Types of APIs Explained for AI Product Managers
Learn the major types of APIs—Open, Partner, Internal, and Composite—and API architectures such as REST, SOAP, and RPC, with practical guidance for AI Product Managers.
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Product Management
Frameworks, case studies, and field notes on building products people love.
5 AI Tools Every Product Manager Should Use in 2026
Discover 5 AI tools every product manager should use to improve research, PRDs, presentations, automation, customer feedback, and product workflows.
ReadHow to Answer "What's Your Favorite Product?" in a Product Management Interview
Learn how to answer the favorite product interview question using passion, perspective, and personality, with examples and a simple framework.
ReadHow to Answer Metrics-Based Product Manager Interview Questions
Learn a practical six-step framework for solving metrics-based PM interview questions, including goal setting, North Star metrics, supporting metrics, and counter metrics.
ReadProduct Sense Interview Questions: A Practical Framework for PM Interviews
Learn how to answer product sense interview questions with a practical framework covering users, pain points, ideas, product vision, features, metrics, and trade-offs.
ReadBuild, Buy, or Fine-Tune AI Models: A Practical Guide for AI Product Managers
Learn when to build, buy, or fine-tune an AI model. Compare cost, speed, control, and use cases with a practical AI product management framework.
ReadProduct Manager Pricing Strategy: How to Answer Pricing Questions in PM Interviews
A step-by-step framework for answering PM pricing interview questions: customer value, competitors, willingness to pay, and pricing strategy.
ReadPrompt Engineering for AI Product Managers: 3 Techniques You Must Know
Learn the three essential prompting techniques every AI Product Manager should know: zero-shot, few-shot, and chain-of-thought prompting, with practical examples and use cases.
Read10 Must-Know AI Product Manager Interview Questions and How to Answer Them
Prepare for AI Product Manager interviews with 10 essential questions on LLMs, roadmaps, prioritization, evaluation, and AI governance.
ReadWhat Are Large Language Models (LLMs)? A Practical Guide for Product Managers
Learn what Large Language Models (LLMs) are, how they fit into AI and Generative AI, and understand tokens, parameters, context windows, embeddings, and Transformer architecture.
ReadHow to Solve Guesstimate Questions in Product Management Interviews
Learn how to solve guesstimate and estimation questions in product management interviews using a simple, structured framework with examples.
ReadHow to Solve RCA Questions in PM Interviews: A Practical Root Cause Analysis Framework
Learn how to solve Root Cause Analysis (RCA) and problem-solving questions in Product Manager interviews with a structured, hypothesis-driven approach.
ReadHow to Solve Product Design Questions in PM Interviews: CIRCLES Method Explained
Learn how to approach product design interview questions with frameworks, examples, and practical tips for clear, structured answers.
ReadProduct Prioritization: 4 Practical Techniques for Product Managers
Learn four practical product prioritization techniques—RICE, ICE, impact-effort matrix, and MoSCoW—to make faster, value-focused decisions.
ReadHow AI Can Transform Zerodha's Kite & Coin: 5 AI Product Features for Smarter Investing
Five AI product ideas for Zerodha's Kite and Coin — a portfolio risk analyzer, research copilot, overlap detector, earnings summarizer, and concept explainer — built out as a full AI Product Management case study.
ReadWhat is a Product?
What a product really is, using Philip Kotler's Core, Actual, and Augmented product model, explained with a simple washing machine example.
ReadHow AI Product Manager role is different from Traditional PM?
How an AI Product Manager differs from a traditional PM — responsibilities, AI PM types, overlapping roles, key skills, and a day in the life of an AI PM.
ReadAbout API: Understanding API for a Dummy Like Me
A plain-language walkthrough of what an API actually is, using a waiter analogy, a flight-booking example, and the jargon every PM eventually has to learn.
ReadWhat is an SDK?
A simple toolbox analogy for understanding what a Software Development Kit actually is — the tools inside it, its benefits, common types, and drawbacks.
ReadThree Interesting User Personas of BigBasket
A user research case study building three distinct BigBasket personas — Novice, Intermediate, and Advanced — complete with journey maps for each.
ReadOne Feature That Improves Netflix
A product case study proposing a 'watched' indicator for Netflix, built on user research and the North Star Metric framework.
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