Organizational Intelligence

Team Admin sees everything flowing through the system and surfaces patterns no individual could spot. Not dashboards with charts — actual insights that tell you what's happening, why it matters, and what to do about it.

  • Injury pattern detection: correlates training loads, travel schedules, academic stress periods, and sleep data to find the real causes
  • Player development tracking: who's improving fastest, who's plateaued, and what interventions correlate with breakthroughs
  • Attrition prediction: identifies disengagement patterns — missed check-ins, declining wellness, reduced communication — before a player announces they're leaving
  • Compliance and reporting: automated Title IX metrics, eligibility audits, and program health reports for administration
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Organizational Intelligence — Weekly Report
Injury Risk Pattern Your program's soft tissue injury rate is 2.4× higher in weeks following away games. The data suggests this correlates with travel day disruption to sleep and recovery routines, not the games themselves. Recommendation: implement structured recovery protocols for the 48 hours following road trips.
Attrition Signal Two players are showing early disengagement patterns that preceded 4 of last year's 6 transfers: declining wellness check-in completion (both below 40% this month), reduced communication with coaches, and missed optional training sessions. These patterns typically become visible 6-8 weeks before a transfer decision.
Development Breakthrough The freshmen group's strength development is 18% ahead of last year's class at the same point in the season. The primary differentiator appears to be the individualized programming — load prescriptions based on daily readiness instead of fixed percentages are producing faster adaptation with fewer missed sessions.
Benchmarking Your training volume per athlete is 12% above the average for comparable D2 programs. Your injury rate is 8% below average. This suggests your load management approach is working — athletes are doing more work with fewer breakdowns than peer programs.