Your team just spent three weeks perfecting the UX of a feature that nobody needs. Meanwhile, your competitor just launched a clunky - or thanks to AI coding an okayish - but valuable solution that's stealing your customers. This scenario plays out daily across product teams worldwide, driven by a dangerous obsession with perfect usability over actual value. It's time for some uncomfortable truths about what actually drives product success.

"Should I use Impact Mapping or an Opportunity Solution Tree (OST)?" My answer is always: “Why not use both?” Here's how I combine them.

speed without understanding isn't progress, it’s just a faster feature factory. AI can make this worse if you ship without thinking, because it makes building faster while doing nothing to improve your ability to know whether what you're building is actually worth building. That makes it an even faster feature factory. My most favourite 7 principles from the Makers Manifesto work against this trap.

AI adoption at Alasco. From AI resistance over building features with AI to building AI powered features - Julia Bastian talks us through the phases of AI adoption at Alasco and the negative aspects that you need to find an answer for as an organisation.

We decided to NOT be silent and take a stand. And you can join us. When you watch things shift around you, you have opinions, but tell yourself you shouldn't make a big declaration, someone more senior, more visible, with more leverage should do it, it turns out to be the wrong decision. Because this is exactly how fundamentals get eroded. Let's do something about it.

AI adoption at Doist. Ten years ago, Amir Salihefendic, Doist's CEO and founder, wrote a piece about what he saw as the foundational pillars of this remote company's future, AI being one. Then ChatGPT and other LLMs arrived, Doist finally got the technology to match a mindset they'd had for years.