Marty Cagan argues that the concept of a "requirement" is misleading in product work. What stakeholders and customers present as requirements are often untested assumptions or guesses about an underlying problem, while…
“Listen to this episode on: Spotify | Apple Podcasts Only 10% of the plastic we manufacture gets recycled. We've been trying to solve this for a hundred years using the same mechanical and chemical tools that created the problem. What if biology—specifically, engineered enzymes—is the missing piece? In”
Teresa Torres reviews 2022, when her business shifted to being course-first and reached far more people than one-on-one coaching ever could. She describes the grind of the pandemic years, including launching several…
Lenny Rachitsky lays out a three-part approach to preparing for product manager interviews: research the product, company and interview process; practice with real people through mock interviews and coaching; and study…
Teresa Torres describes how a weekend of family play turned her from a mobile-game holdout into a heavy user of Words with Friends, Draw Something, and Scramble. She uses a 2012 Journal of Product Innovation Management…
Lenny answers a reader's question about keeping support for a long-term 'big bet' project at a large company. His core argument is that steady, visible wins (the 80/20 split of incremental work and high-risk work) earn…
This page is a curated index from SVPG, Marty Cagan's product consultancy, collecting its writing and videos on how generative AI affects product teams. Rather than a single argument, it groups prior pieces by theme…
Lenny Rachitsky and Palle Broe analyze how 44 application-layer tech incumbents monetize AI features, comparing direct and indirect strategies. They argue direct monetization (add-ons, standalone products, or plan…
Marty Cagan argues that the word "beta" has become so ambiguous that its meaning depends on what a team is trying to accomplish. He describes four distinct uses: a QA phase handled with real users, a gentle deployment…
John Cutler argues that organizations measuring AI success often fixate on the wrong denominator, counting outputs or usage rather than the outcomes that actually matter. The piece is framed around a simple model for…
"Having to set up and fiddle with your loops… I don't think this is the way that it's going to work." @thsottiaux (Head of ChatGPT & Codex) says we are heading towards Dots being the primary way you talk to AI. Full conversation:
A data-driven deep dive into Y Combinator's roughly 4,900 companies, examining survival, exits, unicorn rates, funding, geography, and founder traits. The core argument is that YC's edge lies in picking strong founders…
The essay argues that AI does not remove the core difficulties of product and engineering work, namely complexity, coupling, coordination costs, uncertainty, and system decay. What AI changes is the cost, speed, and…
Teresa Torres interviews four members of Medable, a clinical trial platform company, about building Agent Studio, a no-code/low-code platform for configuring and deploying AI agents across the clinical trial lifecycle…
How do you build trustworthy AI diagnostic tools in one of medicine's most historically under-researched areas? In this episode of Just Now Possible, Teresa Torres talks with Tulsi Patel (Director of Product and Technology), Lorna Brightmore (Head of Data and AI), and Jack Pickard (Head of…
Julie Zhuo reflects on Muse, a consumer AI agent she believes could actually change people's everyday habits. The essay, which is paywalled, argues that a few specific design choices explain why personal AI might…
Teresa Torres defends Facebook's 2014 emotional contagion study, published in PNAS, arguing that experimenting on users is standard practice for internet products and that the backlash is overblown. She contends the…