Empirical Cycling Podcast Ten Minute Tips #68: Using Data In Coaching
Dec 11, 2025
Giddon Minas, a coach with a computer science background and a knack for data-driven coaching, dives into the complexities of using data in cycling training. He discusses the balance between scientific approaches and the unpredictable nature of human physiology. Giddon emphasizes the importance of individualized coaching while cautioning against overcomplicating plans. He also highlights the value of trusting metrics but maintaining context, and how strategic rest can enhance performance, ultimately making coaching both effective and enjoyable.
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Athletes Want Coherent Frameworks Not Biochemistry
- New coaches need not explain biochemistry; athletes want a coherent logical framework instead.
- Giddon Minas says clear reasoning on "what, why, and what's next" builds trust and guides decisions.
Physiology Is A Black Box Versus Software
- The human body is a complex black box compared to computer systems.
- Cole A. Moore warns coaches can lean on observable inputs and outputs without full mechanistic understanding.
Draw Practical Boundaries On Technical Detail
- Draw a practical line on how deep to investigate mechanisms; prioritize delivering value.
- Giddon Minas advises being confident enough to act and iterate rather than chasing perfect theory.
