cases
worked examples — editorial cases that show what strong PM calls look like under real constraints.
Air Canada — The Chatbot That Made a Promise the Airline Had to Keep
featuredIn February 2024, a small-claims tribunal in British Columbia ruled that Air Canada was legally on the hook for a refund policy its chatbot invented. The dollar amount was trivial. The precedent rewrote the risk model for every AI product team shipping a customer-facing assistant. This is a case study about what happens when a hallucination meets a contract — and what the legal record now expects you to have built before launch.
Airbnb — Rise of a Unicorn
featuredHow a couch-share idea evolved into a global category — the leadership decisions that compounded.
DeepSeek — The Week the AI Capex Story Broke
featuredIn January 2025, a Chinese quant fund's side project erased $589B from Nvidia's market cap in a single trading day. The real story isn't that DeepSeek beat OpenAI — it's that the AI industry's capex narrative had been wrong for 18 months and almost nobody outside DeepSeek noticed.
GitHub Copilot — The First Real AI Product, and What Five Years Taught Us
featuredCopilot is the most successful AI product launched to date. The lessons from its five-year arc are buried under a pile of marketing claims that the underlying research never actually made. A case in distribution, UX wedge, and what productivity research really says.
Klarna — When AI Customer Support Was Half-Right
featuredKlarna's February 2024 AI announcement was a masterclass in PR — two-thirds of chats handled, 700 agents' worth of work, $40M of projected profit, all in the first month. The 2025 walk-back was a masterclass in judgment, and it is the part every AI PM needs to study harder than the launch.
Linear — AI as a Quiet Utility, Not a Chat Assistant
featuredWhile most B2B SaaS bolted a chatbot onto the corner of its product, Linear threaded AI into the surfaces where decisions already happen — the comment thread, the cycle review, the triage queue. A case in AI feature restraint inside a product whose brand is restraint.
AirAsia — Technology as the Operating System for a Low-Cost Airline
AirAsia's "Now Everyone Can Fly" strategy wasn't just marketing. It was backed by a deliberate IT infrastructure built from 2001 that made low-cost operations viable at scale. A case in technology enabling business strategy.
Amazon — Data Science as the Core of an E-Commerce Product Machine
Amazon's recommendation engine, anticipatory shipping, and dynamic pricing are not add-on features — they are the product. A case in data science as the primary product strategy at scale.
Anthropic — Research Lab to Product Company
How Anthropic built a consumer product around a foundation model they also own — the PM decisions when the model team and the product team share the same building, and the trust, fallback, and tool-use design that defined Claude's launch.
Apple iPod — Reading a Market Gap and Building a Category
Apple didn't invent the MP3 player. It read the market correctly, made one decisive integration bet, and turned a crowded hardware category into a decade-long category leadership position.
Blinder — Designing for Depth in a Swipe-Left Market
Blinder was a dating app that tried to match people on personality and hobbies, not photos. Its UX didn't survive first contact with users — but the research process behind it is worth studying closely.
Box — The Culture Aaron Levie Built
How Box scaled from a consumer file-sharing startup to an enterprise content platform — and what the cultural decisions along the way tell leaders about the relationship between product identity and organizational design.
Circa News — When a Good Idea Can't Find a Business Model
Circa launched in 2012 with a genuinely novel approach to digital news — atomic, object-oriented stories. It shut down in 2015. The idea was sound. The business model wasn't.
Classy Delicates — From Affiliate Site to Retail, and the Metrics That Follow
A business school professor bought an online lingerie affiliate site for $30K and turned it into a retail operation. Six weeks after relaunch, business was almost non-existent. A case in e-commerce metrics and growth diagnostics.
Cursor — The AI Code Editor That Competed with GitHub
How a two-year-old startup wrapped an LLM API into a defensible coding product that challenged GitHub Copilot — and what the build/wrap decision looked like from the inside.
Evolution of Dropbox — Eight Years of Execution Choices
Dropbox's product history is a lesson in what happens when a simple, beloved consumer experience meets the pressure to become an enterprise company.
Facebook — Data, Privacy, and the Tension at the Core of a Social Network
Facebook's business depends on knowing more about you than you'd consciously share. The product that generates this intelligence is the social graph itself. A case in data ethics, advertising architecture, and the PM's role in navigating them.
FedEx — Pioneering Internet Business in Global Logistics
FedEx launched its website in 1994 — before most companies knew what "e-commerce" meant. How the world's leading logistics company used internet technology to build competitive advantages that took competitors years to match.
Food Tech Wars — India's Competitive Landscape, 2015-2017
After 150+ food-tech startups folded in 2016, the Indian market was still standing — and more crowded than ever. A case on reading a competitive landscape before building your product.
Foursquare — The Right Bet at the Wrong Time
How Foursquare pioneered location-aware discovery, then spent a decade trying to find the business that matched the technology it had already built.
Google — From Search Engine to Value Creation Machine
Google started as a university project called Backrub. Its path from 1998 search engine to one of the five most valuable companies in the world is a study in how organisational structure enables product innovation at scale.
Google Ads — When Innovation Is a Profit Model, Not a Feature
The AdWords auction didn't just monetize search — it redefined what "product innovation" means when the product is a marketplace between attention and intent.
Harvey — Vertical AI for a High-Stakes Profession
How Harvey built legal AI that large law firms actually trust — the eval design, auditability, workflow integration, and buyer trust decisions that vertical AI requires when the cost of a wrong answer is a malpractice claim.
Heckyl — Building a News Intelligence Product for Traders, Out of Mumbai
Four ex-Merrill Lynch executives built a financial data analytics platform in India in 2010 — before big data was a mainstream category. A case in data product design and analytics for PMs.
How Netflix Took Down Blockbuster
Netflix didn't win on technology or selection — it won by rethinking the business model, and then again by abandoning the business model that had just worked.
Instagram — The Influencer Economy and Product Portfolio at Scale
Instagram's journey from photo-sharing app to a $100B+ advertising platform is inseparable from the rise of the influencer economy. A case in product portfolio design at massive scale.
LinkedIn Live — Launching a Platform Feature Under Trust Constraints
LinkedIn's 700M professional user base wanted live video. The product team wanted engagement. Trust and safety stood between both. A case in feature launch with high reputational stakes.
Marks and Spencer — ICOS and the Integration of Retail Operations
M&S had a complaints backlog and order processing problems. Their solution was ICOS — an integrated ordering system that unified online, phone, and in-store purchasing. A case in systems design and retail technology integration.
Notion AI — Adding Intelligence Without Breaking Trust
How Notion introduced AI writing assistance into a product where people store their most important thinking — and the onboarding, opt-in design, and data handling decisions that determined whether users accepted or rejected it.
PayPal — Data Science as the Foundation of a Financial Trust Product
PayPal processes hundreds of billions in payments annually. The product that makes this possible is invisible to most users — a real-time fraud detection engine built on machine learning. A case in data science as product strategy.
Perplexity — Search Rewritten as Conversation
How Perplexity replaced a link list with a generated answer, and what the citation discipline, hallucination handling, and monetisation decisions looked like from a product perspective.
Pets.com — The Original Right Idea, Wrong Decade
Pets.com had a real product insight and real demand — it simply tried to build a 2010 business in 1999, with 1999 infrastructure and 2010's cost structure.
Pricing Strategy for Swiggy — Decisions Inside a Marketplace
How India's leading food-delivery platform navigated the pricing tension between platform take rate, restaurant margins, and consumer affordability — and what it reveals about marketplace pricing in practice.
Replit Agent — What Multi-Step Orchestration Looks Like When It Ships
In 2024 Replit shipped a multi-step agentic coding system that could plan, execute sub-tasks, handle failures mid-sequence, and stop itself before doing irreversible damage. A case in how orchestration choices — what runs in parallel, what gates on confirmation, how state passes between agents — are product decisions, not architecture footnotes.
ShareChat — From WhatsApp Content Tool to India's Vernacular Social Platform
ShareChat started in 2015 as a way to find shareable content for WhatsApp. By 2021, Google was reportedly in talks to acquire it for $1.03 billion. The path between those two points is a product roadmap study.
Specialty Metals Inc — Measuring the Value of a B2B Website
When a small US metals distributor launched a website in 2008 with no shopping cart, measuring its value was genuinely hard. A case in B2B website KPIs and the difference between traffic and business impact.
Starbucks — Building Community at Scale Through Social Media
Starbucks had 17,000 stores in 49 countries and prices higher than the market average. Social media was how they turned a commodity product into a cultural identity — and kept customers coming back.
Tata Steel — The Corus Acquisition and What $12 Billion Buys
Tata Steel paid $12.15 billion for Corus in 2007, jumping from the 56th to the 6th largest steel producer in the world overnight. A case in M&A strategy, integration, and what a product manager's role looks like post-acquisition.
Thieve.co — Go-to-Market Under Real Constraints
How a small team launched a product into a competitive discovery market using organic channels and community trust rather than paid acquisition — and what a senior PM takes from a constrained GTM.
Ticket Sales Inc — Entering a Market with Entrenched Competitors
TSI had seed funding, a smart bulk-purchase model, and a gap in the Broadway theatre ticket market. A case in applying product lifecycle thinking and SDLC methodology selection to a competitive market entry.
Topdox — Metrics at Series A, and Why the Wrong Ones Kill You
Topdox built a genuinely useful document collaboration platform out of Lisbon. It raised €1M, had real users, and shut down in 2015. The question it couldn't answer was what to measure.
Twitter Verification — When Product Design Conflates Two Different Jobs
Twitter's blue checkmark was meant to authenticate identity. It became a celebrity perk. When both meanings collided in 2017, the product team had no coherent answer — because the original design had never chosen one.
Urban Company — Rebuilding Trust After COVID Disrupted Home Services
Urban Company survived COVID but emerged into a world where users' expectations had fundamentally shifted. Safety was no longer a differentiator — it was table stakes. A case in product-led trust recovery.
Vedantu — Defining the Product at an Inflection Point
When Vedantu raised its Series A in 2017, the hardest question wasn't how to scale — it was what, exactly, the product was. A case in product portfolio clarity for edtech startups.