Explore essential elements of decision-making in sports science, including performance determinants, KPIs, and structured processes. Understand how to define performance determinants and KPIs for specific sports, using examples to illustrate physiological, biomechanical, psychological, nutritional, and equipment-related factors. Learn about a comprehensive decision-making framework emphasizing collaboration, continuous evaluation, and refinement. Gain insights into applying decision-making processes through detailed examples tailored to athletes' needs and sports demands.

Introduction to sports science concepts Key concepts in sports science, like using scientific methods and data-driven approaches to optimize athlete performance and minimize injuries,. Data-driven approach in sports science Discussed how data plays a crucial role in sports science but decision-making based on intuition alone is insufficient. A data-driven approach using metrics, testing, and analysis is needed to make informed decisions Challenges of applying science in competitive sports Explained that while the rewards of success are enticing, the application of science is complex and slow, conflicting with the immediate demands of competition. Improving performance requires understanding these challenges. Need analysis and key performance indicators Outlined performing a need analysis by identifying sport-specific KPIs to understand performance gaps. Testing must replicate on-field behaviours to avoid bias. A holistic, evidence-based approach is required. Evidence-based vs practice-based knowledge Discussed evidence-based knowledge relying on literature but noted gaps that require practice-based evidence through experimentation and documentation to conduct research later.

Introduction to the Sports Weekly Podcast: what we will be talking about and how the journey will be.