no human intervention

“if you're not humanly intelligent you're not going to be artificially intelligent”

Anuj Rathi · 57:00
#ai#product-strategy#ux

Explainer· 5

Explainer05:30

How Product Management Evolved in India

Anuj explains why modern product management arrived late in India. Until ~2010 the country's engineers mostly built back-office software for American and European customers, so there was no local playbook, no training and no ecosystem for building products for Indian consumers. Leaders coming from FMCG and manufacturing carried a 'request-response' machinery mindset that had to be unlearned before product culture could mature.

  • Pre-2010 Indian tech talent largely built products for foreign customers as back office work
  • No colleges, playbooks or ported Western material fit Indian startups
  • Leaders imported a predictable 'machinery' mentality from FMCG and manufacturing
  • It took multiple waves for leaders to accept software isn't machinery and consumers aren't predictable

“so once these startups started coming in which were thinking about building for the Indian consumers uh I think we we did not really have…”

Anuj Rathi · 06:00

“software is not Machinery uh consumers are not predictable as much as we thought”

Anuj Rathi · 08:00
#india#product-management#history
Explainer10:30

Why India Is Such a Complex Market to Build For

Before talking opportunity, Anuj unpacks India's complexity: 1.4 billion people brought online by cheap smartphones and Jio, plus government rails like UPI digital payments and the India Stack. Extreme linguistic and cultural diversity breaks standard product frameworks, and very low per-capita income means the craft is choosing the small slice of customers who will actually pay.

  • 1.4 billion people came online via cheap smartphones and Jio's low-cost internet
  • UPI and the India Stack digitized payments and identity for the whole population
  • Language and culture change roughly every 15 miles, breaking one-size-fits-all frameworks
  • Per-capita income is ~30x lower than the US, so finding the paying customer is the hard work

“so India has what uh 1.4 billion people so there are three waves really that that happened in India but also in in the globe”

Anuj Rathi · 10:30

“there's this code in India like every 15 miles the language will change and the people and their culture will change”

Anuj Rathi · 12:30
#india#market#payments#monetization
Explainer15:00

Your New User Is Lazy, Vain and Selfish

Anuj shares an insight from Scott Belsky: modern internet consumers are lazy (no time, so blow their mind), vain (don't ask me to change my habit), and selfish (show me what's in it for me). Building your copy, onboarding and first welcome for that skeptical, non-using customer moves product success more than the features you add for loyal users.

  • Teams over-index on loyal users and assume everyone thinks about their product
  • Most target customers don't care and have a habit they won't easily change
  • Copy, onboarding and the first warm welcome matter more than core features for growth
  • Empathizing with a lazy, vain, selfish user is hard but worth it

“so they are lazy they are Vain and they're selfish”

Anuj Rathi · 15:00

“show me what's in it for me and once you start thinking about users in that way”

Anuj Rathi · 15:30
#onboarding#new-users#product-design
Explainer57:30

Why OKRs Break in Three-Sided Marketplaces

Anuj explains that in a three-way marketplace like Swiggy the usual tools fail. OKRs assume you can divide and conquer for one kind of user, but with consumers, restaurants and delivery partners the goals are always in conflict, and the levers aren't independent. He's seen OKRs fail repeatedly here, and finds big bets work much better because everything moves together.

  • OKRs assume one user type you can divide and conquer; three-sided markets break that
  • Consumer, restaurant and delivery-partner goals are perpetually in conflict
  • The levers aren't independent, so modeling outcomes is nearly impossible
  • Big bets work better because they treat the whole system as one moving story

“so I've seen okas F multiple times when you're running this kind of a Marketplace big bets work much better”

Anuj Rathi · 59:30
#marketplaces#okrs#strategy
Explainer1:02:00

Keep the Marketplace Stable, Then Decide Who Comes First

Anuj's rule for marketplaces: first make sure all sides are stable enough that no one leaves, then decide which customer you're truly in service of. Amazon is customer-centric while Alibaba/Taobao build from the sellers' point of view. Swiggy had to sharpen its value from 'customer comes first' to 'consumer comes first' because everyone (including restaurants) is a customer.

  • A marketplace must first be stable so no side goes away
  • Then decide, from company vision, which side you truly serve
  • Amazon is customer-centric; Alibaba/Taobao build from the seller's point of view
  • Swiggy clarified 'customer comes first' to 'consumer comes first' since restaurants are customers too

“you need to be operating in a stable Marketplace so all sides need to be stable enough so that they're not going to go away”

Anuj Rathi · 1:02:30

“their aim in life is to create life-changing experience for 10 million Chinese Sellers and they will create a market Market Place from the point…”

Anuj Rathi · 1:03:00
#marketplaces#strategy#values

Q&A· 1

Q&A1:06:00

His Favorite PM Interview Question

Anuj's go-to interview question asks candidates which products call for speed versus which call for excellence, then digs into concrete examples. He's listening for how they assess risk and how well they've read the market and competition — a candidate who just says 'let's ship and find out' reveals they don't grasp whether the product is even viable or differentiated.

  • The question: which products warrant speed vs which warrant excellence, with concrete examples
  • He listens for the candidate's assessment of risk
  • He checks how well they've assessed the market and competitive products
  • 'Let's ship and find out' signals they don't understand viability or differentiation

“which are the products where you decide speed is more important”

Anuj Rathi · 1:06:00
#hiring#interviewing#product-management

Tool· 1

Tool1:08:00

Rise, the Sleep-Tracking App He Loves

In the lightning round Anuj recommends Rise, a sleep-tracking app, as a recently discovered product he likes. As a self-described half-insomniac he'd long wanted to track and improve his sleep, and after about a week he found it moving into genuinely actionable territory.

  • Rise is a sleep-tracking app he recently started using
  • He's a self-described half-insomniac who wanted to track his sleep
  • About a week in, it was becoming actionable, though too soon to judge sleep gains

“the very recent product that that I like is called rise it's a it's a sleep flacking app and because I am kind of an…”

Anuj Rathi · 1:08:00
#tools#sleep#recommendation

Takeaway· 3

Takeaway19:30

Pick One Hook and Carry It Through the Whole Journey

Rather than reframe onboarding around 'here's everything we do,' Anuj reframed Swiggy around what the user wants and carried a single value prop and message from the marketing trigger all through onboarding. The same principle applies to multi-product apps like Jupiter: recognize the one thing a user valued and don't greedily push everything else at once.

  • Optimize for the marginal or adjacent user, not just current users
  • Connect the marketing trigger and promotion straight into onboarding in the user's language
  • For multi-product apps, resist cross-selling everything at once
  • Choose a hook product and the single message that earns the user's attention

“actually the key is to recognize that this user has found value in and they're not interested in all the other things that you talked…”

Anuj Rathi · 19:30

“one is the importance of focusing on not people currently using your product but this idea of maybe the marginal user or the adjacent user”

Lenny · 20:00
#positioning#onboarding#growth
Takeaway30:30

Full-Stack PMs Beat Specialists

Anuj believes PMs should own outcomes, not just features, which means being full-stack across users, competition, engineering and marketing rather than excellent at one narrow area. He and Lenny connect this to the book Range and to Roger Federer and Wayne Gretzky, who played many sports young and connected more dots in the one they chose.

  • PMs must own outcomes and business impact, not just launched features
  • Breadth across users, competition, engineering and marketing wins over deep specialization
  • The book Range and Federer/Gretzky both show varied experience builds a bigger idea set
  • You don't need to be an authority in everything, but you need partnerships and buy-in

“so in my opinion the full stack product managers are the ones who are going to be more successful rather than U product managers who…”

Anuj Rathi · 31:30
#career#product-management#full-stack
Takeaway1:08:30

Stop Externalizing: You Are the Reason for Your Own Misery

Anuj's life motto is 'stop externalizing' — the more artistic version being 'you are the reason for your own misery.' When a meeting or a product goes wrong, look first at what you could have done better. As a poker player he accepts that outcomes are half luck, half skill, but sustained failure means you have to examine your own skill.

  • When things go wrong, ask what you could have done better first
  • Outcomes are roughly half luck and half skill
  • Sustained failure over time points back to your skill, not luck
  • The mindset is meant to be empowering and responsible, not self-blaming

“stop externalizing that's one which also means the the more artistic way to say that is you are the reason for your own misery”

Anuj Rathi · 1:09:00

“but over a long period of time if it's only luck and you're failing and failing and failing you have to go and look back…”

Anuj Rathi · 1:09:30
#mindset#leadership#life-lessons