Interesting topic, I’m enjoying the thread. Just a bit of background, as one of my hats I’m CFO of a business that’s doing some amazing things with AI / ML. AI itself is fascinating, but AI alone makes a horrible product. In fact, the AI engine itself is essentially just a dumb software program. You need a) tons of b) high-quality c) relevant data, and to get that you need d) subject matter experts that e) understand how to build and manage a data assets team, and then you need f) a great team of developers/designers to get the UX/UI right.
I’m not surprised at all at what TR is doing - the approach makes sense, especially since they have the perfect data set to build from. Zwift almost certainly has more raw data, but far less of it will be actually useful.
I’ve always loved TR’s approach. In-person coaching is great, and probably still a must to squeeze out the last 5-10% of potential. But for 99% of us, that’s nowhere near relevant. 99% of us aren’t professional athletes. So a basic plan that can get a big chunk of the way there? That’s awesome, and - as a business - it scales. Coaches with humans simply doesn’t scale, your constraint is time. It’s why you end up getting coaches that get too busy so they copy/paste plans from one athlete and send it to another athlete…but forget to swap out the name…
The downside to TR’s approach, as alluded to by the recent Dylan Johnson video: It really only suits the big, fat middle of the bell curve. Sure, that’s like 68% of people within two standard deviations of the mean, but it means over 30% won’t really be suited, and -everyone- would benefit from individually tailored plans…that up until now you could only get from expensive coaching. That’s what makes what TR is doing so exciting.
I have tried to use Xert a few times in the past, and I really really wanted it to work: it was obvious that this type of AI-driven refinement to individualize training was the way forward. Unfortunately I found the Xert interface cluttered and hard to use – the exact opposite of intuitive, getting the workouts to work was problematic, and the whole process was just so convoluted that I didn’t want to waste any more time trying to figure it out.
I think (DC Rainmaker?) expressed it best, it’s better (for the company and the end-user) to have a good product with an amazing UI/UX, than a great product with a bad UI/UX. What’s the point of having a great product that nobody can figure out how it works?
IIRC Nate’s background was in software; it shows. TR’s app has always been extremely clean and intuitive. This is really just the first step in what is going to be some really really cool developments ove the next few years. A massive hats-off to the TR team. They’ll be some hiccups along the way, because it’s not clear yet what will and won’t work but you’re going about it the right way.
Will also add that this is another nail in the coffin that will probably slowly bury FTP. The only reason FTP is such a big thing is because it was the first ‘simple and intuitive’ way to measure performance / progress. It’s a shame that the way it was introduced resulted in people focusing on only the ‘power’ aspect; the ‘duration’ aspect gets overlooked. FTP was our first scientific vocabulary to talk about cycling performance. WKO / Training Peaks has made gradual progress in extending it - TTE (time to exhaustion, stamina etc.). The biggest issue people have with WKO of course is that casual users forget that the model needs to see *max efforts across the range of durations to be accurate. What’s nice about the TR approach is that the frequent Ramp Test is an easier and more reliable measure of progress most of the time, since it’s repeatable (greater consistency from test to test).
Going forward, we’ll be able to have performance and progress metrics that -make sense to us individually-, that fits our priorities and our goals.