Latest AI and tech news
From statistical evidence to product decisions: economic significance, Simpson’s paradox, ITT, p-hacking, and the limits of optimization...
Rutherford Wilson, our Chief Product Officer, started his FABTECH session the way he starts most of them: by asking the room a question. Who here uses an AI tool as part of their job? Almost every hand went up. What do you use it for? Spreadsheets, s...
On July 24, 2026, three days after ScreenWeaver opened its beta, Thibaut added one feature flag to the codebase. It was called video-generation. For the next 77 days, anyone outside our team who clicked the Production tab got a placeholder screen ins...
The surfaces you work in every day are faster and cleaner, the agents working alongside you are finally visible and measurable, and admins can set good defaults once...
A conversation between Thomas Rollin (Head of AI and Data Science, Colas Group), Frédéric Brenner (Group Data Office, Crédit Mutuel Arkéa), Gwendal Bihan (Co-founder and President, Axionable) and Nicolas Averseng (Chief Product Officer, DataGalaxy), ...
Looking for OneDesk alternatives? Compare 7 tools for customer support and project management, including their prices, useful features, and limitations.
Most businesses evaluate customer value based solely on upfront ticket sales. The New York Red Bulls tested that assumption and discovered that evaluating total matchday engagement offers a far more accurate picture of fan value.
I regularly see early-stage tech founders fixated entirely on their product roadmaps, user acquisition costs, and server architecture. When a term sheet finally arrives from an overseas angel syndicate or a cross-border incubator, the immediate insti...
A few months ago, a product manager at an agency reached out to us. They had built a client reporting app over a weekend using an AI coding tool and made it live so customers could try it. It worked great until we found that authentication was broken...
Adam Kovac, writing for Scientific American, reports on an amateur astronomer who used AI agents to pull a possible exoplanet out of public NASA data. Pavel Rabtsevich, a product manager based in Spain, ran a custom machine learning setup over more t...
Get an overview of the top PMM tools, including pros and cons, pricing, and real feedback from G2 and Reddit to see if they belong in your stack.
Blair Metcalf is the principal UX engineer at Reddit and the creator of Reddit Proto, an internal platform that helps designers and product managers build production-like prototypes without touching GitHub. In this episode, he shows how the system co...
The export button was complete. So were the endpoint, the worker, and the dashboard. The customer still needed a spreadsheet from support....
You don’t need a revolutionary idea or thousands of lines of code. You need to solve a problem that someone genuinely wants solved....
A few years ago, software development was linear – every team had a well scoped role. Product Managers decided requirements, engineers wrote code, QA tested and gave the green signal. Agile started to blur the boundaries, we started thinking of bui...
I used to spend hours translating vague feature requests into acceptance criteria, edge cases, and test cases. Then I realized the real…...
AI-assisted coding has made building internal software faster and more accessible. An engineer can now use generative AI to create a working requirements management application without the development effort that would have been necessary just a few ...
App users rarely announce that they’re losing interest. They skip a session, leave onboarding unfinished, or stop using the feature that once made the app useful. By the time they uninstall, the practical opportunity to intervene may have passed. Eff...
An install creates an opportunity, not a relationship. Mobile marketers still need to help each new user reach a useful outcome and return for another. Retention improves when product and marketing teams shorten the path to value, support repeat beha...
Product teams are usually good at defining what they want to improve: paid conversion, engagement, churn, search success, or transaction completion. The harder question is not what to optimize. It is: what behavior must change elsewhere in the system...
Keep it safe, keep it small, keep it concrete: How a “someday project” finally shipped...
A Van Westendorp study exists to answer one question: what price range will the market accept for this product, and where inside that range should we launch? It asks each respondent four prices for a product: too cheap to trust, cheap but still good ...
How product teams can make verification feel clearer without weakening the controls behind it...
Head of Threat Intelligence // Sr. Director, Product Management