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Quality & Trends

Session Quality Trends

Also known as: Training State, Readiness Trend

A composite assessment of your training trajectory based on effort delta trends and adherence trends over your last 6 completed sessions.

Linear regression on effort deltas (slope > 0.05 = "creeping up", < -0.05 = "under-reaching") combined with adherence trend (slope > 0.02 = "improving", < -0.02 = "declining"). Overall state: improving / stable / risk / insufficient data.

Effort trend: stable. Adherence trend: improving. Overall state: "Improving" — you're getting more consistent while staying within prescribed intensity.

Quality trends appear in coaching dashboards and feed into the AI's weekly plan generation. A "risk" state (creeping effort + declining adherence) may prompt a deload recommendation or plan adjustment.

Who / ContextValueNote
ImprovingMore consistent + on-target effortIdeal trajectory — keep going
StableTicking along fineNo action needed
RiskEffort creeping up + adherence droppingClassic pre-burnout pattern — consider deload
Insufficient data< 2 completed sessionsKeep logging — trends need data
Runner's equivalentACWR > 1.3 = injury riskSame concept, different math
  • Requires minimum 2 completed sessions for any trend, and the regression is more meaningful with 4-6 data points. Early in a program, the trend is unreliable.
  • The regression slope thresholds are static (0.05 for effort, 0.02 for adherence) and not individualized. Athletes with naturally higher session-to-session variance may trigger false "risk" flags.
  • The overall state is a simple rules-based classification, not a machine learning model. It captures common patterns but may miss nuanced scenarios.

Monitoring training load trends is a well-established practice in sports science. The acute:chronic workload ratio (ACWR) is a more sophisticated approach used in team sports; our trend analysis is a simplified version of this concept applied to session-level metrics.