🤔 How do we actually measure AI adoption for product managers and designers? It's a tough question. We need to make sure AI is driving real progress, not just letting us follow vanity metrics 📈 or play with new AI gadgets 🤖. I drafted some thoughts on this. It's still under construction and far from perfect, but I'm sharing it in case it sparks some ideas. 👉 https://adamfaik.substack.com/p/how-to-measure-ai-adoption-in-a-product Feel free to share your own experiences!

Totally agree, @Adam Faik— most teams are still tracking AI activity, not AI impact. Adoption metrics only matter when they tie back to delivery, reliability, and quality outcomes. Worth a look if you’re thinking about measuring AI impact beyond adoption rate: https://www.cortex.io/post/understand-how-ai-is-affecting-your-engineering-team-with-cortex-ai-impact-dashboard

Many thanks @Gwyn Barry 🙏