AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Data Driven Strength Podcast
Episode 12- The Individualization Process
Mar 30, 2021
The podcast discusses the importance of individualized training and introduces a cost-effective option for personalized programming. They talk about individualizing training variables, completing training cycles for clarity, and the benefits of individual attention. They also highlight a product that offers solid programming and coaching benefits.
41:53
AI Summary
AI Chapters
Episode notes
Podcast summary created with Snipd AI
Quick takeaways
- The total training dose, including factors such as volume, proximity to failure, and load, is crucial for individualizing training and setting a foundation for progress.
- Setting constraints and having a systematic approach with defined windows for adjustments allows for more effective progress in individualizing training.
Deep dives
Individualization is Key
The podcast episode discusses the importance of individualizing training for athletes. The hosts explain that one-on-one coaching has inherent limitations in terms of scalability and cost, leaving many lifters without access to personalized training. To address this issue, the hosts have developed a product that offers cost-effective individualized programming and a self-coaching toolkit. The goal is to provide lifters with the benefits of individualization, helping them make progress and refine their training in the long term.
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode