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Product Growth Podcast

Aakash Gupta
Product Growth Podcast
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  • How to Engineer Delight Into AI Products: The Complete Playbook from Spotify & Google PM Nesrine Changuel
    Today’s EpisodeWhy do some AI products feel like magic while others feel like work?You shipped. It works. Your metrics show “success.”But users aren’t coming back. They’re not telling friends. And next quarter, they’ll switch to the competitor with a better model.Nesrine Changuel built Spotify Wrapped and ran Google’s Delight Team. Today, she’s giving you the complete playbook:The 4-step Delight Model to engineer emotional connection (not just satisfaction)----Check out the conversation on Apple, Spotify and YouTube.Brought to you by:* Miro: The AI innovation workspace* Vanta: Leading AI compliance platform* Testkube: Leading test orchestration platform* Kameleoon: Leading AI experimentation platform* The AI PM Certificate: Get $550 off with ‘AAKASH550C7’-----Key Takeaways01 | Understand the 3 Types of DelightLow Delight solves functional needs only. Surface Delight adds emotion without function (confetti, animations). Deep Delight combines both - solving problems while creating emotional connection. ChatGPT and Cursor win because they nail Deep Delight. Most PMs only ship Low Delight.02 | Follow the 50-40-10 RuleAllocate 50% of your roadmap to Low Delight (core functionality), 40% to Deep Delight (differentiation), and 10% to Surface Delight (brand personality). Deep delight drives 2x retention, 2x referrals, and 2x revenue versus satisfied users. This is your competitive moat.03 | Start with Motivational SegmentationStop segmenting by demographics. Identify WHY users actually use your product. Map functional motivators (search, get inspired) AND emotional motivators (feel less lonely, feel proud). Your users aren't all using your product for the same reason.04 | Use the Delight GridCreate a grid with functional motivators on vertical axis and emotional on horizontal. Place every feature idea on it. Only functional = Low Delight. Only emotional = Surface Delight. At the intersection = Deep Delight. Can't map it? Don't build it.05 | Apply the Humanization TechniqueAsk: "If my product was a human, how would the experience be better?" Google Meet compared to being in the same room, not Zoom. Dyson compares to hiring a human cleaner, not competitors. This creates features like hand raise and emoji reactions.06 | Validate with the Delight ChecklistBefore shipping, ask: Does it bring value to business AND user? Is it inclusive? Is it familiar? Is it continuous? Is it measurable? Google Meet held back filters until they worked on ALL skin tones. This prevents Apple's breakup message disaster.07 | Study Deep Delight ExamplesGmail Smart Compose reduces stress while helping you write. Google Meet's AI translation uses YOUR voice and emotion. Spotify's Discover Weekly personalizes while creating belonging. Chrome's Inactive Tabs improves performance while respecting user relationships. Function + emotion together.08 | Test for Corner Cases ObsessivelyApple's AI summarized a breakup as "no longer in relationship, wants belongings." WhatsApp told a grieving person to "ask John to resend" a photo of her deceased brother. AI progresses fast functionally, but emotional needs get ignored. Corner cases destroy reputations.09 | Learn from ChatGPT's WinChatGPT has 800M users not because of accuracy. People pay subscriptions because they feel less lonely. The emotional need - companionship for solo founders and remote workers - drives retention. Deep delight = personalization that improves over time and remembers context.10 | Start Delight Early, Not LaterDon't say "let me ship functionality first, add delight later." You're building brand perception from day one. Users forgive functional gaps if the experience delights. They won't forgive boring products that work. Engineer delight from the start.----Where to Find Nesrine Changuel* LinkedIn* Twitter/X* Product Delight Book----Related ContentPodcasts:* How to Use Google’s Latest AI Tools* What it means to be Design-Led* If you only have 2 hrs, this is how to become an AI PMNewsletters:* How to Build AI Products Right* How to Land a $300K+ AI Product Manager Job* How to Become an AI Product Manager with No Experience----P.S. More than 85% of you aren’t subscribed yet. If you can subscribe on YouTube, follow on Apple & Spotify, my commitment to you is that we’ll continue making this content better.----If you want to advertise, email productgrowthppp at gmail. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe
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  • How to Land a $700K+ AI PM Job Using AI by Google PM Alex Rechevskiy
    Today’s EpisodeAlex Reachvky has helped hundreds of PMs land $700K+ AI jobs.The gap between $140K and $700K isn’t magic. It’s method.Today, he breaks down the exact AI-powered workflow to land an AI PM job, from resume creation to acing interviews.This is the playbook PMs are using right now to 10X their callbacks and land multiple offers.----Check out the conversation on Apple, Spotify and YouTube.Brought to you by:Brought to you by Linear: Plan and build products like the best.----Key Takeaways1. AI PM jobs pay 30-40% more than regular PM roles - Group PMs make $360K-$600K, CPOs make $2M+. In 2025, 20% of PM roles now mention AI (up from 2% in 2023). The market is exploding and compensation bands are wider than ever.2. Your resume's top 3 lines are everything - Recruiters spend 7 seconds scanning for Impact, Scope, and Recognizability. Template: "[X years] PM at [Google] | [2B users] | [Scaled revenue 50% YoY to $3.5B]." Pack your biggest wins and recognizable brands here.3. Create a "bullet vault" then customize in 5 minutes - Use AI to transform your raw career dump into structured bullets covering all PM skill bundles. Use this master resume to tailor for each role by extracting 3-5 non-generic must-haves from the JD.4. Cold applications get 1% callbacks, outreach gets 10-15% - The math: 30-100 apps → 3-4 callbacks → 1 interview. For every role, find the hiring manager, recruiter, and senior PM. Use ContactOut for emails. Message formula: 1 intro + 3 bullets + 1 CTA under 150 words.5. Follow up on days 2, 3, and 5 - People miss emails. Persistence wins jobs. If no email response, send LinkedIn connection request. The golden age of PM networking is here: send 30 connection requests daily, comment on posts for 10X more reach than posting.6. Use Whisper to brain dump at 200 WPM - Answer 24 career questions by speaking instead of typing at 120 WPM. Cover: projects, impact, obstacles overcome, tools introduced, people mentored. This becomes your career vault for both resumes and behavioral interview stories.7. Behavioral interviews follow Hook-Principles-Action-Results-Learnings - Build 10-15 stories covering leadership challenges, stakeholder conflicts, failed projects, launches. Practice progression: Written first → Spoken → Timed (under 3 minutes). Feed to AI for refinement and probing follow-ups.8. Case interviews are evaluated on 6 dimensions - Structured Thinking, User Focus, Product Sense, Prioritization, Communication, Creativity. Prompt AI: "You're a FAANG interviewer. Ask me ONE question. Rate 1-5. Quote my weak phrases, explain why they failed, give better approach."9. Only apply when 50%+ aligned with the role - Extract non-generic must-haves from the JD using AI. Ignore "team player" fluff. Focus on: specific tech infrastructure, growth levers, scale requirements. Rewrite top 3 lines and stack rank bullets to match. Don't let AI fabricate experience.10. Build your target company list strategically - AI prompt: "Create 50-100 companies ranked by fit. Consider: size (public/late-stage/early-stage), interests, geography." Keep broad. More interviews = better negotiation leverage. Focus on roles posted in last 24 hours. Most PM jobs still in SF Bay/Seattle.----Where to Find Alex Rechevskiy* LinkedIn* Twitter/ X* Website----Related ContentPodcasts:* Google AI PM Director drops an AI PM Masterclass* If you only have 2 hrs, this is how to become an AI PM* Complete Course: AI Product ManagementNewsletters:* How to Become an AI Product Manager with No Experience* How to Write a Killer AI Product Manager Resume* How to become an AI Product Manager----PS. More than 85% of you aren’t subscribed yet. If you can subscribe on YouTube, follow on Apple & Spotify, my commitment to you is that we’ll continue making this content better.----If you want to advertise, email productgrowthppp at gmail. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe
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  • Here's my brutally honest ranking of the top 70 AI PM Tools, with Google Product Leader Anshumani Ruddra
    Every PM is asking the same question: Which AI tools actually make me faster?There are hundreds of apps. Most are hype. Some are game-changers.Today, I sat down with Anshumanni Rudra - VP of Product at Hotstar, now Group Product Manager at Google leading all APAC payments - to rank 70+ AI tools tier-list style.We didn’t hold back. S-tier tools got crowned. D-tier tools got exposed.And we revealed the single best AI tool for product managers in 2025.Watch the full episode for a chance to win a 1-year free subscription to my newsletter.----Check out the conversation on Apple, Spotify and YouTube.Brought to you by:* Miro: The innovation workspace* Vanta: Leading AI security & compliance platform* Testkube: Leading test orchestration platform* Kameleoon: Leading AI experimentation platform* Dovetail: abc----Key Takeaways1. Claude Code is the absolute best AI tool for PMs - Anshumanni runs 6 terminal windows simultaneously doing different things on different parts of his directory. It understands your entire codebase and lets you go from idea to working code in minutes.2. superwhisper is the S-tier dictation tool that has Anshumanni shouting debugging commands at his screen like Tony Stark. His typing speed has actually fallen since he started dictating everything, making typing feel obsolete.3. Lindy.AI is the S-tier agent builder PMs actually want because you can prompt it with natural language instead of building flows. Create email responders, meeting prep assistants, and podcast-to-blog converters without touching code.4. Replit is the ultimate AI prototyping champion that can plan and work for hours building complete applications with minimal guidance. Even before AI, Replit was a strong web-based IDE with deep developer understanding that shows.5. Granola is the S-tier meeting tool that learns your style and auto-generates talking points based on previous conversations. Unlike Otter or Fireflies, it has intelligent context awareness like a personal assistant.6. Perplexity gets C-tier as Anshumanni's usage has "gone down quite drastically" since the early days. AI mode in other tools now does what Perplexity used to do with deep search rabbit holes.7. Cursor gets A-tier as the only IDE with the agent on the right side of the screen, which matters for how PMs think. Anshumanni's usage is "way higher" than other tools purely because of this UX choice.8. Bolt is Anshumanni's pick for best AI prototyping in A-tier with the best structure from the start. It thinks about both front-end and back-end by default, letting you go from prompt to deployed app in minutes.9. GitHub Copilot is the first D-tier tool because it's "just not as good" - very ChatGPT focused, not enough Claude. Developers are leaving for Cursor and Claude Code for a reason.10. Don't chase shiny tools - analyze how you spend your week, find what takes the most time, then find the specific tool that solves that problem. Pick tools for your workflow, experiment, then measure if they improve productivity.---Related ContentPodcasts:* How to Use Google’s Latest AI Tools | Jaclyn Konzelmann Episode* How to PM Production Changes with Devin | Sahil Lavingia Episode* Complete Course: AI Product ManagementNewsletters:* How to Become an AI Product Manager with No Experience* How to Write a Killer AI Product Manager Resume----Want my coaching to your dream AI PM job? Apply to grab one of the remaining 17 seats in my cohort:P.S.1 More than 85% of you aren’t subscribed yet. If you can subscribe on YouTube, follow on Apple & Spotify, my commitment to you is that we’ll continue making this content better.P.S.2 I’d really appreciate ratings + reviews on podcast platforms as well.----If you want to advertise, email productgrowthppp at gmail. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe
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  • Google AI PM Director drops an AI PM Masterclass + Tutorial on Google's AI Tools
    I had a precious hour of a Google AI PM Director’s time. So, I extracted all the best insights about AI PM for you:How to use Google’s latest AI tools like an insiderHow to build great AI productsHow to become an AI PMAnd I didn’t hold back on the tough questions. And Jaclyn Konzelmann dropped an absolute masterclass.You don’t want to miss her advice on AI PM resumes...----Check out the conversation on Apple, Spotify and YouTube.Brought to you by:Vanta. Pendo. Linear Generic. Jira Product Discovery.* Vanta: Leading AI security & compliance platform* Pendo:* Linear: Plan and build products like the best.* Jira Product Discovery: Plan with purpose, ship with confidence* LandPMJob: Land a PM Job with Aakash Gupta----Key Takeaways1. Nano Banana Understands World Models: Ask it to show Toronto in winter → adds snow. San Francisco in winter → no snow. The model knows SF doesn't get snow. This world knowledge unlocks creative workflows beyond basic image generation.2. The Colorization Workflow: Use Gemini Pro to refine prompts → Focus on vibrant colors, lighting transformation, hyperrealistic detail, modern camera optics → Add negative prompts for failed iterations. "Keep playing around with things until you get it just right."3. Chain Tools for Advanced Workflows: Photo → Imagen (reimagine as drone show) → Veo (animate the drones flying) → Result: Your pet as a living drone show with tail wagging. Access through AI Studio, Gemini app, or Mixboard.4. Build AI Apps Without Code Using Opal: Describe what you want in natural language → Opal writes the prompt chains → Customize models and outputs → Share publicly. Examples: Resume critique tool, nature collage generator, custom storybook maker.5. The Anatomy of an Agent Framework: Every AI agent has 3 components - Models (text/image/video capabilities), Tools (APIs, search, UI actions), Memory (what to remember, personalization strategy). Define these before writing code or PRDs.6. The User Interaction Spectrum: Every AI product falls on "Do it FOR me" (Deep Research, Audio overviews that run and return) vs "Do it WITH me" (vibe coding, interactive experiences).7. The Inverted Triangle: Think Big, Ship Fast: Think REALLY big → Use 3 levers to ship: Scope (ruthless MVP cuts), Positioning (beta/experiment labels), Audience (internal → trusted testers → public). Don't let process slow the vision.8. Ask The Paradigm Shift Question: Are you building a faster horse or a car? Process-improving a workflow or creating an entirely new one? "The real value is the unlock on what's the new way things will get done."9. The Future-Proofing Question: What happens when models get better? Real example: Mixboard threw out months of image editing work when Nano Banana launched with natural language editing.10. Google's 6 Hiring Criteria for AI PMs: Exceptional product taste, visionary leadership (think 5 steps ahead), clarity in chaos, compelling product storytelling, full-spectrum execution (blended role profiles), deep AI intuition. Keep resume to 1 page, show actual work, design with personality.11. The Side Project Strategy: Run 10 side projects simultaneously. Not to launch 10 products, but to think differently and connect dots.12. Don't Get Precious About Ideas: Any single idea can get commoditized in weeks with AI. The skill isn't having one great idea—it's consistently generating good ideas.----Where to Find Jaclyn Konzelmann* X (Twitter)* Linkedin* Substack----Related ContentPodcasts:* How to Become, and Succeed as, an AI PM | The Marily Nika Episode* If you only have 2 hrs, this is how to become an AI PM* Complete Course: AI Product ManagementNewsletters:* How to Become an AI Product Manager with No Experience* How to Write a Killer AI Product Manager Resume* How to become an AI Product Manager----P.S. More than 85% of you aren’t subscribed yet. If you can subscribe on YouTube, follow on Apple & Spotify, my commitment to you is that we’ll continue making this content better.----If you want to advertise, email productgrowthppp at gmail. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe
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  • How to PM Production Changes with Devin: Tutorial From Gumroad CEO, Sahil Lavingia
    Today’s EpisodeSam Altman said one person will build a billion-dollar company.Sahil’s already halfway there with just one employee.Most PMs are still running 6-week sprints. Writing 10-page PRDs. Coordinating between designers and engineers. Sahil ships features from Slack to production in 30 minutes.Here’s the exact AI workflow powering Gumroad’s $10M ARR:If AI gets it wrong, your communication was unclear.----Check out the conversation on Apple, Spotify, and YouTube.Brought to you by:* Vanta: Leading AI security & compliance platform* Testkube: Leading test orchestration platform* Kameleoon: Leading AI experimentation platform* The AI PM Certificate: Get $550 off with ‘AAKASH550C7----Key Takeaways1. Three-Tier AI Workflow: Small tasks (Slack → Devon → Production), Medium tasks (GitHub issue → GPT for PRD → V0 prototype → Ship), Large tasks (4-line brief → V0/Codex → Vercel → Cursor → Production). Match the tool to task complexity.2. From Slack to Production in Minutes: Customer reports feature request in Slack with screenshots. Type "Devon, address this." Devon reads thread, writes code, opens PR, ships to production. "Weeks of coordination at big companies. We just decide and Devon addresses it."3. The PRD Is Dying: Stop writing 20-page PRDs for AI. Write 4 lines. Let AI prototype. See what it misunderstands. That reveals what you forgot to specify. "The PRD is only as dense as what cannot be inferred naturally."4. Use AI to Refine Your Thinking: Paste brief into V0, GPT, and Codex. Each builds something different. Their mistakes show your communication gaps. It's a fake conversation with engineers that makes your real spec better.5. Architecture Is the New Competitive Advantage: Gumroad is deleting 5,425 lines of CSS to migrate to Tailwind (181 lines). Global CSS means every change affects 300 files. Tailwind means one file change. "Devon made a one-file change. With CSS, you're testing 300 files."6. Tailwind Is Built for AI: Design system in 181 lines: fonts, colors, padding, borders, shadows. AI never guesses. Industry standard with massive training data. "It's like hiring an engineer who already understands 2x4s. AI knows exactly what to do."7. AI Is 99th Percentile at Most Things: Defer design and code decisions to AI. If it's important, put it in the spec. If not in the spec, let AI decide. "The decisions AI makes are pretty good. That's why we can move super fast."8. Work on 5 Things Simultaneously: AI is slow. Solution? Run 4-5 AI sessions at once. While V0 builds, check email. While Codex compiles, answer Slack. "It's like having an army of assistants. I don't wait—I fill the dead time."9. The Dictatorship Advantage: Big companies need buy-in from PMs, designers, engineers, managers. Gumroad: Sahil → Devon → Production. "The hard part at big companies is aligning people to get behind a decision. It has nothing to do with actually shipping."10. Perfect the Business, Don't Scale It: $10M ARR, $7-8M EBITDA, $2M dividends last year, 1 employee, 35,000 creators. Goal: $10M EBITDA, then perfect the software. "I just want to work on software, make it better, have people use it, be proud of the work we do."----Where to Find Sahil Lavingia* Linkedin* X (Twitter)* Gumroad----Related ContentPodcasts:* We Built an AI Employee in 62 mins* Conversation with the CEO and Founder of Bolt* This $20M AI Founder Is Challenging Elon and Sam Altman | Roy Lee, CluelyNewsletters:* How to Build AI Products Right* Ultimate Guide to AI Prototyping Tools* The Fintech Super App Wars----P.S. More than 85% of you aren’t subscribed yet. If you can subscribe on YouTube, follow on Apple & Spotify, my commitment to you is that we’ll continue making this content better.----If you want to advertise, email productgrowthppp at gmail. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe
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