meta_pixel
Tapesearch Logo
Log in
The TriDot Triathlon Podcast

Data iQ: Why Quality Data Matters

The TriDot Triathlon Podcast

TriDot Triathlon Training

Running, Fitness, Sports, Health & Fitness

4.9 • 629 Ratings

🗓️ 27 September 2021

⏱️ 64 minutes

🧾️ Download transcript

Summary

Data iQ™ (Input Quality) is a proprietary metric that reflects the quality of data you provide to TriDot to optimize your training program. Higher quality data input means higher quality outputs—analysis, predictions, optimization—that lead to better results for you. On today's episode, TriDot engineer, Cory Gackenheimer, and TriDot coach, John Mayfield, discuss how your data quality impacts your training, how to improve your Data iQ, and how your best results are made possible when you take steps to improve your Data iQ. Huge thanks to deltaG and Precision Hydration for partnering with us on this episode. To learn more about the performance boosting benefits of deltaG Ketones head to deltaGketones.com and use code TRIDOT20 for 20% off your order.  On their site you can: 1. Learn more about fueling with deltaG ketone products 2. Make a standalone purchase, or subscribe for ongoing deltaG ketone deliveries 3. Book a FREE 15 minute video consultation with Brian, an expert on exogenous ketones, and deltaG in particular, to discuss your individual goals and best choice of deltaG drink to exceed those goals. To learn more about Precision Hydration, head to precisionhydration.com and use code TRIDOT10 for 10% off your electrolytes and fuel. On their site, you can: 1. Take the free online Sweat Test to receive a personalized hydration plan. 2. Complete the Quick Carb Calculator to understand how many grams of carbohydrate you need to consume during your next race. 3. Book a free 20-minute video consultation with a member of the Precision Hydration team to discuss your fueling strategy.

Transcript

Click on a timestamp to play from that location

0:00.0

This is the TriDOT podcast.

0:03.9

TriDOT uses your training data and genetic profile combined with predictive analytics and artificial intelligence to optimize your training,

0:12.8

giving you better results in less time with fewer injuries.

0:16.8

Our podcast is here to educate, inspire, and entertain.

0:21.7

We'll talk all things triathlon with expert coaches and special guests.

0:26.9

Join the conversation and let's improve together.

0:32.6

Mmm, tasty episode of the podcast, plated and ready to serve up today.

0:39.1

On the menu is yummy, delicious data knowledge,

0:43.3

a specialty of ours here at Tridot,

0:45.8

and I have a predictive fitness software engineer

0:48.3

and a Tridot coach playing chef in the podcast kitchen

0:51.7

cooking up some conversation

0:53.8

about the importance of having

0:55.3

quality data in our training. So obviously, I went all in on the cooking metaphors here

1:01.3

in the intro today. Do I regret it? Maybe just a little. But there's no turning back now.

1:06.4

We're recording. We're rolling. Our first guest is predictive fitness software engineer, Corey Gackenheimer.

1:13.0

Corey is a full-stack software engineer from Warsaw, Indiana. He's worked as a software developer

1:17.6

for over 15 years and came on board full-time with the tritout dev team at the start of 2021.

1:24.9

As a trot ambassador, he finished his first Iron Man at Ironman, Florida in 2020. He's a CrossFit

1:30.4

Junkie. He's an Iron Man. He's a software engineer. Corey Gackenheimer, welcome to your first

1:35.0

full episode of the Trotot podcast. Thanks, Andrew. I'm super excited to be on. I wouldn't say I'm a

1:41.2

crossfit junkie because I can quit anytime I want. But I am happy to be on again, like I said, to talk about data IQ from the technical side of things.

...

Please login to see the full transcript.

Disclaimer: The podcast and artwork embedded on this page are from TriDot Triathlon Training, and are the property of its owner and not affiliated with or endorsed by Tapesearch.

Generated transcripts are the property of TriDot Triathlon Training and are distributed freely under the Fair Use doctrine. Transcripts generated by Tapesearch are not guaranteed to be accurate.

Copyright © Tapesearch 2025.