“This post is part of a series about making better product decisions. One of the most common questions I get at my company, is why don't we have a mobile app. We are in the age of mobile, how can we possibly survive without a mobile app? There are”
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…
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…
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…
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…
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…
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…
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…
Caitlin Sullivan, a user-research practitioner, explains four recurring ways AI-generated customer analysis goes wrong: invented or blended quotes, generic insights, signal that doesn't guide decisions, and missed…
Teresa Torres argues that the Lean Startup loop of Build, Measure, Learn starts in the wrong place, and that teams should instead Learn, Build, Measure. Building first means writing code for features that often fail…
Teresa Torres argues that a common mistake among teams new to Lean Startup methods is substituting experimentation for judgment, testing options like folders versus tags without first reasoning about which is most…
Teresa Torres argues that product managers often fall into a throughput mindset, filling backlogs and keeping engineers busy rather than driving outcomes. She identifies three recurring failures: not starting from a…
Teresa Torres introduces the Ladder of Evidence, a framework for judging how reliable customer feedback is. Asking people what they would do in the future, as focus groups and surveys often do, yields weak signal…
Lenny argues that most teams should skip elaborate prioritization frameworks and use a simple impact-versus-cost sort of T-shirt-sized ideas, then refine it with team input. He stresses that the roadmap must follow a…
Marty Cagan argues that testing high-fidelity prototypes with real users is the most important activity a product manager performs, because it reveals whether people can use a product and whether they want it before…
This podcast episode features three leaders from Zencity, a company that helps local governments understand residents by combining survey data, 311 calls, social media, and local news into one platform. The conversation…
Teresa Torres argues that once a product's success funnel converts well, the next step is growth, but only after that funnel is healthy; otherwise acquiring users just wastes time, energy and money. She introduces two…
Part two of a PLG guide by Hila Qu covers the fourth and fifth steps of launching a product-led growth motion: setting up infrastructure and tooling, then building the team. The core argument is that PLG is…
Teresa Torres argues that product managers make dozens of decisions daily and tend to feel confident about them, yet decision research shows people often make poor choices while believing they are sound. Our minds are…
Teresa Torres traces how product discovery has evolved over roughly two decades, from long requirements documents and shipping flops like Windows ME toward experiment-driven, customer-centered practice. She argues that…
Teresa Torres argues that many product managers remain unaware of a fundamental shift toward modern product discovery, despite the Lean Startup and design thinking having been around for years. She observes that many…