Jeff Gothelf

This is the second summer in a row that I'm handing you a clip show. Last August I pulled together the best 14 product management resources from this blog, a list of the canvases, templates and frameworks that had accumulated here over 15 years of writing

Nearly every customer interview technique rests on the idea that the person across from you has already done the thing you are asking about. In fact, the magic question we suggest to teams all the time is, "Tell me about the last time you had to do x?" Th

This week's blog post was inspired by the webinar we did last week with Barry O'Reilly. Barry is a long-time friend and colleague. Besides being an accomplished author of 3 amazing books, Barry is the co-founder of Nobody Studios, an executive coach and a

A note about the scope of this article: this post is about the product feedback loop that PMs and their teams collect and act on. It's not about model evaluation pipelines; if you're looking for the engineering side of that, this evals explainer is a good

Almost every prioritization framework we use (RICE, weighted shortest job first, the humble value-versus-effort quadrant) was built to protect what was once the scarcest resource of all, engineering time. It's consistent across all of these models. The ef

Before you read this post I wanted to note that I do not cover Objectives in this article. The reason is that without context it's difficult to provide an example that would resonate broadly in a short blog post. So this article focuses solely on key resu

That MIT stat is going around again about how some enormous share of enterprise AI pilots never make it past proof of concept. I keep seeing it waved around as proof that the technology is overhyped and it might be (at least the expected timeframe and sco

We work with a lot of enterprise level teams who are eager to deploy and integrate AI tools and tech into their teams. Naturally, they first reach for training that focuses on how to use the tools. This makes a ton of sense and often takes a consistent pa

Last week, news broke that Amazon is measuring its employees on how many AI tokens they consume. Within days, employees responded the way employees always respond to a metric they don't believe in and are forced to track. They started gaming it. Internal

Ah, the good old days of sprint reviews.Engineering says they shipped something. All tests passed. No P0 bugs. The demo worked like a charm. "Works as designed" had been achieved once again. Sadly, we don't have the luxury of this simplicity any more (if