Model the coaching intelligence data layer - defining how structured inputs (intake questionnaires, training goals, fitness baselines, injury/pain history) and unstructured inputs (coach notes, athlete feedback, session RPE) are organized, linked, and exposed for consumption by the AI Coaching Engine and coaching dashboards. Design the NSRL-to-athlete data model - the schema that translates Nike Sport Research Lab's sport science constructs (Horwill's predictors, Daniels VDOT, Acute Chronic Workload Ratio, training periodization models) into production-ready data structures that coaching algorithms can consume at scale.