Leveraging Cross-Industry Insights for Peak Performance
The Art of Performance: Ballet Meets F1 in the REFRAME Model
In a fascinating crossover between the worlds of Formula 1 racing and ballet, Paul Teasdale introduces the REFRAME model on The Jens Heitland Show, showcasing a novel approach to boosting team performance. The model draws inspiration from an unconventional partnership where Formula 1 pit stop crews collaborated with ballerinas to refine their precision and grace under pressure.
This collaboration highlights the importance of movement efficiency and teamwork, qualities that ballet dancers master over years of rigorous training. By integrating these principles into the fast-paced environment of Formula 1, teams were able to enhance their coordination and speed, proving that high performance can transcend industry boundaries.
Teasdale's REFRAME model is not just about adopting techniques from disparate fields; it's about adopting a mindset that actively seeks out fresh perspectives and innovative solutions. By looking beyond the conventional confines of their industry, professionals can uncover valuable insights and methodologies that propel them to new heights of excellence.
This model serves as a testament to the power of cross-disciplinary learning and its potential to revolutionize the way teams operate. Whether it's the meticulous precision of ballet or the strategic foresight of chess, there are lessons to be learned and applied to any field, driving performance in ways previously unimaginable.
Timecode:
00:00 Introducing the REFRAME Model: Learning from the Unexpected
00:27 The Power of Cross-Industry Inspiration for Performance Enhancement
Guest Links:
Paul Teasdale on linkedin: https://www.linkedin.com/in/pauljamesteasdale/
Website: https://paulteasdale.co.uk/
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Check out the full Episode here.
Transcript:
AI generated:
📍 📍 The first time it really came to me was sitting with a client and they were talking about the fact that they had invested tens of millions of euros in a new site.
And they didn't know how to get more performance out of it. They didn't know what was going on. It's like, we've got all this new data,
all this new data that's coming through,
but we're not getting the performance. Why is it? And we started to talk about the approach that we take in the world of F1,
where yes, you can get more and more data.
But more data comes at more cost, because it actually costs you weight on the car,
which slows you down.
Oh yeah.
I've always been good at sort of contextualizing this stuff and putting it into a practical term. And what was happening was, if you think about data that you're consuming on a day to day basis, just the stuff on your phone, the reports that you get in work, you know, the new formats that all this data comes at you, it's cognitive load.
It's, it's It's mind space. Yeah. And so there's always been an assumption that more data leads to better performance, but actually it's the right data formatted in a way that gives people insights that leads to better performance. And that whole sort of flipping things on its head a little bit because most organizations came to us at McLaren because we were so data intense and so good at analyzing and predicting and modeling and all this sort of stuff.
And so. They always thought, how are we going to get more data, what are we going to do with all this data? And we said, no, let's flip it on its head. Start with the results, understand the smallest possible data set. And then you can start to move forward.