Colin McFarland is a legend of experimentation. I’ve watched his videos and read his blog posts, so I was really looking forward to getting in-depth with some of his thoughts and experiences in this book. It IS good, don’t get me wrong - I highlighted quite a lot of pages (which I’ve made public) - but I also wish he’d been able to give more specific and detailed examples from his experience. I feel like I absorbed a lot of general advice on how to start out through to embedding a culture of experimentation, but I’d still get stuck at specific hurdles around designing good experiments and interpreting the data correctly. I’d like to learn, for example, from badly done experiments and dissect what went wrong and why, and then compare that to a better one. I think maybe I’m asking too much from what is essentially a short introduction (otherwise I guess it could get mega mathsy) and as that it does succeed. I’d say it’s worth a read and then you can check out his meatier stuff online.