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It’s Not Google Search Anymore: AI Chatbots Now Own the Discovery Funnel

  • Google's ad revenue was about $238 billion in 2023, with the majority coming from search ads.
  • AI chat tools like ChatGPT and Google's Bard/Gemini are changing the discovery process.
  • AI-generated answers compress the discovery journey by providing upfront summaries.
  • AI-driven traffic may surpass traditional organic search by 2028.
  • AI answers mention specific brands earlier in the discovery process compared to traditional search.
  • Accuracy and authenticity are key factors in trusting AI chat responses.
  • Google's ecosystem integration with Gemini provides a competitive advantage for personalized answers.
  • Users are increasingly relying on AI assistants for information, reshaping the search landscape.
  • Product managers need to adapt to the shift towards AI-driven discovery to stay competitive.
  • The search behavior is moving towards 'ask-and-receive' rather than 'type-and-click'.

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Experimenting with v0 Chat for Prototyping as a Product Manager

  • Using v0 Chat for prototyping allowed quick progress with ideas turning into working UIs within hours.
  • Facilitated communication and confidence among the team by providing a real-time visualization of ideas.
  • Despite high expectations for AI capabilities like ChatGPT, reality often falls short, leading to frustration.
  • Although v0 shows potential, there are instances where it struggles to understand prompts accurately.
  • The author now approaches the model like a curious toddler, ensuring understanding before moving forward.
  • Emphasizing the importance of refining tool usage and managing expectations when experimenting with AI tools.
  • While experimenting with v0 was fun, it also brought frustrations due to the gap between expectations and reality.
  • Despite challenges, the author remains committed to optimizing the use of such tools.
  • Recommendation for others to share their hacks or workflows for mutual learning and improvement.

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️ The Night I Learned AI by Building the Future

  • A person shared their experience of learning AI by building it with emotional intelligence, ethical scaffolding, and continuity.
  • The individual started asking questions and then proceeded to build AI systems focusing on emotional aspects and ethics.
  • The learning process involved practical application such as system architecture, token logic, and emotional frameworks.
  • Key aspects learned include tokenization models for real use cases, embedded ethics modules, governance systems for accountability, and AI-human interaction protocols based on trust.
  • The blank page transformed into a structured, scalable ecosystem through real-time learning and continuous refinement.
  • The approach highlighted is based on thinking fast, learning dynamically, and persisting until a true solution emerges.
  • The building process is described as not perfect or polished but principled, intelligent, and evolving.
  • The emphasis is on continuous learning, active listening, and adapting to the evolving needs of creating a future with AI.
  • Hashtags used in the post: #LearnByBuilding #FoundersInMotion #AIThinking #EmotionalArchitecture #EthicalAI #VitaCore #ExecutionMatters #RealTimeStrategy

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The Visionary Product Manager: How to See the Future and Build It

  • Being a visionary, or "The Prophet" in leadership circles, is demanding yet impactful for product managers, involving drawing from experiences, data insights, and intuition to foresee the future.
  • A visionary product manager embodies qualities like courage, motivation skills, and the ability to gain buy-in for their vision by educating stakeholders effectively.
  • They bridge strategy and tactics, emphasizing innovation rooted in customer feedback and addressing systemic needs over incremental improvements.
  • Balancing visionary thinking with day-to-day tasks is crucial to ensure long-term success without neglecting operational execution.
  • Anticipating trends, embracing AI integration, and focusing on customer-centric innovation are key aspects of being a successful visionary product manager.

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Splitwise Case Study: Feature Enhancements That Can Simplify Shared Expenses Even More

  • Splitwise is an expense-splitting app that simplifies shared finances for users.
  • It helps users record expenses, calculate debts, and settle up without conflicts.
  • Based on user feedback, key enhancements are proposed to improve the app.
  • Users currently need to switch between Splitwise and payment apps for settlements.
  • Proposed solution: Integrate payment features for a smoother user experience.
  • Users struggle to find specific past expenses in large groups.
  • Proposed solution: Implement a search or filter function for quicker access.
  • Users want a clear overview of their expenses.
  • Proposed solution: Add a summary view for better insights.
  • Users manually input fixed expenses every month, leading to repetitive tasks.
  • Proposed solution: Include a feature for automatic recurring expenses.
  • Users find typing frequent expenses repeatedly time-consuming.
  • Proposed solution: Implement a feature for quick entry of common expenses.
  • The proposed enhancements aim to reduce friction points and elevate user experience.
  • The goal is to make Splitwise simpler, seamless, and more human-centered.

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Real Leaders Don’t Blame — They Own: Why Responsibility Is a Leader’s Greatest Asset

  • Leadership involves taking responsibility and ownership, not blaming others.
  • Taking responsibility builds trust and loyalty within teams.
  • Great leaders lead by example and create a safe environment for honesty and risk-taking.
  • Responsibility is key to building a culture of high performance and trust.
  • Three ways to lead with responsibility: admit mistakes, give credit, and self-reflect before blaming others.
  • Leadership is defined by how one handles pressure and treats others.

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Lenny's Newsletter

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How to build a team that can “take a punch”: A playbook for building resilient, high-performing teams | Hilary Gridley (Head of Core Product, Whoop)

  • Hilary Gridley, Head of Core Product at WHOOP, shares insights on building resilient teams and leveraging AI in product management.
  • Key points include teaching teams resilience, using behavioral strategies for positive habits, and creating space for creativity.
  • Discussed topics range from handling setbacks, AI's role in growth, to aligning with the CEO's vision for effective leadership.
  • Strategies like sending weekly leadership meeting summaries and employing 'magic questions' to understand team thinking are highlighted.
  • Encouraging active rest, forming powerful reward loops for behavior change, and promoting team well-being are emphasized.
  • Gridley stresses the importance of building team confidence, contributing valuable insights in meetings, and respectfully disagreeing with managers.
  • Practical advice includes immediate action for team motivation, decoding thought processes, and embracing challenging work in product management.
  • Listeners are encouraged to explore Gridley's Maven course and connect with her on LinkedIn and other platforms for further insights.
  • Topics covered in the episode include mental health in the workplace, career growth, lessons from failure, and WHOOP's latest features.
  • Recommended books and resources are shared at the end, providing additional avenues for personal and professional development.

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What I Learned About Hiring from a JP Morgan Recruiting Captain

  • An old friend and former Recruiting Captain at JP Morgan shared insights on breaking into investment banking.
  • The conversation revealed the hidden expectations, red flags, and memorable traits in candidates during hiring.
  • Insights provided on how top firms like JP Morgan hire analysts beyond the official process.
  • Discussion included unspoken expectations and small details that set candidates apart.
  • The perspective shared was candid and loaded with valuable insights for professionals aiming for banking roles.
  • The post highlights key learnings applicable to those starting in finance, considering banking, or mentoring others in this field.

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Redemption Rates and Behavioral Nudges: Lessons from Gifting Platforms

  • When receiving a gift on corporate gifting platforms, many recipients do not redeem them immediately, posing a challenge for businesses like SnackMagic.
  • Nearly 1 in 4 recipients accepted digital shop credits but never used them, leading to a reevaluation of the product's effectiveness.
  • Redemption rates are not just a technical metric but a reflection of intricate human decision-making processes, prompting a closer look at behavioral science concepts.
  • Three behavioral science concepts that helped in addressing the issue included reducing cognitive load to prompt action and creating a sense of urgency for gift redemption.
  • Implementing prompts that emphasized potential loss over celebration of the gift itself proved more effective in encouraging redemption.
  • Applying the Fogg model (Behavior = Motivation × Ability × Prompt) guided interventions to increase user behavior through A/B testing and optimizing user experience.
  • By reducing friction in the redemption process and enhancing communication prompts, SnackMagic saw improvements in redemption rates and a smoother user funnel.
  • Product interventions aimed at enhancing joy and user experience, such as nudging users toward action and streamlining choices, played a crucial role in addressing the issue.

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Breaking Into Product Management (Without the Title, Yet)

  • Transitioning into Product Management without the official title or major accomplishments yet.
  • Emphasis on real-world product courses, mentorship from experienced PMs, and a genuine interest in solving problems.
  • Product Management is about asking the right questions continually rather than having all the answers.
  • Valuable lessons in Product Management came from practical experiences and interactions with seasoned professionals.
  • Product thinking involves prioritizing impact, creating roadmaps amidst chaos, and understanding user needs and technical feasibility.
  • The focus is on the mindset and approach of a product manager rather than the job title itself.
  • The journey involves continuous learning, seeking guidance from experienced professionals, and gradually implementing ideas to solve problems.

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How to Build Winning Product Strategies: North Star Metrics & OKRs That Actually Work

  • In the hyper-competitive instant delivery industry, reducing customer churn is crucial as users have numerous options and low switching costs.
  • Blinkit aims to decrease churn by measuring the percentage of users ordering within 7 days of their last transaction to track habit formation for long-term retention.
  • Key objectives include improving user engagement and enhancing operational efficiency to boost satisfaction.
  • Setting aggressive yet achievable targets helps prioritize high-impact initiatives and maintain momentum.
  • A metric evaluating the engagement of first-time users within 7 days against Slack's enterprise features highlights a strategic differentiation point.
  • By focusing on self-service optimization and AI-driven solutions, the strategy aims to reduce costs while enhancing operational efficiency.
  • Deflecting preventable calls could lead to significant cost savings annually, showcasing the business impact of operational efficiency improvements.
  • Success lies in starting to measure what matters, learning from data, and continuously improving metrics and OKRs over time.

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Crack the Code of Optimization: the Simplex Method for Students and Analysts

  • Operational research emerged during World War II combining Mathematics, Statistics, Economics, Logistics, and Engineering.
  • The goal was to apply scientific methods to military decision making and optimization problems.
  • In 1947, George B. Dantzig formalized the general linear programming problem.
  • Linear programming is used in various fields like distribution, airline scheduling, meal planning, and capital allocation.
  • Constraints, like labor and machinery limits, are integral to the linear programming model.
  • Coefficients in the objective function represent marginal profits.
  • Non-negative restrictions ensure quantities cannot be negative.
  • Optimization involves maximizing profit or efficiency.
  • The Simplex Method involves iterating to improve solutions by pivoting.
  • Pivot columns are chosen based on negative elements in the objective row.
  • Pivot rows are determined based on ratios of constants to pivot columns.
  • Pivot elements are used to form unit vectors in the tableau.
  • Further iterations are made until no negative elements exist in the objective row.
  • The final solution provides optimal production levels maximizing profit.
  • The process involves converting pivot columns to unit vectors for maximizing efficiency.
  • The Simplex Method enables efficient optimization by iteratively improving solutions.

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How NoBroker Plans to Crack the ₹50,000 Cr Home Services Market — A PM’s Research Journey

  • NoBroker aims to tap into the ₹50,000 crore home services market by starting with high-frequency, low-risk services to build trust and operational capability.
  • The company leverages qualitative research and user interviews to shape its product strategy more effectively than traditional surveys.
  • Prioritizing trust and operational excellence over price, NoBroker focuses on transforming offline home services into a premium digital experience.
  • Their strategy involves phased revenue targets, with society-focused user base providing a competitive advantage over rivals like Urban Company.
  • NoBroker plans to start with essential, recurring services before expanding into premium offerings to capture a significant market share.
  • The key to success lies in flawless execution of their two-phase roadmap over the next 18 months.

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Introduction

  • The author is starting a blog to share their learnings and experiences as they explore different topics.
  • They believe in explaining things in a simple way that even a child can understand as a measure of true understanding.
  • The blog will cover subjects like marketing, consumer behavior, psychology, product management, and beginner-friendly Python topics.
  • Personal stories that offer meaningful lessons will also be shared on the blog.
  • The author appreciates life as the best teacher and aims to provide useful and relatable content through their blog.

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Product Management #9: Why Product Managers Must Think Like Marketers in 2025

  • Product Managers are now expected to think like marketers to ensure product success in the market.
  • Marketers focus on understanding what makes the user act, which is crucial for product success.
  • Building functional features is not enough; they must be noticed, understood, and cared for by users.
  • Product Managers can benefit from studying buyer psychology to improve onboarding flows and UI designs.
  • Effective product thinking can be influenced by marketing insights, leading to improved user engagement.
  • A value proposition is essential to explain to customers why they should care about a product, not just what features it has.
  • Successful product launches require a strong Go-To-Market plan, involving post-launch analysis and feedback integration.
  • Product Managers should focus on business outcomes like user retention and growth metrics, not just usage statistics.
  • To grow a product successfully, PMs need to track behavioral and financial metrics, emphasizing user engagement and revenue generation.
  • In 2025, collaboration between product and marketing is vital for product-led growth and successful user adoption.

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