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This week, Richard Graves is joined by Anna Cruse, Assistant Athletics Director for Applied Health and Performance Science and Director of Football Performance Science at the University of Utah.
Anna’s route into sports science began as an international-level rower. Her interest in training, performance and data eventually took her from competing for the United States to helping develop the systems that support athletes across 19 sports at Utah.
In this episode, Anna explains how Utah has moved from manual data exports and generalised reporting to faster, integrated workflows that deliver relevant information to coaches and practitioners. She discusses why collecting more data is not always the answer, the importance of educating decision-makers and how greater context can prevent practitioners from drawing the wrong conclusions from a metric.
The conversation also explores individual athlete baselines, the limitations of fixed asymmetry thresholds and the need to make data specific to the athlete, position and sport. Anna also shares her perspective on artificial intelligence, including where it can improve performance workflows and why it should never replace qualified human judgement.
In this episode you will learn
About Anna Cruse
A former elite lightweight rower, Anna represented the United States at the World Rowing Under-23 Championships before moving into coaching, performance science and data analytics. Her career has included experience with the Philadelphia Union, Penn State and exercise intelligence company Svexa.
At Utah, Anna helps lead the systems used to collect, interpret and communicate performance information across the university’s athletic programme. Her work focuses on turning data into useful decisions while ensuring that technology and analysis remain grounded in good science and the needs of the individual athlete.
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By Science for Sport4.7
3232 ratings
This week, Richard Graves is joined by Anna Cruse, Assistant Athletics Director for Applied Health and Performance Science and Director of Football Performance Science at the University of Utah.
Anna’s route into sports science began as an international-level rower. Her interest in training, performance and data eventually took her from competing for the United States to helping develop the systems that support athletes across 19 sports at Utah.
In this episode, Anna explains how Utah has moved from manual data exports and generalised reporting to faster, integrated workflows that deliver relevant information to coaches and practitioners. She discusses why collecting more data is not always the answer, the importance of educating decision-makers and how greater context can prevent practitioners from drawing the wrong conclusions from a metric.
The conversation also explores individual athlete baselines, the limitations of fixed asymmetry thresholds and the need to make data specific to the athlete, position and sport. Anna also shares her perspective on artificial intelligence, including where it can improve performance workflows and why it should never replace qualified human judgement.
In this episode you will learn
About Anna Cruse
A former elite lightweight rower, Anna represented the United States at the World Rowing Under-23 Championships before moving into coaching, performance science and data analytics. Her career has included experience with the Philadelphia Union, Penn State and exercise intelligence company Svexa.
At Utah, Anna helps lead the systems used to collect, interpret and communicate performance information across the university’s athletic programme. Her work focuses on turning data into useful decisions while ensuring that technology and analysis remain grounded in good science and the needs of the individual athlete.
FREE 7d SCIENCE FOR SPORT ACADEMY TRIAL
SIGN UP NOW: https://bit.ly/SFSepisode241
Learn Quicker & More Effectively

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