“Last Wednesday I put out this call to product managers to participate in a research study about the life of a product manager. I am overwhelmed by the response. In the first 48 hours, I have 90 responses. I was initially thinking that I would interview 9–12 people. But”
💭 "I wish I could click on this card and be like, 'Clean this up.'" When a customer pointed out a flat, unstructured branch in her AI-generated opportunity solution tree, it sparked a three-week journey to fix the problem at its source. Here's what you'll learn from this article: How one customer…
Teresa Torres interviews Matthias and Charlotte Kleverud, co-founders of Momental, about building a "GitHub for product management" that ingests documents, transcripts and recordings to map goals, decisions and…
This Product in Practice piece profiles Chris Hockley, a lean agile coach at SuperAwesome, who introduced the opportunity solution tree to several product teams through a staggered rollout. He found that teams grasped…
Teresa Torres argues that product teams often fall for confirmation bias: people notice evidence that supports their ideas and overlook disconfirming signals, even when given the same data. Her example shows how…
Hamel Husain and Shreya Shankar outline a practical playbook for building AI evaluation systems that improve a product rather than just producing dashboards. The core argument is to start with error analysis by a domain…
Behavioral scientist Kristen Berman argues that people often act against their own intentions, and that behavioral design, which blends psychology and economics, can help product teams close the gap between intent and…
Teresa Torres introduces a new series, Conversations with Claude, showing how she uses Claude Code for real work. Her first example is a content audit of Product Talk, which she delegated to Claude with a task file and…
Part five of a six-part series on building a consumer business, focused on retention and finding product-market fit. The post argues PMF is a spectrum of confidence, signaled by flattening retention curves, organic…
Teresa Torres interviews SallyAnn DeLucia and Jack Zhou of Arize AI about building Alyx, the AI agent that helps teams debug, optimize, and evaluate AI applications. The team describes scrappy beginnings in Jupyter…
Teresa Torres argues that AI evals should be a core discovery habit for product teams, not just an engineering concern. Because LLM outputs are probabilistic and semantic, traditional pass/fail unit tests don't work…
Teresa Torres examines the common push to build a mobile app and tests the assumption that it will drive growth. Stakeholders often justify the idea with broad beliefs about mobile usage, yet the data on typical app…
Lenny answers a reader question on how to split effort across conversion levers (focus, motivation, friction) and which tends to pay off most. He shares rules of thumb such as starting wide, mining past wins, and mixing…
Lenny Rachitsky, with OpenView and Pendo, benchmarks free-to-paid conversion from a survey of 1,000+ products, defining good and great rates for freemium, sales-assisted, and free-trial models. It argues conversion…
Teresa Torres introduces a practical test harness for running AI product evals. Manually running every input through a prompt, saving outputs, scoring them against evals, and repeating for each prompt variant is…
In this interview from Melissa Perri's CPO Accelerator series, Abbie Moore, CPO of the non-profit Adopt-A-Pet, explains that product leadership at a non-profit shares most fundamentals with for-profit work: customer…
Hila Qu, a growth advisor and former GitLab and Acorns growth leader, walks through how B2B companies can add a product-led growth (PLG) motion alongside sales. Her core argument is that PLG and sales are complementary…
Teresa Torres and Petra Wille explore AI evals: what they mean, why they matter beyond quality assurance, and how teams can build them. Drawing on Teresa's experience building the Interview Coach tool, the conversation…
Teresa Torres ran the inaugural CDH Benchmark survey, collecting responses from 1,999 product people across 78 countries to measure how many teams have adopted continuous discovery habits and whether those habits…
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…
Duolingo's VP of Engineering Sean Colombo shares five growth lessons from scaling daily active users from 5 million to nearly 30 million. The core argument is that urgency and fast experiment rollout compound growth…