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Data Optimized Training with Jeff Booher
7 Plays4 months ago
#497 Data Optimized Training with TriDot’s Jeff Booher
Welcome
Welcome to Episode #497 of the 303 Endurance Podcast. We're your hosts Coaches Rich Soares and April Spilde. Thanks for joining us for another week of news, coaching tips and discussion.
Show Sponsor: UCAN
UCAN created LIVSTEADY as an alternative to sugar based nutrition products. LIVSTEADY was purposefully designed to work with your body, delivering long-lasting energy you can feel. Whether UCAN Energy Powders, Bars or Gels, LIVSTEADY's unique time-release profile allows your body to access energy consistently throughout the day, unlocking your natural ability to finish stronger and recover more quickly!
In Today's Show
-
Announcements and News
-
Ask A Coach: Interview with Jeff Booher
-
TriDot Workout of the Week: Smooth Swim
-
Fun Segment: What about an “AI Training Fact or Falsehood” game?
Announcements and News:
Our Announcements are supported by VESPA Power today.
Endurance athletes—what if you could go farther, faster, and feel better doing it? With Vespa Power Endurance Nutrition, you can unlock your body’s natural fat-burning potential and fuel performance without the sugar crash. Vespa helps you tap into steady, clean energy—so you stay strong, focused, and in the zone longer.
Vespa is not fuel, but a metabolic catalyst that shifts your body to use more fat and less glycogen as your fuel source.
Less sugar. Higher performance. Faster recovery.
Home of Vespa Power Products | Optimizing Your Fat Metabolism
Use discount code - 303endurance20
Independence Day Pikes Peak Ride Jul 4, 2025
Join us for an invigorating bike ride from Santa’s Workshop at 7700 feet to the top of Pikes Peak at 14,111. 6800 feet of climbing in 18 miles.
Garmin Course - https://connect.garmin.com/modern/course/369763602
https://www.facebook.com/share/197vnpxkbc/
TriDot Pool School July 26-27. https://www.tridotpoolschool.com/component/eventbooking/pool-school/tridot-pool-school-20250726-844-986-401-167-857/94?Itemid=762
Ask A Coach Sponsor: G2G Endurance
Training alone is tough. Training smart? That’s where we come in. Grit2Greatness Endurance + TriDot gives you optimized training, the data, and the support to crush your goals—without burning out. Try it FREE for 2 weeks through our TriDot links below, then roll into your best season yet for as low as $14.99/month. With the right tools, you're unstoppable. Go to the show notes. Click the link. Let’s do this together!
Website - Grit2Greatness Endurance Coaching
Facebook page @grit2greatnessendurance
Coach April Spilde
April.spilde@tridot.com
TriDot Signup - https://app.tridot.com/onboard/sign-up/aprilspilde
RunDot Signup - https://app.rundot.com
Recommended
Transcript
Introduction to the Podcast
00:00:00
Speaker
a lot of big words used before artificial intelligence machine learning advanced analytics all of these things you know data mining such we use all of that to turn that raw data into from data to information to knowledge to wisdom so you can actually act on it welcome everybody to your 303 endurance podcast
00:00:25
Speaker
Aloha, everybody.
00:00:27
Speaker
Get ready for your 303 Endurance Podcast.
00:00:35
Speaker
Welcome to episode 497 of the 303 Endurance Podcast.
00:00:38
Speaker
We're your hosts, coaches, Rich Soares and April Spilde.
00:00:41
Speaker
Thanks for joining us for another week of endurance news, coaching tips and discussion, and an awesome interview with Jeff Boer, the CEO of Predictive Fitness.
00:00:52
Speaker
More on that in
Rich and April's Event Adventures
00:00:53
Speaker
a minute.
00:00:53
Speaker
Coach April, welcome.
00:00:55
Speaker
let's talk about Xterra Lori last week.
00:00:57
Speaker
That was so much fun, even though I think I have a broken rib.
00:01:01
Speaker
I'm surprised you're still talking to me, and I'm really happy that you said you had fun, because I felt like the worst friend after you told me you crashed and then walking away with a broken rib.
00:01:15
Speaker
So I got to say, Rich, you have
00:01:17
Speaker
You just upped your ante here with Pike's Peak.
00:01:22
Speaker
And also, I just want to say thank you for being my wingman at Lori.
00:01:27
Speaker
I had a blast.
00:01:29
Speaker
That was beautiful.
00:01:30
Speaker
It was such a fun day.
00:01:32
Speaker
The setting is amazing right there in Horsetooth Reservoir.
00:01:35
Speaker
You've got sunlit red rocks.
00:01:40
Speaker
Blue, beautiful.
00:01:42
Speaker
Protected bay.
00:01:45
Speaker
Yeah, swim was great.
00:01:46
Speaker
I had it all under control.
00:01:48
Speaker
In fact, I had a blistering swim for me, which was great.
00:01:52
Speaker
I had it all under control until I got on a mountain bike.
00:01:54
Speaker
Until you didn't.
00:01:55
Speaker
I don't know what the hell I'm doing on a rented mountain bike.
00:01:59
Speaker
Rich, do you want to tell the audience what time you showed up at our Airbnb ready to go?
00:02:04
Speaker
Yeah, it was pretty funny.
00:02:06
Speaker
I don't know how I had it wrong by more than a half an hour.
00:02:10
Speaker
I was supposed to be at your Airbnb at 4.45 in the morning.
00:02:15
Speaker
And somehow, and I thought it was like eight minutes early, my ETA ended up being like 4.10.
00:02:23
Speaker
Yeah.
00:02:28
Speaker
Needless to say, we got there in plenty of time and we had good parking, which was fantastic.
00:02:33
Speaker
As I like to say, there's no penalty for being early, except that Peter had to go take a shower still after I got there.
00:02:43
Speaker
That was a blast.
00:02:44
Speaker
Back to the bike.
00:02:46
Speaker
So I'm in the last wave because I did the whole first timer thing.
00:02:51
Speaker
So they put me in the back of the pack, which was really smart.
00:02:55
Speaker
But you get out there and there's a lot of athletes doing their second lap and they're the faster people who know what the heck they're doing.
00:03:01
Speaker
They really should put a pinwheel on the helmets of the first timers.
00:03:08
Speaker
I think everybody can tell.
00:03:09
Speaker
I had a lot of people trying to pass me.
00:03:11
Speaker
And the first wreck I had was this grass was like up to your shoulder in some places.
00:03:18
Speaker
And, you know, people would be trying to pass and be like, you know, like I'm waiting for a clear place to pull over.
00:03:23
Speaker
And finally, I would just like, I'll pull over.
00:03:25
Speaker
So I pulled over.
00:03:26
Speaker
And as soon as I pulled over, a big rock just emerged out of the ground, smack right into it, which was fine.
00:03:34
Speaker
I just got, you know, around that.
00:03:37
Speaker
And then the next one, it was on the second lap, I think.
00:03:40
Speaker
I was by myself.
00:03:41
Speaker
Like the second lap was a little quieter, not quite so chaotic, which was, thank God.
00:03:46
Speaker
But, you know, those little single track, the berm inside the single track.
00:03:51
Speaker
Yep.
00:03:52
Speaker
Your wheel gets too far to one side or the other.
00:03:55
Speaker
And all of a sudden you're in the air.
00:03:57
Speaker
Yes, you're flying out.
00:03:58
Speaker
Yep.
00:03:59
Speaker
And I landed in a patch of grass that I'm like, I was like glad there wasn't a big rock or anything.
00:04:05
Speaker
But I guess there must have been something underneath that.
00:04:08
Speaker
Because I did get up from it, like feeling it.
00:04:12
Speaker
I could tell that I had had an impact.
00:04:15
Speaker
But the adrenaline of being on the bike and the rest of the run, uphill and downhill.
00:04:19
Speaker
And the trail running was a lot of fun, too.
00:04:22
Speaker
I had one catch my toe moment where I almost went off the trail, where I did go off the trail, but fortunately it wasn't off a cliff.
00:04:29
Speaker
Otherwise, I mean, just had a freaking blast.
00:04:35
Speaker
I can just imagine.
00:04:37
Speaker
These little moments, right, where you're like, what the hell did I just do?
00:04:42
Speaker
And another moment of, man, this is so much fun.
00:04:45
Speaker
I'm sure there was a lot of that, like, roller coaster of emotions.
00:04:51
Speaker
What terrified me on the bike was, like, my skills aren't that great.
00:04:55
Speaker
So, like, there'd be a lot of corners and all of a sudden there's a rock, you know, or there was, you know, some, you know, like...
00:05:04
Speaker
There's only really one spot where people got hung up.
00:05:08
Speaker
And the first one, it got backlogged and I couldn't have made it even if I had, you know, been free and clear probably.
00:05:15
Speaker
The second lap, I came around and I almost cleared it.
00:05:17
Speaker
It was just a little patchy thing of rocks that, you know,
00:05:20
Speaker
Yeah, I just want to, again, clap you on the back without hurting the rib.
00:05:25
Speaker
I think you did phenomenal.
00:05:27
Speaker
I'm so glad that you heartily embraced the first-timer vibe.
00:05:33
Speaker
I think that...
00:05:35
Speaker
Everything from start to finish, even though there were a couple of crashes, I think you just really embodied an excellent sportsman.
00:05:46
Speaker
So thanks for introducing me to it.
00:05:47
Speaker
It's I can see why you like it.
00:05:49
Speaker
It's it's for adrenaline junkies.
00:05:52
Speaker
Yeah, it is.
00:05:52
Speaker
It really is.
00:05:53
Speaker
And, you know, when I told you it's it's it's a high octane roller coaster.
00:05:58
Speaker
You responded with like I can't remember exactly, but I got this.
Coaching Insights and Empathy
00:06:04
Speaker
Yeah.
00:06:04
Speaker
Yeah.
00:06:07
Speaker
But one thing that I really love that came out of this when we had our coaching call after Lori, you brought up like, I just have a much greater appreciation for what you're doing now.
00:06:19
Speaker
And I see this goal of world championships next year as why this is important to you.
00:06:26
Speaker
And I can relate this now to the training that is going to take place, the mindset, the skills, the
00:06:35
Speaker
No fear, really.
00:06:36
Speaker
Why courage is my word, right?
00:06:38
Speaker
Because this is, there were some white knuckle moments.
00:06:43
Speaker
right?
00:06:43
Speaker
I had a couple of white knuckle moments.
00:06:45
Speaker
I tripped on the trail as I was running down and I was, I was hoofing it.
00:06:51
Speaker
And I scared myself because I thought I was going to go face first into a rock.
00:06:56
Speaker
And thankfully that didn't happen.
00:06:58
Speaker
I was able to regain my balance, but those moments are like, wow, I guess I need to pick up my feet a little bit more or just slow down in here.
00:07:06
Speaker
So I'm not putting myself at risk of
00:07:09
Speaker
of going over a cliff because it really was, I loved how you call it like a lollipop.
00:07:14
Speaker
It was that we were literally running up and running down the mountainside.
00:07:19
Speaker
And, uh, it is one of the hardest, uh, run, uh, terrain in the Xterra circuit.
00:07:26
Speaker
And it's, it is amazing for a reason.
00:07:29
Speaker
But I'm so glad that we got to experience that together.
00:07:31
Speaker
I learned a lot about myself.
00:07:33
Speaker
I learned a lot about you, Rich.
00:07:35
Speaker
And just I want to share that mutual appreciation that we got to do this together and that you faced a lot of challenges and overcame in a really spectacular way.
00:07:47
Speaker
Yeah.
00:07:48
Speaker
Well, thank you for bringing up the
00:07:53
Speaker
I call it the empathy now that I have as a coach for what you're doing and the respect.
00:07:59
Speaker
I have a better understanding of the scale of what it is.
00:08:03
Speaker
And as you said, some of the skills and then that helps me to better hear you when you're describing what your goals are and what some of your challenges are.
00:08:15
Speaker
And I'm, oh yeah, I can get that a little better having sort of been in your shoes a little bit.
00:08:23
Speaker
Yeah.
00:08:23
Speaker
So anyway, yeah.
AI in Endurance Training
00:08:26
Speaker
So that's just the intro to our show, folks.
00:08:29
Speaker
How about that?
00:08:30
Speaker
How about we give a shout out?
00:08:32
Speaker
We got a lot of great stuff to get to.
00:08:34
Speaker
This interview is absolutely freaking amazing.
00:08:36
Speaker
So the inspiration behind this, just so you know, is...
00:08:41
Speaker
We're in the triathlon world.
00:08:42
Speaker
We're in the running world.
00:08:44
Speaker
We talk to coaches.
00:08:45
Speaker
We talk to athletes.
00:08:47
Speaker
We obviously have sort of drank the Kool-Aid, if you will, as TriDot coaches.
00:08:53
Speaker
But we also understand it, you know, and I also understand what it's like to not coach on TriDot.
00:08:59
Speaker
And what we wanted to do was have a conversation and have a conversation from, you know, if you're skeptical about it or if you've embraced, you know, AI and, you know, the, you know, machine learning, you know, assisted training programs, data-driven programs, if you've embraced that, you're going to really learn a lot today.
00:09:20
Speaker
If you are a skeptic, hopefully you'll hear in our questions, we're trying to ask the questions in your voice, you know,
00:09:27
Speaker
so that you can hear the answer that you would be expecting or hoping to hear the answer to instead of us polishing it up.
00:09:34
Speaker
So anyway, that's what we're going to get into in just a minute.
00:09:37
Speaker
But before we do, let's give a shout out to our show sponsor, Generation UCAN.
00:09:41
Speaker
UCAN created Live Steady as an alternative to sugar-based nutrition products.
00:09:45
Speaker
LiveSteady was purposely designed to work with your body, delivering long-lasting energy that you can feel.
00:09:50
Speaker
Whether it's you can energy powders, bars, or gels, LiveSteady's unique time-release profile allows your body to access energy consistently throughout the day, unlocking your natural ability to finish stronger and recover more quickly.
00:10:03
Speaker
Yes, and in today's show, we have our announcements and news.
00:10:07
Speaker
We're going to bring in our Ask a Coach section with our amazing interview with Jeff Boer.
00:10:12
Speaker
And then I will be bringing in, excuse me, the Try It Out Workout of the Week with Jeff.
00:10:19
Speaker
So he gets to critique my explanation.
00:10:23
Speaker
This is great.
00:10:25
Speaker
I'm just bright red even talking about it of my workout, which is we're going to talk about the Smooth Swim.
00:10:32
Speaker
And then we have an awesome fun segment where we put Jeff in the host seat.
00:10:37
Speaker
We did a lot of grilling with him earlier and he gets to be put in the host seat as our fun segment rollout for AI training fact or trash game.
00:10:52
Speaker
So excited for that.
00:10:54
Speaker
Awesome.
00:10:55
Speaker
Awesome.
00:10:55
Speaker
Awesome.
00:10:56
Speaker
All right.
00:10:57
Speaker
So we are going to get into our announcements and news first.
00:11:02
Speaker
before we get into our announcement and news just want to give a shout out to vespa our sponsor for this segment we have been partnering with vespa for the summer it was we've been doing our camps and we have found with our athletes that is really helping them train and race with
00:11:23
Speaker
less carbohydrate, less, fewer gels.
00:11:27
Speaker
They're able to, you know, use Vespa to shift their metabolism to more fat burning.
00:11:33
Speaker
And that helps them with their whole race execution and their nutrition plan to be able to basically perform
00:11:40
Speaker
better with less carbohydrate and sugar.
00:11:44
Speaker
So if you want to stay strong, focused and in the zone longer, Vespa is not fuel.
00:11:48
Speaker
It's a metabolic catalyst.
00:11:50
Speaker
Again, that shifts your body to use more fat and less glycogen as your fuel source.
00:11:55
Speaker
Check it out.
00:11:56
Speaker
We've got a link here in the show notes.
00:11:58
Speaker
And also there's a discount code in here for any of our 303 listeners.
00:12:01
Speaker
303 Endurance 20 will get you 20% off of anything in your cart on your first order.
00:12:08
Speaker
So check it out.
00:12:09
Speaker
We're really proud of our partnership with them.
00:12:11
Speaker
We both used Vespa for our race.
00:12:15
Speaker
You did the CV25 and a junior just prior, right?
00:12:21
Speaker
Correct.
00:12:22
Speaker
Yep.
00:12:23
Speaker
I did a CV 25 about 45 minutes and then about two minutes prior to swim the swim start.
00:12:31
Speaker
I took in a junior and then I took in another CV 25 on the bike and crushed it.
00:12:38
Speaker
Rich, I, I didn't mention this, but from this year's result to last year, the difference made was just over 13 minutes.
00:12:48
Speaker
And I was so proud of that because I dropped a minute on the swim.
00:12:53
Speaker
And I think I dropped seven minutes on the bike portion.
00:12:58
Speaker
So I had a massive gain.
00:13:00
Speaker
And it was just great because I felt, I smiled from start to finish, one, because I felt amazing.
00:13:08
Speaker
And then my results showed great.
00:13:12
Speaker
how well, one, I executed my training up to that point, and then two, the power of Vespa.
00:13:18
Speaker
I used less than, it was like 50% of what I usually use.
00:13:24
Speaker
So it just goes to show you how powerful this is.
00:13:29
Speaker
I had one gel on that entire race.
00:13:31
Speaker
Incredible.
00:13:32
Speaker
Oh my gosh.
00:13:34
Speaker
And I did take a junior on the bike, but it was very hectic for me to try to take that.
00:13:40
Speaker
Like you're going down the trail.
00:13:41
Speaker
I wish I could have seen that.
00:13:43
Speaker
And I had, the first thing I had to do is just take it out and just get it in my mouth and hold it in my teeth.
00:13:48
Speaker
And then all of a sudden it got into this hairy section and I'm like trying to keep from dropping it as I'm like holding it in my teeth.
00:13:54
Speaker
Oh God, oh God, oh God.
00:13:55
Speaker
And then I'm like straightened out and then I'm like trying to take off the cap and, you know,
00:13:59
Speaker
It was hilarious.
00:14:00
Speaker
I wish we could have got a picture of that.
00:14:01
Speaker
That's amazing.
00:14:04
Speaker
Anyway, thank you, Vespa.
00:14:09
Speaker
Endurance Day, Pikes Peak Ride.
00:14:11
Speaker
Anybody who's interested, 4th of July, we know you have it off.
00:14:15
Speaker
We know there are no fireworks at 7 in the morning.
00:14:18
Speaker
Come join us.
00:14:20
Speaker
We're going to be parking just outside of the gate.
00:14:24
Speaker
You want to come up there basically just past Santa's workshop.
00:14:28
Speaker
We're going to start at 7 o'clock in the morning.
00:14:31
Speaker
The gates open at 7.30, but you want to get there at 7.
00:14:34
Speaker
You get there at 7, you can park just outside the gate.
00:14:36
Speaker
There won't be any competition that early.
00:14:39
Speaker
Just unload your bikes.
00:14:40
Speaker
We're right there at the gate when the gate's open.
00:14:42
Speaker
We're like, get right in line and we get off.
00:14:45
Speaker
And you want to get an early start because you want to get up and down before the weather comes in.
00:14:49
Speaker
I'd love to have you join us.
00:14:50
Speaker
We're going to be doing 6,800 feet of climbing in 18 miles.
00:14:55
Speaker
The Garmin course is in the show notes.
00:14:58
Speaker
It's going to be an absolute blast.
00:15:00
Speaker
Then...
00:15:01
Speaker
Later in July, we have pool school, TriDot Pool School, July 26th to 27th.
00:15:07
Speaker
Again, Air Force Academy, Saturday 12 to 4, Sunday, sorry.
00:15:15
Speaker
Yeah.
00:15:15
Speaker
And then Sunday 8 to 12.
00:15:19
Speaker
And we are excited to have you come and shave 15% or more.
00:15:25
Speaker
I think we're going to say April 100 time.
00:15:28
Speaker
How about that?
00:15:29
Speaker
Yeah.
00:15:29
Speaker
Yeah.
00:15:30
Speaker
Bravo, bravo.
00:15:33
Speaker
Let's get into our Ask a Coach section.
00:15:35
Speaker
But first, we're going to bring in our sponsor, and that is Grit to Greatness Endurance Coaching.
00:15:42
Speaker
So we know that training alone is tough, but training smarter, that's where we can come in.
00:15:47
Speaker
Grit to Greatness Endurance Coaching plus TriDot gives you optimized training, data,
00:15:54
Speaker
and the support to crush your goals.
00:15:55
Speaker
And when we get into this ask a coach section, you're going to understand exactly why when we talk about data, it's going to drive your training without burning out.
00:16:06
Speaker
If you want to try it for two weeks free, you can check out our try it out links below.
00:16:11
Speaker
Then roll into literally your best season yet for as low as $14.99 a month.
00:16:18
Speaker
So with the right tools, you are unstoppable.
00:16:21
Speaker
Go to our show notes, click the link, and let's start together.
00:16:25
Speaker
Awesome.
00:16:26
Speaker
All right.
00:16:26
Speaker
Yeah, we're looking forward to talking to you.
00:16:28
Speaker
So yeah, please reach out.
00:16:29
Speaker
And hopefully this interview that's coming up in our Ask a Coach section,
00:16:36
Speaker
Coach Jeff Boer, he is a coach, as well as the CEO of Predictive Fitness.
00:16:42
Speaker
We're super excited to do this because, well, one, because no one can explain this better than Jeff.
00:16:49
Speaker
This is obviously his baby and vision.
00:16:53
Speaker
But it is also something that I think is on a lot of athletes' minds.
00:16:57
Speaker
And we are really glad that we can put information out there for you to help you be successful in your training.
00:17:04
Speaker
And hopefully information is empowering and helps you pursue your journey.
00:17:09
Speaker
So let's get without any further delay.
00:17:11
Speaker
Let's get into our interview right now with Jeff Moore.
00:17:17
Speaker
All right, as you heard in our lead up today on the 303 Endurance Podcast, we are diving into the intersection of data, technology, and endurance performance with a guest who's been at the forefront of it all.
00:17:30
Speaker
Jeff Boer is the CEO of Predictive Fitness, the parent company of Tridot.
00:17:34
Speaker
a platform that has revolutionized how athletes train and the declaration of better results in less time powered by big data and artificial intelligence.
00:17:44
Speaker
We are excited to do this because April and I are both TriDot coaches.
00:17:49
Speaker
We are going to get into exactly what's behind the algorithms.
00:17:51
Speaker
We're going to talk about how predictive fitness turns data into actionable training and how athletes can trust a machine.
00:17:59
Speaker
Let's call it just a machine to guide our performance.
00:18:03
Speaker
Hey, listen, whether you're a data-driven athlete or a healthy skeptic, this conversation is for you.
00:18:09
Speaker
Jeff, we're glad to have you on the podcast.
00:18:10
Speaker
Thanks for being with us.
00:18:12
Speaker
Yeah, I'm super excited to be here.
00:18:13
Speaker
Looked forward to it for a long time.
00:18:15
Speaker
Listened to your episodes before.
00:18:17
Speaker
Love it.
00:18:17
Speaker
Love to be in the hot seat.
00:18:18
Speaker
So let's bring this skepticism up to the top level and throw it at me.
00:18:23
Speaker
Yes, I love that.
00:18:25
Speaker
You know, and it's good for us to do this.
00:18:29
Speaker
You know, we...
00:18:30
Speaker
you know, we get a chance to talk to athletes and coaches all the time, you know, as we're at races and, you know, you know, endurance exchange and that sort of thing.
00:18:39
Speaker
And, you know, the reason that we wanted to kind of take sort of a
00:18:43
Speaker
sort of a skeptic's view, you know, of this was we hear that sometimes, you know, when we're out there talking to folks and we really think it's just a matter of education and sharing some information.
00:18:53
Speaker
So we're really honored that you're here and helping us do that.
00:18:57
Speaker
And who better to get, who better to do this with than you, Jeff?
00:19:01
Speaker
I'm going to kick us off.
00:19:02
Speaker
Just, you know, let's just start with some real, like a really basic thing.
00:19:06
Speaker
What exactly is
00:19:07
Speaker
Predictive Fitness and how does it relate or, you know, how does it relate to Tridot?
00:19:12
Speaker
Sure.
00:19:12
Speaker
So parent company Predictive Fitness.
00:19:14
Speaker
So it's a proprietary data set that we've been accumulating and researching for more than 20 years, about 21, 22 years.
00:19:22
Speaker
And it powers, we have an insight intelligence engine.
00:19:25
Speaker
So it's this model that is designed on training data for endurance athletes.
00:19:31
Speaker
And it helps deliver that better results in less time with fewer injuries.
00:19:36
Speaker
So we developed that.
00:19:37
Speaker
We have run dot, try dot.
00:19:39
Speaker
DOT is data optimized training.
00:19:41
Speaker
So you have triathlon data optimized training, running data optimized training.
00:19:45
Speaker
So again, a lot of big words used before artificial intelligence, machine learning, advanced analytics, all of these things, data mining and such.
00:19:52
Speaker
We use all of that to turn that raw data
00:19:56
Speaker
into from data to information to knowledge to wisdom so you can actually act on it.
00:20:00
Speaker
So it's really, it's a misnomer even the data, data-driven.
00:20:04
Speaker
The data's the start, but you have to turn that raw data into meaningful information, then knowledge, and then know what to do with the knowledge and apply it as wisdom.
00:20:12
Speaker
Where a lot of times, especially in the Gen AI, ChatGPT, people think of AI machine learning as, well, that's what it is.
00:20:19
Speaker
It's an LLM.
00:20:20
Speaker
We're not an LLM.
00:20:22
Speaker
LLMs, ChatGPT, those are trained on language.
00:20:26
Speaker
And they can generate language, they can translate language, they can ingest and understand language and spit it back out.
00:20:31
Speaker
They can do all kinds of things because they've recognized patterns in language based on what they're trained on.
00:20:37
Speaker
This is a transform.
00:20:38
Speaker
It's been trained on language.
00:20:40
Speaker
So if it was trained on, you know, you know, elementary school articles or writings, then it would be a very different than if it was trained on scientific journals.
00:20:49
Speaker
We're not trained on language at all.
00:20:51
Speaker
We're trained on training data.
00:20:52
Speaker
So it's a completely different proprietary model built over 20 years specifically for endurance training.
00:20:59
Speaker
And LLMs are not new either.
00:21:01
Speaker
Those have been around since the 80s.
00:21:03
Speaker
They started doing that work.
00:21:04
Speaker
It's just more recently with the
00:21:06
Speaker
The advances in cloud computing and processing speed, memory, a lot of those things have really accelerated here recently.
00:21:12
Speaker
We launched our first, you know, in the last 20 years, we launched our first real-time data-driven adaptive training in 2017.
00:21:20
Speaker
So we preceded that by, I think, 13 years of research leading up to that point where processing speeds and such were fast enough to launch.
00:21:28
Speaker
That's kind of the second generation technology.
00:21:30
Speaker
of TriDot.
00:21:30
Speaker
We started in 2010 with TriDot after about seven years of research.
00:21:35
Speaker
And so we've been going for quite a while.
00:21:36
Speaker
But I just want to make sure this is not ChatGPT.
00:21:39
Speaker
It's not that.
00:21:40
Speaker
It's a completely different model.
00:21:41
Speaker
It's made for endurance athletes training based on training data for triathletes.
00:21:46
Speaker
It's purpose-built.
00:21:47
Speaker
It's not just a redeployment or a rejiggering of an LLM.
00:21:51
Speaker
And who would have imagined the growth trajectory of data and the amount of data that we have around training and athlete performance.
00:22:01
Speaker
So it's a massive thing to get your head around.
00:22:05
Speaker
April, I'm going to give you question number two.
00:22:08
Speaker
We'll just go back and forth.
00:22:08
Speaker
How about that?
00:22:09
Speaker
Yeah, I love that.
00:22:10
Speaker
I do have a little bit of a follow-up question for you on that, Jeff.
00:22:14
Speaker
Do you have an estimate of how many athletes have been
00:22:20
Speaker
this data that's been gathered over these years about how many different athletes you've actually looked at to composite and get a, uh, an aggregate of that information.
00:22:32
Speaker
Well over, um, well over 300,000 athletes.
00:22:36
Speaker
A lot.
00:22:37
Speaker
And there's a lot of apps that have freeware, but they don't have good contextualized data.
00:22:42
Speaker
With these athletes, we have great data, and I'll share kind of the data that goes into it and how we make that much more rich and informative and not just raw data and kind of incompatible random data points, but how we relate them and create the context is great.
00:22:59
Speaker
So Jeff, Trinot claims to deliver better results in less time.
00:23:04
Speaker
What is the science or data behind that claim?
00:23:07
Speaker
So we're the only platform actually in the world that can measure our effectiveness or the efficiency of our own training.
00:23:15
Speaker
So we'll get into kind of the process of how that is and why.
00:23:18
Speaker
But there is, so there's no other person that can make that claim because they can't even measure their own effectiveness.
00:23:24
Speaker
And I know that probably sounds like pretty bold or whatever.
00:23:27
Speaker
Here in 10 minutes, you'll understand why.
00:23:30
Speaker
But we've been measuring this for since about 2011 or so.
00:23:34
Speaker
We had a, we call back then as a free for feedback, then a pre-season project and the tri-dot project.
00:23:39
Speaker
The genesis of that was to be able to pull in athletes brand new.
00:23:44
Speaker
So it's not just beginner, but new to our platform.
00:23:47
Speaker
And we'd ask and we give them two months of free training, completely free, no strings, literally.
00:23:52
Speaker
We spend millions of dollars on this over the year.
00:23:54
Speaker
over the years, but some of them would come in, do their assessments, connect their data and not do anything.
00:23:59
Speaker
Some would do the free months, two free months and they'd bail and the others would continue.
00:24:04
Speaker
And so now, and then we ask them, if you're not gonna use, try it out, what are you gonna use?
00:24:07
Speaker
Are you gonna work with a coach?
00:24:08
Speaker
Are you gonna buy a free plan or are you gonna train yourself?
00:24:10
Speaker
Now we have five cohorts and a baseline of our athletes.
00:24:14
Speaker
So here we have, here's what our athletes do.
00:24:16
Speaker
Here's what the ones that don't do, that do the free two months, how much they improve during the two free months, then how much they do or don't improve after that.
00:24:23
Speaker
Here's how much the ones that use a coach don't use a coach.
00:24:25
Speaker
So it's been great.
00:24:27
Speaker
Going back to 2013, we were having groups of 800, 900 or more in those different cohorts.
00:24:32
Speaker
The ones that worked, we're about eight times more effective using TriDot than designing your own training.
00:24:38
Speaker
eight times, about three and a half times more, wait, get this, about six times more effective than buying a purchased plan, a structured plan, working with a coach were two and a half times more effective than working with a coach that's designing and consistently monitoring and updating your training, two and a half times more effective than that because of the data.
00:24:58
Speaker
So that's kind of the longitudinal and we track those athletes to actual race outcomes and over the years.
00:25:04
Speaker
Another last year I get, or this year, this year and last year, the North American national amateur champion in the Woodlands, Texas, Andrew Hall.
00:25:13
Speaker
He did that race.
00:25:14
Speaker
He was, he's the national champion.
00:25:15
Speaker
He won, he did an eight 30.
00:25:17
Speaker
So eight hours and 30 minutes as an age grouper, pretty incredible.
00:25:22
Speaker
He beat the next place, second place person by more than 12 minutes.
00:25:26
Speaker
He beat the 40% of the professional athletes he beat.
00:25:30
Speaker
He's 40 years old.
00:25:32
Speaker
So he's not a young guy.
00:25:33
Speaker
So he would be even on the older and very older end of the pro field.
00:25:36
Speaker
So he's 40 years old.
00:25:38
Speaker
Most of the people at that level are training 25 to 30 hours a week.
00:25:42
Speaker
He's training under 15 hours a week.
00:25:44
Speaker
And he was also the age group national champion last year too in 2024.
00:25:49
Speaker
So you're having athletes from beginners to advanced to pro to every different level getting those kind of results.
00:25:59
Speaker
In the actual, when I get to the why, why I did this, why, you know, I'm not that level.
00:26:05
Speaker
But I started the research for myself because I wanted to be good at the sport.
00:26:10
Speaker
I love the sport.
00:26:11
Speaker
I did the first triathlon, my first triathlon in 2002.
00:26:14
Speaker
Loved it.
00:26:15
Speaker
I wanted to win.
00:26:16
Speaker
I wanted to win my age group.
00:26:17
Speaker
I wanted to win masters.
00:26:17
Speaker
I wanted to, you know, and I got that good as on the podium.
00:26:20
Speaker
I was doing that, but I didn't want to train as much as everyone.
00:26:23
Speaker
They're telling me you have to train this much.
00:26:25
Speaker
I said, I'm not giving up my wife and my family, my career and all these other priorities.
00:26:28
Speaker
I'm not doing that.
00:26:30
Speaker
So if I'm not doing that, I have to make every minute count.
00:26:33
Speaker
So that's where it got started is about four or five years before I ever thought of training more people professionally.
00:26:40
Speaker
I just got all my, you know, a few dozen training partners in my club and started compiling their data and a few dozen turn into a few hundred over four or five years.
00:26:48
Speaker
And it just kind of mushroomed.
00:26:50
Speaker
So to athletes, the why of,
00:26:53
Speaker
This is important.
00:26:54
Speaker
It's so powerful.
00:26:55
Speaker
Whether you just have seven hours a week to train and you want to make the most of it, whether you want to qualify for Kona, whether you just want to stay healthy.
00:27:05
Speaker
Like, I just want to keep getting better and I don't want to get hurt.
00:27:07
Speaker
I want to keep doing it.
00:27:08
Speaker
Whatever your reason is, anywhere on that spectrum, injury performance, time efficiency, whatever it is, the same engine needs to be underneath the hood of whatever you're doing.
00:27:17
Speaker
The most consequential decision that any traffic makes is how they spend their training time.
00:27:23
Speaker
That's going to lead to injuries or not.
00:27:24
Speaker
It's going to lead to performance improvements or not.
00:27:26
Speaker
It's going to begin to realizing their goals and their dreams or not.
00:27:29
Speaker
Even if they have one race they're going to do, you want that one race to be something that you have no regrets about.
00:27:35
Speaker
Or you want to have that one bucket list.
00:27:36
Speaker
I did an Ironman, but I could have gone so much faster.
00:27:39
Speaker
Or it could have been such a pleasure to run and not just agony for the whole time.
00:27:43
Speaker
Or, hey, I'm doing this because I love it.
00:27:44
Speaker
So why do I want to suffer so much on race day?
00:27:47
Speaker
I'd rather go enjoy it because I'm fit and able to handle it.
00:27:50
Speaker
So whatever your reason, it's that same powerful engine under the hood that we've been working on for 20 years that's going to power that.
00:27:57
Speaker
You said something that I really want to follow up on.
00:28:00
Speaker
It was the notion that other platforms can't substantiate the benefits that they're
00:28:10
Speaker
programs deliver, right?
00:28:12
Speaker
That the training that they deliver, they can't substantiate the benefits.
00:28:16
Speaker
And what I loved about TriDot was as an athlete and as a coach also, the transparency of month over month of exactly
00:28:29
Speaker
you know, very objective measurements of whether the training is working or not.
00:28:35
Speaker
And there is a concept within the TriDot subculture of, you know, bumping the dot and the, you know, the energy around other athletes who are using the program who are seeing themselves improve and bumping the dot means that you have increased your percentile among athletes, your gender,
00:28:57
Speaker
Plus or minus, what is it?
00:28:58
Speaker
Six months of your age.
00:28:59
Speaker
Is that right?
00:28:59
Speaker
Something like that?
00:29:00
Speaker
Show this to the day, actually.
00:29:01
Speaker
To the day, yeah.
00:29:03
Speaker
Spectrum.
00:29:05
Speaker
And your performance ability.
00:29:07
Speaker
So yeah, others can show improvement.
00:29:11
Speaker
Say, hey, I did an Ironman at this pace, and now I'm doing this pace.
00:29:14
Speaker
I ran a 5K at this pace, now I'm doing this pace.
00:29:17
Speaker
but they can't attribute it to the training because they can't really assess where you're at.
00:29:21
Speaker
The courses or the conditions could be different, different weather, different terrain, different hilliness.
00:29:25
Speaker
You're older, you're heavier.
00:29:28
Speaker
They can't even quantify how much training you've actually done in a meaningful way, maybe distance or time, but what did you actually do during that distance or during the time?
00:29:35
Speaker
So when you're not accounting for all those variables,
00:29:38
Speaker
know every it's like your kids when they're growing up you know they're getting taller well are they getting faster enough there's times when you need to grow a lot there's times when you need to not grow a lot and there's things are healthy and not healthy and unless you put it in context you know if i grew it you know a half inch a year if i'm an eight-year-old you better be growing a lot more i mean they sprout up at that age but if you're 18 19 well maybe you're done growing so there's a relative nature to that and context that you need to all the different factors that go into training that are so meaningful
00:30:07
Speaker
to be able to optimize your training, to deliver the best and measure and be able to predict an outcome, measure how close you get to it, attribute why you did or didn't hit that and then improve the system.
00:30:18
Speaker
So you just answered my next question.
00:30:21
Speaker
How does a platform with the level of intelligence that TriDot has, how is it able to out-program the
00:30:33
Speaker
what a human could write.
00:30:35
Speaker
I bumped into a fellow coach last year and just asked about how her coaching business was going and she was asking about mine.
00:30:42
Speaker
And I asked, are you still writing every single plan, every single workout?
00:30:48
Speaker
And she said, well, that's what coaching is.
00:30:49
Speaker
I'm like, it's so much more than programming.
00:30:54
Speaker
And having a coach that can just have so much assistance and so much of a head start
00:31:02
Speaker
is is fantastic.
00:31:04
Speaker
I'm sort of losing the plot on my question here.
00:31:06
Speaker
But the question is basically, how can how can try that like out program, you know, creating the perfect programming for an individual athlete than a
00:31:18
Speaker
individual coach with all of their wisdom.
00:31:21
Speaker
I say a lot of people are skeptical of that, of algorithmic training, of machine, can a machine do it?
00:31:27
Speaker
When we were just getting started, you say, how can a machine do better?
00:31:30
Speaker
The answer, you know, and having the sense that a person, a human can know better.
00:31:34
Speaker
Well, one is, I guess, a presupposition to that question.
00:31:38
Speaker
And people think of algorithmic
00:31:40
Speaker
Like someone programmed this algorithm that's going to do my training.
00:31:43
Speaker
So it's going to replicate what a human would do.
00:31:46
Speaker
And that's not what Trigot is.
00:31:47
Speaker
There's some trivial AI apps out there that someone programs it.
00:31:51
Speaker
If this, then do this.
00:31:51
Speaker
And they're looking at what a human looks at, making decisions that a human would make, and they're replicating a coach.
00:31:57
Speaker
And that will never be as good as the coach.
00:31:59
Speaker
It will always be some degree less than the coach.
00:32:02
Speaker
Theoretically, but sometimes it's better because it's more consistent.
00:32:05
Speaker
Coaches are subjective and depends on a number of different things.
00:32:08
Speaker
They may make a different person, a different decision in different circumstances.
00:32:12
Speaker
So kind of looking back, if you think of so algorithmic training, I'll kind of compare and contrast here a little bit, but I'm going to use an example first for the human aspect versus machines or let's just say technology in general.
00:32:26
Speaker
Um, if you have a, and this is not unique to our industry, um, triathlon training, coaching, think of a pilot, you know, 40, 50 years ago, pilots would train, they would fly during daytime in clear weather based on things that they could see, you know, nowadays.
00:32:43
Speaker
And that was, and they were, they were educated.
00:32:45
Speaker
They had PhDs.
00:32:46
Speaker
They had 20 years of experience, all those same things, wonderful pilots.
00:32:51
Speaker
Nowadays, they're able to fly at 30,000 feet in night, in the weather, over whatever stuff.
00:32:58
Speaker
They don't have to worry about hitting mountains.
00:32:59
Speaker
They can just see the mountains.
00:33:00
Speaker
They have GPS.
00:33:01
Speaker
This flight control system is incredible.
00:33:03
Speaker
They say, hey, actually, I can go off course a little bit, but if I climb to 10,000 more feet, I'm going to hit a jet stream.
00:33:09
Speaker
So we'll be flying into a tailwind.
00:33:11
Speaker
or with the tailwind instead of a headwind and all of these different things.
00:33:14
Speaker
Hey, over the horizon, I can't see it yet, but there's inclement weather.
00:33:17
Speaker
I'm going to be able to fly around it if I do this.
00:33:19
Speaker
So there's all of these things that technology allows them to see.
00:33:23
Speaker
So if you are riding on an airplane and your pilot comes on and says, hey, hey, guys, I've got 20 years experience, have a Ph.D. in aviation and aeronautical engineering.
00:33:34
Speaker
I'm not going to use this flight control system in here.
00:33:36
Speaker
We're going to head over the Atlantic.
00:33:37
Speaker
I think I'm going to be all right.
00:33:39
Speaker
You know, just sit back and trust me.
00:33:40
Speaker
Would you want that?
00:33:41
Speaker
Or would you want the guy that says, hey, I got this flight control system as the latest technology?
00:33:45
Speaker
You know, you want, ideally you want both.
00:33:48
Speaker
But the idea that a human can see things that technology can see or that technology can't see more than a human can,
00:33:55
Speaker
If you're only relying on what a human can see, your decision-making is going to be on very few things.
00:34:00
Speaker
The same thing, if you think of an MRI and a doctor, would you want to go to a doctor that just does touch and feel and all this stuff?
00:34:06
Speaker
Or you want someone that's got inside your body with resonance, you know, MRI or whatever that stands for, magnetic, whatever, resonance imaging, is that right?
00:34:13
Speaker
Yes.
00:34:14
Speaker
We're not going to fact check you on that.
00:34:18
Speaker
And so it's putting that in the hands, going back to the pilot analogy, there was on the flight deck, you know, it's not just one person, there's several.
00:34:26
Speaker
On the flight deck, there used to be a person that was the navigator.
00:34:29
Speaker
And that was their sole job.
00:34:31
Speaker
Well, Air Force, you know this, there was a navigator and that was their job of charting the path.
00:34:35
Speaker
They don't have that role anymore.
00:34:37
Speaker
Since 1983, they don't have a navigator.
00:34:40
Speaker
That's not a position anymore.
00:34:42
Speaker
AI doesn't replace jobs, it replaces tasks.
00:34:47
Speaker
That task of navigation has been replaced with a technology.
00:34:50
Speaker
The role of a pilot persists.
00:34:53
Speaker
This task we're talking about of programming, seeing, analyzing the data, that could be done better with technology.
00:34:59
Speaker
That task is replaced with technology, but a coach is not replaced because a coach does so much more than just the programming.
00:35:07
Speaker
You can go in there and look for all the intangibles.
00:35:09
Speaker
Hey, I want to move this workout.
00:35:10
Speaker
This person gets sick or stressed at work.
00:35:12
Speaker
It's not in the data.
00:35:13
Speaker
Hey, you know, whatever the things that you know, it actually a coach becomes better because of that, because they're not spending so much time tinkering with trial and error or whatever the philosophy is on the training.
00:35:23
Speaker
They actually get to know their athlete better.
00:35:25
Speaker
So I would say coaches who use technology to do the programming know their athletes much, much better than those who don't.
00:35:33
Speaker
Yeah, I love that.
00:35:34
Speaker
Nobody knows that better than us.
00:35:37
Speaker
So reaching to the choir, to the skepticism piece in how that programming, and I use a couple of examples with the pilot and wind and GPS and night and weather and seeing all that stuff.
00:35:48
Speaker
When we look at program design, program, how do you design training plans?
00:35:54
Speaker
Maybe I'll introduce the four pillars of that, how we look at that, the things that are necessary, whether it's technology doing it, a person doing it, whatever.
00:36:03
Speaker
And then I'll kind of explain, here's how our technology does these things.
00:36:07
Speaker
So first of all, it's a foundational that these pillars are sitting on.
00:36:12
Speaker
And that's one that's looking at the data, able to pull out raw data and discover new relationships.
00:36:19
Speaker
And so you have raw data that is just facts and figures.
00:36:22
Speaker
You have information that structures it, puts it in scale, it sequence, it normalizes, it accounts for different things.
00:36:28
Speaker
So now it's more meaningful.
00:36:30
Speaker
Then you have to go to
00:36:32
Speaker
Knowledge.
00:36:32
Speaker
So data, information, knowledge is the next one.
00:36:35
Speaker
Knowledge is where you take that information and look for patterns and cause effect relationships and sequences and trends and correlations.
00:36:42
Speaker
Now you're learning things.
00:36:43
Speaker
Now you apply that as wisdom in your decision making.
00:36:46
Speaker
So coaches are not able to do anything past the data piece because you can't scale and normalize and do all the things to get from information, data to information, to knowledge, to wisdom.
00:36:57
Speaker
So you're going by a philosophy and really trusting, you know?
00:37:00
Speaker
And so I would be skeptical of coaches without, I'd be skeptical of a doctor diagnosing my cancer if they haven't used an MRI.
00:37:06
Speaker
I'd be very skeptical of that.
00:37:08
Speaker
I'd be skeptical of the pilot sitting up front that says they're not using any of the technology, but I'm going to get you there safely in the fastest route.
00:37:15
Speaker
So the four pillars that sit on top of that are assessment, prescription, evaluation, and prediction.
00:37:23
Speaker
So the first is you assess the athlete.
00:37:26
Speaker
The second one is you prescribe the training and you manage it.
00:37:28
Speaker
You continue to prescribe and change.
00:37:30
Speaker
Next is evaluation.
00:37:31
Speaker
You evaluate what did they actually do and what was the response that you expected and what was their actual response.
00:37:38
Speaker
And then you predict an outcome, either training outcome or racing outcome, and you compare.
00:37:43
Speaker
How did you do?
00:37:44
Speaker
Now you go back and you're able to reassess, re-prescribe, evaluate, and predict.
00:37:48
Speaker
So on the assessment side,
00:37:51
Speaker
think about we have tried outs.
00:37:53
Speaker
All right.
00:37:54
Speaker
Let me, let me start with a question.
00:37:56
Speaker
If you had an athlete with a one minute improvement in a 5k over a two month period.
00:38:02
Speaker
So they improve by one minute, a full minute on a 5k over a two month training period.
00:38:07
Speaker
Is that good or bad?
00:38:09
Speaker
We don't know.
00:38:09
Speaker
Relative.
00:38:10
Speaker
Yeah.
00:38:10
Speaker
What if I said the 27 minutes to the 26 minutes?
00:38:16
Speaker
That's pretty good.
00:38:17
Speaker
That's really good.
00:38:17
Speaker
You think that's good?
00:38:19
Speaker
All right.
00:38:19
Speaker
That was a 17 year old cross country runner.
00:38:21
Speaker
Is that good?
00:38:23
Speaker
No, you know, they're a hundred.
00:38:24
Speaker
Right.
00:38:25
Speaker
There's a 53-year-old female.
00:38:26
Speaker
You know, that was great.
00:38:28
Speaker
Like there's, wow, this is, the first one was done in the heat and the second one was done in 55 degrees.
00:38:34
Speaker
Well, no, it's not great because, you know, or one was on a hill.
00:38:37
Speaker
Like you have to normalize it.
00:38:39
Speaker
So tri-dots is that one to a hundred scale where one is barely moving.
00:38:43
Speaker
Like you have a run dot, a bike dot, and a swim dot.
00:38:47
Speaker
One is barely moving in that discipline.
00:38:49
Speaker
A hundred is world-class base.
00:38:51
Speaker
And then it's a continuum.
00:38:52
Speaker
So, you know, as you've, the faster you get, there's diminishing marginal gains.
00:38:56
Speaker
So now with that scale of your threshold ability, so you're somewhere on that continuum, 50, 60,
00:39:04
Speaker
Your 60 says, hey, I'm on the 60th.
00:39:07
Speaker
The diminishing returns are starting.
00:39:09
Speaker
And that's going to be a different time than someone who's 60 versus 40 versus 30.
00:39:14
Speaker
It's going to be different if your time is going to be different, if that was done in the summer and the heat and humid of August versus February.
00:39:22
Speaker
It's going to be very different.
00:39:23
Speaker
So it's environment normalizing, terrain normalizing, age and gender normalizing, all of those things to have a consistent baseline.
00:39:30
Speaker
There's no other platform in the world that has a consistent baseline for measuring for the initial assessment of the person.
00:39:37
Speaker
If you don't have that base assessment, you can compare workout to workout, environment to environment, athlete to athlete, age to age.
00:39:45
Speaker
You have no way of, it's like building a house without a ruler.
00:39:48
Speaker
There's no standard against which.
00:39:51
Speaker
That was one of the things that we kind of discovered, developed in probably 2007 or eight.
00:39:58
Speaker
That was kind of far to the start.
00:40:00
Speaker
From there, we're also doing things, and I won't go into much of this, but like a training stress profile, we're actually looking at how much stress can that individual take as a 63-year-old male, how much neural stress, aerobic stress, threshold stress, muscular stress during a session, a microcycle, a mesocycle.
00:40:18
Speaker
So now you're quantifying the load that they can accept.
00:40:21
Speaker
So now you have a benchmark.
00:40:22
Speaker
You're actually, we actually can upload genetics.
00:40:25
Speaker
So you're looking at your injury rate, your injury predisposition, your recovery rate, your trainability, what kind of training you respond to, what is your potential?
00:40:32
Speaker
So now when you're assessing an athlete, you're really assessing them.
00:40:35
Speaker
You know, without that, you're just directionally, okay, an older person can't take as much as a younger person.
00:40:41
Speaker
Great.
00:40:41
Speaker
But how much, you know, a person that's new to the sport can't take as much as someone's been doing it five years, but how much, what if you have an older person who's new to the sport or a new person that's been doing a long time and heavier person, lighter person, the impact stress, you have to account for all that to assess.
00:40:56
Speaker
So we're the only platform that does any of those things assessment prescription.
00:41:01
Speaker
Let me jump to that one or.
00:41:03
Speaker
I have a follow up question, kind of a tangent question on the training stress profile.
00:41:07
Speaker
Can you maybe help us understand how a training stress profile for an athlete would change based on their ongoing training and future assessments?
00:41:19
Speaker
So some of it doesn't change.
00:41:21
Speaker
That's this age related or certain things.
00:41:23
Speaker
They can a little bit, but there's so many variables that go into what that is.
00:41:27
Speaker
So one is as your performance goes up, as your body composition comes down, as your the workload, what work you do, you're able to tolerate more as a percent.
00:41:36
Speaker
you know, the old traditional ways increase, you know, an athlete's 10% per week, you know, 10% distance, 10%, you know, it's not 10% for everybody.
00:41:45
Speaker
So we're able to quantify how much can an older person and not just older, but a 63 year old different than a 52 year old different than a 47 year old.
00:41:52
Speaker
can they improve?
00:41:54
Speaker
And those are different based on, you know, there's no impact stress in swimming.
00:41:58
Speaker
There's a lot more on running, not so much on biking.
00:42:00
Speaker
And so we're able to see an athlete, for example, different ages, an older athlete can't take as much neurological stress, but they can take quite a bit more aerobic stress.
00:42:11
Speaker
compared relatively to a younger person.
00:42:13
Speaker
A younger person can take and they'll recover a lot more from different types of stress.
00:42:16
Speaker
And so we know what kind of workouts and what stress can we give to them.
00:42:20
Speaker
And so that there's some elements that don't change much, that kind of have ceilings or diminishing ability to improve.
00:42:27
Speaker
But other things is based on your performance, your body composition, your durability, how long you've been working and the workload as you gradually go up, you're able to attain more as an older athlete.
00:42:37
Speaker
And so that's how that would change over time.
00:42:39
Speaker
That's awesome.
00:42:39
Speaker
Thank you.
00:42:40
Speaker
Yeah.
00:42:41
Speaker
So, so you have assessment.
00:42:43
Speaker
Great question.
00:42:44
Speaker
Then it moves to prescription.
00:42:46
Speaker
So now you've assessed the athlete, what they can handle, what training now prescribed training stress.
00:42:52
Speaker
When you look at training stress, we have normalized training stress.
00:42:56
Speaker
We're the only platform that quantifies training stress.
00:42:59
Speaker
I don't know if some of your listeners or coaches or athletes are familiar with TSS.
00:43:04
Speaker
That's about a 23-year-old metric.
00:43:05
Speaker
It's in three or four different ways.
00:43:09
Speaker
Maybe at the end, if you want to, if we have time, we can dig into that, but there's just things that just are flat out wrong that will get you hurt and injured.
00:43:16
Speaker
So this training stress is looking not just one big stress bucket, this specifically looking at the stress associated with neural stress, muscular, aerobic, and threshold stress.
00:43:24
Speaker
And how much of each of those can we dose?
00:43:27
Speaker
And then separately, unlike TSS, your residual training stress is different.
00:43:32
Speaker
Each of those stress types have a different rate of decay or a half-life or dissipation.
00:43:37
Speaker
If you have a TSS of one score, if it's very high,
00:43:41
Speaker
Intensity is going to take you a week and a half to recover lower intensity same TSS you're recovered in three days.
00:43:47
Speaker
Those have different rates so you have to manage all of those stress types differently.
00:43:51
Speaker
And so your fatigue your residual training stress.
00:43:55
Speaker
Over time is different and the different you can have different loads.
00:43:59
Speaker
and and it'll it'll dissipate and come down so when you're measuring if you if you're measuring those numbers based on tss that's the root thing that that flaws everything that's a derivative metric of that when you start with a normalized training stress that branches us out that accounts for your environment same thing you have a tss if you do that outside in 90 degrees and inside in 55 it's not the same you have to account for the environment when you prescribe training stress you have to change the intensities based on that environment
00:44:26
Speaker
So that's one different area, the residual training stress.
00:44:28
Speaker
If you think about even in the prescription process, a lot of times coaches will look at like a high heart rate, whether it's, hey, you did a workout and here's a decoupling point, your heart rate kind of spikes here, or after the workout, your resting heart rate, it takes a while for it to come down, or the next morning, your HRV is low, or your heart rate is high, or whatever the signal is, however you look at that.
00:44:54
Speaker
But then you ask a coach, okay, great.
00:44:57
Speaker
So we know something happened here.
00:44:59
Speaker
Is that because the workout that they did yesterday was very hard or maybe too hard?
00:45:04
Speaker
Or is it because the workout, real stressful workout they did two days ago was really hard and they're not recovered?
00:45:11
Speaker
Or is it because a residual training stress from the last four weeks was really high and they couldn't accept that much?
00:45:18
Speaker
Or is it because it was hot yesterday, you know, or they dehydrate or like there's, they don't know.
00:45:24
Speaker
And so they're guessing because they're not accounting.
00:45:26
Speaker
They don't have visibility to any of that stuff.
00:45:29
Speaker
Whereas in our system has visibility to all of that stuff.
00:45:32
Speaker
And so we're able to say, we know they came in with this much load with this much of the kind of fatigue.
00:45:36
Speaker
We loaded them with this kind of training stress.
00:45:39
Speaker
Therefore, if it's elevated, we know that it's a positive response or maybe they're getting sick.
00:45:44
Speaker
We can isolate that more.
00:45:46
Speaker
So we're able to do those kinds of things in that prescription.
00:45:49
Speaker
And it kind of goes over to that evaluation step too.
00:45:52
Speaker
We're looking at how they responded to it.
00:45:54
Speaker
But if you're not able to measure training stress, how in the world can you measure or can you manage it?
00:46:00
Speaker
If you can't measure the thing, your heart rate is a shadow metric.
00:46:05
Speaker
It shows you what happens.
00:46:06
Speaker
It's almost like looking at the ground.
00:46:07
Speaker
You can see the dog shape of a shadow.
00:46:09
Speaker
Is it a dog or someone doing a little thing with their hand?
00:46:12
Speaker
You know, is it a bird or is it, you know, what is a shadow of something, but you don't know what goes into making that shadow.
00:46:19
Speaker
So when you're actually able to quantify what you're prescribing proactively, when you're prescribing training, when you're on Tridot, if you're going to do a workout and you're,
00:46:27
Speaker
In the morning, you're doing seven and a half minute mile
00:46:31
Speaker
you know, three by eight minutes or whatever.
00:46:33
Speaker
And then you say, hey, I'm going to do this in the afternoon and it's 95 degrees.
00:46:36
Speaker
You don't need to do seven and a half minutes anymore.
00:46:38
Speaker
It might be 751 or something.
00:46:40
Speaker
And so proactively prescribing the training appropriate for the environment.
00:46:44
Speaker
If you don't do that, then you're going to underscore how you're going to over prescribe training because they're going to do too hard.
00:46:50
Speaker
And then you're going to undervalue it when you do the assessment because you're going to take it like they did it in the morning because that's static.
00:46:58
Speaker
Next one is that evaluation, looking at how did they respond to the training?
00:47:03
Speaker
What did they do?
00:47:03
Speaker
What does that residual training stress?
00:47:05
Speaker
How did they respond to that?
00:47:07
Speaker
And measuring that in every other platform, everywhere you see, you have the vanity metrics, the miles and the minutes, and you brag out more is better.
00:47:15
Speaker
And so that drives athletes to do more.
00:47:18
Speaker
They associate more with better.
00:47:19
Speaker
And how you train is far more important than how much you train.
00:47:23
Speaker
So we get them focused on what they're doing, doing the right training, right?
00:47:27
Speaker
So we have, instead of looking at the vanity metrics, the distance, the time, whatever, we're looking at what we call a train X score and it's training execution.
00:47:36
Speaker
And it's a one to a hundred scale that measures how well did you do what was prescribed?
00:47:41
Speaker
If it was a 20 minute easy run and you go too hard or too long, you're not going to get 100.
00:47:46
Speaker
It might be an 80, might be a 70.
00:47:48
Speaker
So it's going to score you low because we know you didn't do what's prescribed and that's going to impact future workouts.
00:47:54
Speaker
If you go and do a hard quality workout, it's going to measure the quality.
00:47:58
Speaker
And if you had a 20 minute easy at the end of those intervals, it doesn't care about that as much.
00:48:03
Speaker
That's a very minor thing because the meat of that workout is in the quality.
00:48:07
Speaker
If you're doing a long session, it really matters that you get your duration.
00:48:11
Speaker
We're working on stamina.
00:48:12
Speaker
So you don't want to go too hard, but you don't want to go.
00:48:15
Speaker
If you go 20 minutes short on that one, it's a big deal.
00:48:18
Speaker
because you need that to build that stamina over time.
00:48:20
Speaker
So it knows the type of workout, the type of stress, the energy system train, and it evaluates how well you do that.
00:48:26
Speaker
And more is not better.
00:48:28
Speaker
More is worse.
00:48:28
Speaker
And so you want to nail those hundreds.
00:48:30
Speaker
So it's training athletes to do the right training, right?
00:48:33
Speaker
And they want to max that out.
00:48:35
Speaker
And so it keeps them healthy, keeps them recovered.
00:48:37
Speaker
When it's time to go easy, go easy.
00:48:38
Speaker
When it's time to go hard, go hard, recover and pay attention to your intervals, make them all like they're prescribed.
00:48:44
Speaker
Don't go real hard on the first ones and blow up on the last ones.
00:48:47
Speaker
And so we're actually able to evaluate.
00:48:49
Speaker
So when it kind of goes back to that efficacy standpoint, proven, you know, how, you know, how do you improve?
00:48:55
Speaker
If a software, one can't assess the athlete, can't measure what it's prescribing.
00:48:59
Speaker
So it can't manage what it's prescribing.
00:49:01
Speaker
Then it can't measure what they actually did.
00:49:03
Speaker
It knows the number of sessions.
00:49:04
Speaker
It knows the number of miles.
00:49:05
Speaker
It knows the number of minutes, but there, there's no other platform that's capable of measuring the quality, the level of adherence to them doing what they were supposed to do.
00:49:15
Speaker
You know they did minutes, but you don't know if they did the training.
00:49:17
Speaker
So even if you have an outcome that you measure, I don't know if my training led to that because I can't really quantify how well they did what I asked them to do.
00:49:26
Speaker
I just know that they did a bunch of stuff.
00:49:28
Speaker
And athletes never do what we ask them to do exactly.
00:49:31
Speaker
So...
00:49:32
Speaker
But that's part of life and you adapt to, you know.
00:49:36
Speaker
But it's a it's a great like visibility and intentionality.
00:49:40
Speaker
It gives intentionality to the workout.
00:49:42
Speaker
Right.
00:49:42
Speaker
To see the target number of minutes of dosing, as you called it, in each of those zones, because it's like, oh, that's my intention today, you know.
00:49:51
Speaker
Yeah.
00:49:52
Speaker
And then to get that feedback afterwards, like I know so many athletes that just cannot wait.
00:49:57
Speaker
Like we'll get done with a group workout.
00:49:59
Speaker
Right.
00:49:59
Speaker
And everybody is at their phone and they're refreshing because they want to see what the score was.
00:50:04
Speaker
You know, we did the camp and everyone was like, you know, checking their scores after.
00:50:09
Speaker
So that's awesome.
00:50:10
Speaker
And some people, different personalities types need to look at that different.
00:50:14
Speaker
For some, they want to do it to the letter.
00:50:15
Speaker
They're very type A and I want to and they nail it.
00:50:18
Speaker
If you're not that kind of person.
00:50:21
Speaker
it should be liberating to you.
00:50:22
Speaker
Do what you're going to do, do your best, and then don't sweat it because the system's going to adjust to what you actually did.
00:50:27
Speaker
We're going to know what you actually did and we're going to adjust to what you actually did.
00:50:31
Speaker
So either way, it's going to benefit.
00:50:33
Speaker
And then that moves us to the last.
00:50:34
Speaker
The last section is prescription.
00:50:37
Speaker
It's like if you can't call your shot, if you don't have a hypothesis, here's what I think the outcome.
00:50:41
Speaker
I'm going to assess the athlete.
00:50:42
Speaker
I'm going to prescribe this training and I'm going to measure.
00:50:44
Speaker
Here's what they did.
00:50:45
Speaker
You have to be able to predict what your expected outcome is.
00:50:48
Speaker
If you can't do that, then you can't determine your own efficacy.
00:50:52
Speaker
You don't know how good your own training is because you don't have a standard.
00:50:55
Speaker
You didn't measure manage the training because you can't even measure it and you can't even measure what they did.
00:51:00
Speaker
So with that, we have race X, race execution, kind of like training execution, race execution.
00:51:05
Speaker
And we're able to predict outcomes of training sessions as well.
00:51:09
Speaker
But when you look at race execution, you're looking at the race that they do and you're predicting their outcome.
00:51:15
Speaker
very sophisticated, gets into the drag coefficient and we're actually pulling in the weather.
00:51:20
Speaker
It's coming at this angle.
00:51:21
Speaker
And when you're at 10 o'clock, you're going to be going on this bearing on this road.
00:51:24
Speaker
One's going to be coming from the North Northeast.
00:51:25
Speaker
That's a such and such a yaw angle.
00:51:26
Speaker
Here's your CDA.
00:51:28
Speaker
And it's going to calculate your time and your power and the hills.
00:51:30
Speaker
It's going to optimize all that, the weather, the climate, everything.
00:51:34
Speaker
So we know, are we training you for a 645 bike split or are we training you for a six hour bike split?
00:51:42
Speaker
So now we know one, it informs the training ahead of time because your body doesn't know, you know, all of this other stuff.
00:51:49
Speaker
If you're going up or down or if the winds blow, it just knows I'm working this hard for this long.
00:51:54
Speaker
And so we need to know, are we training you for a 645, 112 miles or 56 miles?
00:52:00
Speaker
Or am I training you for much less than that?
00:52:02
Speaker
So we know what you're training for.
00:52:04
Speaker
Then we can prescribe, here's your paces.
00:52:06
Speaker
Here's your pace on the run.
00:52:08
Speaker
Here's your pace on the bike so that we make sure you have a good run.
00:52:11
Speaker
And then afterwards we can evaluate.
00:52:13
Speaker
Here's what the actual weather was and here's your actual, all this stuff.
00:52:17
Speaker
So now we can compare and in retrospect, analyze it and improve.
00:52:22
Speaker
So we can improve and see here's what you're capable of.
00:52:24
Speaker
Here's what you actually did.
00:52:24
Speaker
So prescriptively, analytically, during the race, race execution, real time, we're able to do all of those things.
00:52:30
Speaker
Yeah.
00:52:31
Speaker
Only if you connect the dots from assessment to prescription to evaluation of what they did, their response to it, predict the outcome, measure against the outcome.
00:52:37
Speaker
Can you complete that loop and make a claim like 30%, you know, less training time or better results in less time with fewer injuries because we're measuring it end to end and no other platform measures in effectively does any of those.
00:52:51
Speaker
Again, that's what is so cool is that the transparency is there.
00:52:55
Speaker
Not only are, you know, are we able to put in front of the athlete, this is,
00:53:01
Speaker
what your best execution on the day would be, right?
00:53:04
Speaker
This is what you should do.
00:53:07
Speaker
And, but then we put the actuals right next to it.
00:53:09
Speaker
Right.
00:53:10
Speaker
And they can see, I mean, talk about measuring results, right?
00:53:15
Speaker
It's like so transparent, which is, you can quantify.
00:53:19
Speaker
So just like the, you know, a coach or an athlete, you know, if I'm older, I'm doing less.
00:53:23
Speaker
And so there is, you can, you can understand why something's more or less, but,
00:53:29
Speaker
When it comes to transparency, why specifically did you do this workout?
00:53:33
Speaker
Why specifically are you backing off?
00:53:35
Speaker
If you can't measure any things, there is no transparency because it's a philosophy.
00:53:40
Speaker
And so in absence of the data, you have to apply a philosophy generally, and they have just general rules.
00:53:45
Speaker
I'm going to have three workouts a week.
00:53:47
Speaker
I'm going to have.
00:53:48
Speaker
you know, one long run, one quality run and one easy run or two easy runs, whatever it is, I'm going to increase 10% per week or 80, 20.
00:53:56
Speaker
I'm just, there's just this rule of thumb.
00:53:57
Speaker
That's a generic for everybody.
00:54:00
Speaker
And that's what you have to do in absence, but that's going to lead to plateaus.
00:54:02
Speaker
It's going to be leaving injuries, over-training, lost potential.
00:54:07
Speaker
So your enjoyment of the sport.
00:54:08
Speaker
I mean,
00:54:09
Speaker
why train for however many years if you're doing races and you're training and you're say 14 hour ironman finisher but with the same time you're putting in you could be an 11 hour finisher now your training volume is a lot less training for an 11 hour race versus a 14 hour race it's the same amount your training goes down so it's like this inverse relationship to get faster you can actually train less because you're not training for as long of an event junk right yeah
00:54:36
Speaker
And you get to keep doing it because your spouse isn't pissed off and you don't know your kids.
00:54:42
Speaker
And it's not how much training stress you can do on your body.
00:54:45
Speaker
It's how much you can absorb.
00:54:46
Speaker
Right.
00:54:47
Speaker
Right.
00:54:47
Speaker
More is not better.
00:54:49
Speaker
Right.
00:54:50
Speaker
Right.
00:54:51
Speaker
Awesome.
00:54:52
Speaker
All right, Jeff.
00:54:53
Speaker
I've been just absorbing as much as I can.
00:54:56
Speaker
So good.
00:54:57
Speaker
I really appreciate you taking the time to break this down with us.
00:55:00
Speaker
Two things that I thought of.
00:55:02
Speaker
One, since I started with TriDot, I have not had a single injury.
00:55:08
Speaker
And that just, as a quantitative and a qualitative, I really do attribute that to the optimized training and my enjoyment factor.
00:55:19
Speaker
The second thing I wanted to share is that
00:55:21
Speaker
The great thing about the platform that I've seen from a coach perspective is that when you say intentionality and you have athletes that maybe have been using another platform for years and they just followed the training plan that was either paid for or that was put together, but they didn't really understand it.
00:55:40
Speaker
They didn't understand why is this workout here?
00:55:43
Speaker
Why are we doing this?
00:55:44
Speaker
What is the benefit?
00:55:45
Speaker
One thing that I really love about TriDot is there's always a workout explainer.
00:55:49
Speaker
There's always an intentional reason to why that is on your calendar.
00:55:55
Speaker
And I get to have that conversation with them to really understand under the hood, why is this important for you to be doing this and you specifically versus any generic old plan?
00:56:06
Speaker
And I think that to me is what has linked my relationship with my athletes and that, hey, I'm here to guide you and help you understand this.
00:56:15
Speaker
And then also let's look at these other areas of your athletic journey, your mindset, your nutrition.
00:56:24
Speaker
what is driving you to want to do this?
00:56:26
Speaker
Why are we picking these races?
00:56:28
Speaker
Right?
00:56:28
Speaker
So I feel like it's just only enhanced my relationship with my athletes because we can focus on all those things versus just the programming.
00:56:38
Speaker
So that's going to lead me into my next question for you, because I, I, I'm sure there's still skeptics out there that might see or coaches out there that might feel like this try dot training platform could get in the way of their, their,
00:56:52
Speaker
what they think their expertise is and where they think they can deliver.
00:56:56
Speaker
So for athletes that might already have a coach or a coach that is looking at TriDot as a potential partner, how can TriDot either complement or conflict with that relationship?
00:57:11
Speaker
Great question.
00:57:12
Speaker
I think there's a lot there and it's interrelated.
00:57:15
Speaker
One is on people want to trust what they're training.
00:57:17
Speaker
You asked the first part of your comments was how they want to understand.
00:57:21
Speaker
And sometimes it's important to understand the workout.
00:57:25
Speaker
There's a general reason for that.
00:57:27
Speaker
But then there's also how do I understand what data went in to the decision making here?
00:57:32
Speaker
So I think there's two levels of understanding.
00:57:34
Speaker
So here's my workout and you can give me a general reason why, but if it's based on my age or the environment or my training stress or my performance level, or how did, how are you informed as a coach or whomever?
00:57:44
Speaker
And so when we can understand that, it gives that underlying understanding.
00:57:49
Speaker
I think that the same thing for an athlete is appropriate for the coach.
00:57:52
Speaker
when a coach understands those things like you pose the question of a high heart rate after a workout or the pilot and when they go i think the biggest conflict for some coaches is when uh there's a couple things one there's an ego component if they built their career on i know the secret sauce this way that i know you know is the only way and such and such and and they've done that it's been a natural thing coaches try to be protective they try to differentiate themselves
00:58:21
Speaker
The way they differentiate themselves is look at my athlete, so-and-so, or look at me.
00:58:25
Speaker
I'm a great athlete.
00:58:26
Speaker
I achieved this.
00:58:27
Speaker
I qualified.
00:58:28
Speaker
If I qualified, I could teach you how to qualify.
00:58:31
Speaker
You know, none of that is actually true because you can't quantify all of it.
00:58:34
Speaker
Maybe they're just genetically a great person.
00:58:36
Speaker
Maybe they train 25 hours, even if it's very inefficient and you only want to train 12.
00:58:41
Speaker
Maybe if you train their 30 hours, you're going to get injured.
00:58:44
Speaker
They're not going to get injured because their body comp, their genetics, their any number of things.
00:58:49
Speaker
So one is for coaches to understand that AI is one not going to replace AI.
00:58:55
Speaker
jobs or roles is gonna replace tasks and your task has to change.
00:58:59
Speaker
You need to evolve.
00:59:02
Speaker
AI is not gonna replace coaches, but coaches who know how to use AI are gonna replace coaches who don't.
00:59:09
Speaker
People will not continue.
00:59:11
Speaker
There's a movement and expectation.
00:59:13
Speaker
Athletes in a year, two years, five years, whenever it is, they will not accept coaches just winging it any more than they would accept an expert pilot who has a PhD and 30 years experience not using the available technology.
00:59:25
Speaker
That won't be a thing.
00:59:27
Speaker
So there won't be coaches that don't use technology.
00:59:31
Speaker
There's no technology like ours.
00:59:32
Speaker
I don't want to say they have to use Triton.
00:59:34
Speaker
We're just the only ones doing it right now.
00:59:37
Speaker
But they're not going to be doing that because they're going to see these athletes are getting injured and they're improving and I'm not.
00:59:43
Speaker
And when they understand that.
00:59:44
Speaker
So at first there's a resistance.
00:59:46
Speaker
They come with some of those presuppositions.
00:59:48
Speaker
They look at the training and they have this understanding of here's what I believe training should be.
00:59:51
Speaker
And that doesn't look like what I think it should be.
00:59:53
Speaker
They have to have the humility and to just step back a little bit.
00:59:56
Speaker
Skepticism is great, but just park it, understand it, seek to be understand before understood like that kind of approach.
01:00:02
Speaker
I want to understand.
01:00:04
Speaker
We have the explainer videos in the app, the descriptions, you have coaches will describe it.
01:00:08
Speaker
We have webinars, we have articles, we have podcasts and everything I mentioned, every single metric or technology, we have at least an hour long podcast that drills into it.
01:00:17
Speaker
Why and how and all of that stuff.
01:00:20
Speaker
And then when you understand like, wow, all that's being done, that's super cool.
01:00:24
Speaker
You know, you have some athletes that they just want to wake up and take their medicine.
01:00:28
Speaker
Like they don't care.
01:00:29
Speaker
You tell me what to do.
01:00:30
Speaker
I trust you.
01:00:31
Speaker
I trust the tech, whatever I'll do.
01:00:32
Speaker
Others really want to know, regardless of which one you are, you know, this can help you.
01:00:39
Speaker
It's going to help you.
01:00:40
Speaker
And from a, for a coach standpoint, I think it's really important for them to see one is not to be scared or, or, or fearful.
01:00:47
Speaker
Fearful is fears rooted in fear.
01:00:50
Speaker
a lack of knowledge or information.
01:00:52
Speaker
Once you get informed, like, okay, this is actually cool.
01:00:54
Speaker
I can actually, that's not my whole job.
01:00:57
Speaker
Like I mentioned, a decoupling of the navigator from a pilot, there's a navigation, a decoupling of programming from a coach.
01:01:05
Speaker
There's so many other things that a coach can do.
01:01:07
Speaker
When a coach knows that they're athletes, they want a great plan.
01:01:11
Speaker
But they're not coming to you necessarily for the great plan as much as they're coming for you.
01:01:16
Speaker
They like you.
01:01:17
Speaker
They trust you.
01:01:18
Speaker
They want to have a relationship with you.
01:01:19
Speaker
They want you to care about them.
01:01:20
Speaker
They want you to hold them accountable, build the trust.
01:01:23
Speaker
If that's going to be the successful coach, the tools will change.
01:01:27
Speaker
And 20 years from now, maybe we have these other tools that are not even named yet.
01:01:30
Speaker
But a coach will still be the human being that cares.
01:01:33
Speaker
And it builds that relationship.
01:01:35
Speaker
And so when the coaches grasp that, okay, they want, they love me.
01:01:39
Speaker
They want me, you know, it doesn't matter what tools I use and all these other things.
01:01:42
Speaker
And I can deliver more for them.
01:01:43
Speaker
And actually they get more of me because of the technology and they stay longer and they can do the sport longer because they're not training as much and they're not getting injured.
01:01:51
Speaker
So they're not having to take breaks.
01:01:53
Speaker
Pay me as their client because they're staying healthy.
01:01:55
Speaker
Racing twice a year instead of once a year.
01:01:57
Speaker
And there's a whole lot of benefits.
01:01:59
Speaker
Well, it makes us, makes coaches look like geniuses because it gives us the wisdom because it packages the information in a way that,
01:02:06
Speaker
informs the coach on how to work with the athlete.
01:02:09
Speaker
Absolutely.
01:02:10
Speaker
Yeah.
01:02:10
Speaker
And it's always override and they can change and they can move.
01:02:13
Speaker
You're the ultimate authority.
01:02:15
Speaker
You have all the control in the world, but you have this powerful, you know, machine.
01:02:19
Speaker
Yes.
01:02:20
Speaker
If you use a recent word, a machine and the technology under the hood, that's, that's doing it for you.
01:02:24
Speaker
You know, if you're, if you're racing and you know, you want a Ferrari or you want a Fiat, like what kind of, what do you want under the hood?
01:02:31
Speaker
If you're a professional driver and you're taking people places, what, what do you want under the hood?
01:02:35
Speaker
I just onboarded an athlete an hour ago and, and she was very interested in, you know, what my controls were.
01:02:42
Speaker
So I just shared my screen and I showed her all the things I can manipulate, including training stress profile.
01:02:47
Speaker
And, and yeah, she was just, you know, she, it reassured her, I think to know that, oh, I've got like,
01:02:54
Speaker
I've got like a panel of instruments as a pilot almost, you know, manipulating to, um, you know, personalize things based on, you know, what's going on with her or whatnot.
01:03:06
Speaker
Anyway, uh, you know, I, I love, um, I am a product manager, uh, you know, by a career here.
01:03:14
Speaker
And so I always think of, you know, uh, he or she who innovates and iterates the most and fastest wins.
01:03:22
Speaker
Where do you see,
01:03:24
Speaker
innovation in this space?
01:03:26
Speaker
Where do you see, you know, where do you see this tech, you know, technology and how it helps athletes and coaches going in the next, you know, three or five years?
01:03:36
Speaker
I, there's, there's a lot that we're working on and I'm not going to get into that.
01:03:39
Speaker
There's a lot of really cool things.
01:03:41
Speaker
Technologically, I will say how it shapes
01:03:45
Speaker
the culture of the community.
01:03:47
Speaker
I mean, if you think of even technology, the iPhone or smartphones or some of that stuff, there is an aspect of that that's isolating, especially with kids and they're kind of stuck to their screens.
01:03:57
Speaker
But 15 years ago, a lot of people thought it was gonna separate us.
01:04:01
Speaker
We were not gonna have that human to human, as much human to human contact anymore.
01:04:06
Speaker
But now with-
01:04:07
Speaker
you know, the podcast and the teams and the virtual, there's a whole lot more interaction.
01:04:12
Speaker
We're having grandparents and grandkids that are able to stay in contact with each other.
01:04:16
Speaker
So actually the communication in a lot of ways has been very positive.
01:04:20
Speaker
So there's some very positive outcomes.
01:04:21
Speaker
And again, not, you know, under emphasizing there's, there's negatives to technology too, but I see technology in the endurance space to really help people stay healthier, longer,
01:04:36
Speaker
and smarter so they're not getting the injuries.
01:04:38
Speaker
A lot of those chronic injuries just nag you for the rest of your life.
01:04:41
Speaker
You dig a hole, whether it's functional movement or overtraining or incorrect form or too much, and then it really keeps you from your sport and you have to give it up.
01:04:49
Speaker
So I see people being able to stay in the sport much longer.
01:04:52
Speaker
I see them having more time
01:04:56
Speaker
for the coffee and the fellowship after a workout.
01:04:59
Speaker
And they're having more time to socialize and do the fun stuff associated, also associated with the sport and not spending 20 hours a week or however excessive time training that they're able to have the fun time.
01:05:10
Speaker
I think coaches and athletes are going to have tighter personal relationships.
01:05:13
Speaker
It's not going to be that distance transactional.
01:05:16
Speaker
Here's your workout.
01:05:17
Speaker
Hey, you didn't do enough.
01:05:18
Speaker
You did too much.
01:05:19
Speaker
Here's a couple of things.
01:05:20
Speaker
They're going to have more relationship.
01:05:22
Speaker
Substance.
01:05:24
Speaker
Yeah, I think, I mean, we're going to pull in so much more data we're already working on in so many different areas.
01:05:29
Speaker
That's just going to make it a whole lot more effective.
01:05:32
Speaker
And so I just think it's going to be good in any almost any area that I can think of.
01:05:39
Speaker
The tide comes in and the technology flows one way.
01:05:42
Speaker
We're not going to go backwards.
01:05:44
Speaker
Things are going to get better.
01:05:45
Speaker
We're going to you know, things are going to you know, there's going to be negatives and there's going to be mistakes.
01:05:48
Speaker
There's going to be different things happen.
01:05:50
Speaker
But you adjust and you adapt and you figure things out as you go.
01:05:54
Speaker
And I don't know a piece of technology that we have today, maybe components of it that you could do without, but how could you live without your smartphone?
01:06:02
Speaker
How could you live without the internet?
01:06:04
Speaker
How could you live without video conferencing?
01:06:07
Speaker
I mean, can you imagine taking any of those away?
01:06:09
Speaker
I think that's what it's going to be like, you know, when we're using, you know, data to actually program what we should do, how much rest we should have.
01:06:17
Speaker
If we don't do it just right, how do you recover?
01:06:18
Speaker
How do you get back on scale the best way that you can?
01:06:21
Speaker
So you don't, you're not stressed out about it.
01:06:23
Speaker
So it can adapt to your life in very meaningful ways.
01:06:25
Speaker
So I'm excited about that.
01:06:28
Speaker
Yeah, well, we are too.
01:06:29
Speaker
And what a great way to close out us putting you in the hot seat.
01:06:34
Speaker
And really, we wanted to ask questions that someone who might be skeptical of technology, people are sometimes fearful of change.
01:06:47
Speaker
And helping unpack this and dispel some of the myths or whatever was very useful today.
01:06:54
Speaker
We would love if you would stick around.
01:06:56
Speaker
We'd like to transition into what we call our fun segment.
01:07:02
Speaker
And we're going to turn the tables with you, Jeff.
01:07:05
Speaker
We're just Coach April and I had you in the hot seat.
01:07:08
Speaker
We'll be in the hot seat.
01:07:09
Speaker
You'll be the host of the fun segment.
01:07:14
Speaker
And this is going to be data-driven content.
01:07:18
Speaker
training and we're going to call it truth or trash where you're just going to basically quiz us and we're going to see if we've got the goods as tri-dot coaches and both Ironman U certified coaches.
01:07:30
Speaker
By the way, Jeff Boer is also a subject matter expert in Ironman U course content on data-driven training and also on the swim mechanics modules.
01:07:48
Speaker
of uh iron man you so coming up soon in boulder and i'm gonna be there i don't know if y'all knew that or not so i'm gonna get to see you guys in person that's awesome well we're excited to have you out here that is we are going to be advertising that a little later on in the podcast as a matter of fact i can't wait to have you out here jeff that's great
01:08:08
Speaker
Awesome.
01:08:09
Speaker
All right.
01:08:09
Speaker
So here we go.
01:08:10
Speaker
We're going to turn this over to you, Jeff.
01:08:12
Speaker
You should have the notes for this.
01:08:15
Speaker
And you can just start off with it's time for a training truth or trash.
01:08:22
Speaker
All right, it's time for a data-driven training, truth or trash?
01:08:27
Speaker
All right, we're gonna do a little bit, this question, the first question's around kind of the AI and what are some of the things that artificial intelligence does?
01:08:37
Speaker
I'll give you a list of things and you tell me if it does all these things or if one of them, and that would be true.
01:08:45
Speaker
If it doesn't do one of them, then it would be false, all right?
01:08:49
Speaker
It involves trash, yeah.
01:08:52
Speaker
It perceives things.
01:08:54
Speaker
It processes natural language.
01:08:57
Speaker
It can optimize and plan.
01:09:00
Speaker
And it can do decision making.
01:09:02
Speaker
That's Terminator level.
01:09:08
Speaker
I am going with truth because we just talked about this.
01:09:11
Speaker
So I feel like that was a gimme.
01:09:13
Speaker
So it was an easy one.
01:09:14
Speaker
That was a gimme.
01:09:15
Speaker
It does a lot of different things.
01:09:17
Speaker
And, you know, AI, it can be trained.
01:09:20
Speaker
It's all trained on something, trained to do something.
01:09:23
Speaker
So when you have an algorithm, that's one thing that was trained to do one thing.
01:09:27
Speaker
It was trained on a certain kind of data to give a certain response, a recommendation, a classification, perceive something, qualify something, or make one decision.
01:09:35
Speaker
If you have multiple algorithms, each algorithm is trying to do another specific thing, perceive language, decision making, planning, prioritizing, and you put them all together into a model, that model can actually learn and it can actually program itself.
01:09:48
Speaker
So the algorithm gets smarter by doing all of those things and discovering what is the meaningful data, what's the most meaningful data that it could make the decisions by.
01:09:57
Speaker
All right.
01:09:58
Speaker
Next one, truth or trash?
01:10:00
Speaker
The data to wisdom progression steps are as follows, except for one.
01:10:05
Speaker
So you're looking for the one.
01:10:07
Speaker
Which of the following is not a step?
01:10:10
Speaker
Data, information, knowledge, optimization, wisdom.
01:10:15
Speaker
Okay, I was kind of going back and forth here on optimization and wisdom because I'm like, wisdom?
01:10:22
Speaker
Okay, but I'm going to go with optimization.
01:10:25
Speaker
I was going to say the same because I think optimization comes after optimization.
01:10:30
Speaker
Kind of, yeah.
01:10:31
Speaker
So it's true, yes, but it doesn't have to be optimization.
01:10:36
Speaker
It's D-I-K-W, data, information, knowledge, and then wisdom.
01:10:40
Speaker
The wisdom can be used to do any of those things, to perceive, to classify, to plan, to make a decision, to optimize.
01:10:46
Speaker
Optimize is a maximization, a minimization, a multivariate optimization is what it's called.
01:10:50
Speaker
So you're making that decision.
01:10:51
Speaker
So that O is not in there.
01:10:53
Speaker
And if you look at D-I-K-W, it's in knowledge in general.
01:10:56
Speaker
It's getting from data to wisdom.
01:10:58
Speaker
It's not just AI, it's not just technology.
01:11:00
Speaker
It's a learning process.
01:11:02
Speaker
Yes.
01:11:04
Speaker
Yep.
01:11:04
Speaker
Data, contextualize it, structure it, scale it, information, look for patterns, trends, correlations, cause and effect, knowledge.
01:11:10
Speaker
And then you turn that into something that you can apply to a decision.
01:11:13
Speaker
Application.
01:11:14
Speaker
Yep.
01:11:14
Speaker
All right.
01:11:16
Speaker
Last one.
01:11:17
Speaker
All right.
01:11:17
Speaker
We're looking for a word here.
01:11:19
Speaker
So the word blank is,
01:11:21
Speaker
is a point in time metric that describes the lingering stress from one or more training sessions based on specific types of training stress induced.
01:11:30
Speaker
Is it normalized training stress or residual training stress?
01:11:35
Speaker
I think the context clue here, Jeff, is lingering stress.
01:11:39
Speaker
Bingo.
01:11:40
Speaker
I'm going to go residual.
01:11:42
Speaker
You just covered it.
01:11:43
Speaker
Yes.
01:11:44
Speaker
Correct.
01:11:45
Speaker
We talked about that a little earlier.
01:11:47
Speaker
So the stress of an activity is related to, but it's not the same thing as the lingering stress after that.
01:11:54
Speaker
Depends on the type.
01:11:55
Speaker
So that residual train stress is the value that dissipates over time.
01:11:58
Speaker
So same workout.
01:11:59
Speaker
And, you know, it's going to dissipate based on train stress type.
01:12:03
Speaker
Well, that's pretty impressive.
01:12:07
Speaker
You're not going to revoke my badge.
01:12:09
Speaker
You're not going to give us a bonus one and really stump the band.
01:12:13
Speaker
Oh no, please don't.
01:12:15
Speaker
No, okay.
01:12:16
Speaker
I'll close the door on that really quickly.
01:12:18
Speaker
Hey Jeff, this was absolute gold.
01:12:22
Speaker
Thank you for doing this with us.
01:12:24
Speaker
Hey, we would love to ask you to stick around if we can keep you hostage for just a couple more minutes.
01:12:29
Speaker
Our next segment is the try.workout of the week.
01:12:32
Speaker
Every week we do a readout of our favorite.
01:12:35
Speaker
It might be seasonal or what have you, or it might just been the workout that we love the most this week.
01:12:40
Speaker
So thank you.
01:12:41
Speaker
April, I'm going to kick it to you and then we'll, maybe we can have some fun talking about it
Race Completion and Recovery
01:12:47
Speaker
too.
01:12:47
Speaker
Yeah, I love that.
01:12:48
Speaker
I understand I've got some big shoes to fill right here talking about this, but okay.
01:12:54
Speaker
So just for you to know, Jeff, I did actually both of us, Rich and I both did Xterra Lori last weekend, which was an off-road triathlon, my A-race for the year.
01:13:08
Speaker
It was Rich's first ever
01:13:11
Speaker
off-road triathlon, mountain bike specifically.
01:13:14
Speaker
Broken rib to prove it.
01:13:18
Speaker
But we both nailed it.
01:13:20
Speaker
Honestly, I was really impressed with both of us how well we did.
01:13:24
Speaker
And that just comes down to, again, the training behind all of this.
01:13:28
Speaker
So with that being said, we had a recovery week, or at least I did.
01:13:33
Speaker
And one of my
01:13:35
Speaker
workouts this week was a smooth swim.
01:13:37
Speaker
And it's one of my favorites too, because I actually feel like I can put one to work the tri-dot pull school skills that I've learned in the drill in the warmup and then actually focus on form while executing in zone two and working on those specific drills.
01:13:53
Speaker
So today's workout is going to be the smooth swim.
01:13:57
Speaker
And it's all about dialing in your form, body position and relaxation.
01:14:02
Speaker
while also building endurance in the water and kind of coming off of a really stressful training and then into race.
01:14:09
Speaker
We want to be able to recover using techniques and workouts like the smooth swim.
01:14:14
Speaker
So we're progressing through various drills to enhance our stroke efficiency and swimming technique.
01:14:21
Speaker
It's not about speed.
01:14:22
Speaker
It's about quality movement and precision and recovery.
01:14:26
Speaker
So we're going to break it down.
01:14:28
Speaker
So the warmup, depending upon what you see in TriDot, if you've gone to pull school, you will see TriDot pull school specific drills, which is just fabulous.
01:14:40
Speaker
But if you haven't, you're going to get personalized drills for you that will help you with warming up.
01:14:45
Speaker
So it really does depend on what your settings are.
01:14:49
Speaker
But I'm going to go over what was in mine specifically.
01:14:53
Speaker
And we're focusing on building muscle memory that will carry us through the main set.
01:14:57
Speaker
So today I had four by 25, a tryout pull school kick with fins, and I would rest 15 seconds at the wall between each 25.
01:15:07
Speaker
And then I had fast with breathing and that's essentially learning how to get into fast position while also breathing on that one side using what we call a Popeye.
01:15:18
Speaker
But basically adding breathing to our fast stroke technique, remembering that good breathing is key for maintaining energy in longer sessions.
01:15:27
Speaker
And then I had paint the rail and finished with fast one fast.
01:15:34
Speaker
And if you come to TriDotPullSchool, you're going to learn what these are.
01:15:37
Speaker
But basically, we're learning how to alternate between our stroke.
01:15:42
Speaker
And the goal is, again, to control speed, not just to go fast for the sake of it, but learn how to stay relaxed and efficient at any pace.
01:15:50
Speaker
And then I got ready to go into my main set, which was...
01:15:56
Speaker
Staying relaxed, it was a 150 at zone two.
01:16:00
Speaker
So 150 yards for me, I swim in a yard pool with a 10 to 20 second rest
01:16:07
Speaker
between my 150 and then a 50 drill.
01:16:10
Speaker
And I love this because this workout, you kind of get to choose what feels good.
01:16:15
Speaker
So the drill wasn't specific.
01:16:17
Speaker
So I chose one thing that I'm still working on is my kick.
01:16:21
Speaker
So on my drills, I chose using a kickboard and focusing on specifically my kick efficiency.
01:16:30
Speaker
And then I went into a 100 by zone two with another 10 to 15 second rest, maintaining steady pace.
01:16:38
Speaker
And then we had a little bit of speed, 50 at zone three with a 10 second rest, and then another 50 with a drill.
01:16:46
Speaker
And I literally repeated that.
01:16:48
Speaker
I actually did four sets for the duration of the workout.
01:16:52
Speaker
Felt amazing.
01:16:54
Speaker
And then did a cool down with another set of drills from the warmup.
01:16:59
Speaker
So giving you that workout, that is how I executed smooth swim.
01:17:04
Speaker
But I want to hear from you gents.
01:17:06
Speaker
What do you think about this workout?
01:17:08
Speaker
I'm your coach.
01:17:09
Speaker
I'm your coach and I can see your train, your train X score.
01:17:12
Speaker
Okay.
01:17:14
Speaker
Okay.
01:17:14
Speaker
Don't, don't judge me coach because I try very hard.
01:17:20
Speaker
No, it's great.
01:17:20
Speaker
No, it actually is.
01:17:22
Speaker
It's turning bright red right now.
01:17:24
Speaker
It was great about it is it's like one of those things that would prompt a conversation, right?
01:17:28
Speaker
Because, you know,
01:17:30
Speaker
You had some below pace and some above pace, and it would be like, hey, what was going on there, right?
01:17:37
Speaker
So it would facilitate the conversation, which is exactly what it's supposed to do, right?
01:17:42
Speaker
Give that transparency and visibility.
01:17:44
Speaker
So love that conversation.
01:17:49
Speaker
workout breakdown i want to hear what jeff has to say though that was great so great explanation great elaboration uh rich i would throw in just a couple of maybe pointers of things to think about uh swimmers are doing fast think of fast uh you go through that the position that's your balance so you're in that fast position kind of swimming with one arm in front on side practicing your breathing it's staying balanced
01:18:13
Speaker
and doing this breathing drill going from other side.
01:18:14
Speaker
You're trying to find balance on each side so you're relaxing in the water, staying taut, long, long, strong stroke.
01:18:21
Speaker
and being that's your main thing is finding balance.
01:18:24
Speaker
Think about running or cycling or anything else without balance.
01:18:28
Speaker
You're going crazy.
01:18:28
Speaker
So in the water, you want to achieve balance and it's through that fast position.
01:18:33
Speaker
On your choice of the kick drill, think about kicking, you know, small little flutter kicks, but the tip I just offer one, and that would be to let your ears be your coach.
01:18:44
Speaker
So you're swimming and you hear nothing
01:18:47
Speaker
That means your feet are underwater and you're not kicking, your feet are too low.
01:18:50
Speaker
If you're hearing kaplunk, kaplunk, kaplunk, your feet are too high, you're kicking the air, so you're going nowhere.
01:18:55
Speaker
You want to hear rapid boil.
01:18:57
Speaker
So when you're kicking, you should hear a rapid boil.
01:18:59
Speaker
So you're not hearing kaplunking and you're not hearing nothing.
01:19:01
Speaker
So as you're doing kick drills, kickboard, going to listen, you don't have to turn down and look or do anything.
01:19:06
Speaker
If you hear a rapid boil, your feet are at the right level and your body is horizontal.
01:19:10
Speaker
You get that good body position.
01:19:13
Speaker
Excellent coach.
01:19:14
Speaker
Thank you.
01:19:14
Speaker
Gold.
Closing Remarks
01:19:15
Speaker
Yes.
01:19:17
Speaker
Jeff, this was amazing.
01:19:18
Speaker
Thank you for spending your Friday evening with us.
01:19:20
Speaker
We really do appreciate your time.
01:19:22
Speaker
This has been a blast.
01:19:23
Speaker
It's been a pleasure.
01:19:25
Speaker
You have a welcome mat.
01:19:27
Speaker
You can come back anytime.
01:19:29
Speaker
We hope that we can get you back on shortly, not too distant future.
01:19:33
Speaker
See you in four weeks in Colorado Springs.
01:19:35
Speaker
Yes.
01:19:36
Speaker
Oh, that's right.
01:19:37
Speaker
Oh, I love that.
01:19:38
Speaker
Yeah, this is a great preview of what you might get.
01:19:42
Speaker
Yeah, primer.
01:19:43
Speaker
Yeah, exactly.
01:19:44
Speaker
I love that we were able to tie in some coaching right here on the spot.
01:19:49
Speaker
with you too, Jeff.
01:19:50
Speaker
That just gives you a little appetizer for how amazing TriDot Pool School is.
01:19:54
Speaker
Can't say that enough.
01:19:56
Speaker
Well, that was awesome.
01:19:58
Speaker
Folks, thanks for listening this week.
01:19:59
Speaker
Be sure to follow us at 303 Triathlon and at Grit to Greatness Endurance.
01:20:03
Speaker
And of course, go to iTunes and give us a rating and a comment.
01:20:06
Speaker
We would really appreciate that.
01:20:08
Speaker
And please give us feedback on today's show.
01:20:10
Speaker
We really want to hear what you took away from this and what other questions you have.
01:20:15
Speaker
Stay tuned, train informed, and enjoy the endurance journey.
01:20:19
Speaker
For your 303 Endurance Podcast.
01:20:20
Speaker
It's your 303 Endurance Podcast.
01:20:21
Speaker
It's your 303 Endurance Podcast.
01:20:23
Speaker
It's your 303 Endurance Podcast.
01:20:57
Speaker
Endurance Podcast.