Introduction
Coach notes in Lynk are not treated as static text. They are actively interpreted by Lynk AI to understand session context, athlete condition, and coaching intent over time. This allows Lynk to support continuity, planning, and intelligent recommendations across sessions.
How Lynk AI processes coach notes
When a coach saves notes for a session, Lynk AI:
Reads the notes to identify key performance signals, concerns, and observations
(for example: weak footwork, low confidence, fatigue, injury constraints)
Extracts themes and intent, even when notes are conversational or voice-recorded
Normalizes language into structured insights so that meaning remains consistent across sessions and coaches
Where Lynk AI suggestions appear
Insights derived from coach notes may surface in:
Insights view, highlighting risks, improvements, or focus areas
Session planner context, helping coaches prepare the next session more effectively
Progress reporting, where qualitative notes support quantitative metrics
What coach notes do not do
Notes are not shared with students
Notes do not overwrite factual session data like attendance or duration
AI suggestions are assistive, not mandatory instructions
Summary
Coach notes act as high-signal qualitative input for Lynk AI. By interpreting patterns, context, and progression from notes, Lynk helps coaches maintain continuity, plan smarter sessions, and respond earlier to issues that numbers alone cannot show.