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Science — Physiology Response

2 min read·Applies to: Montis AppChatGPT & ClaudeOpen in the Montis App

The question this layer answers

How is the athlete responding to the training stress that has been applied?

Physiology Response is deliberately separate from Training Load.

Two athletes can complete the same training load and show very different physiological responses. The same athlete can also respond differently to similar load at different points in a season.

Montis therefore evaluates available recovery and autonomic evidence alongside load context.

Current engine-supported signals include:

  • HRV;
  • HRV ratio relative to baseline;
  • HRV trend;
  • resting heart rate change;
  • sleep;
  • subjective fatigue;
  • subjective stress;
  • subjective soreness;
  • current CTL, ATL and TSB / load pressure;
  • environmental context where available.

HRV is a signal, not a verdict

HRV is one of the strongest autonomic signals in the Montis stack, but Montis does not treat an isolated HRV value as the coaching decision.

The engine can use:

  • current HRV relative to baseline;
  • HRV trend;
  • HRV ratio.

HRV contributes to physiology interpretation and is also available as a direct ADE guardrail.

In ADE:

  • HRV ratio below 0.90 is treated as suppressed;
  • HRV ratio from 0.90 to below 1.00 is treated as mildly reduced;
  • HRV ratio at or above 1.00 supports a stable autonomic state.

These are ADE guardrails and should not be confused with the separate reference bands shown on the Wellness dashboard.

Physiology State

The physiology layer resolves the available signals into a physiological-response state.

This state describes what the recovery evidence is showing. It does not override:

  • Training State;
  • Performance Intelligence;
  • phase governance;
  • event governance;
  • final training guidance.

This distinction is important.

A stable physiology state does not automatically mean the athlete should add training load. A poor single wellness metric does not automatically mean training should stop.

The next layer asks whether performance and training execution show that the athlete is actually absorbing the load.

Dashboard wellness versus coaching physiology

The Wellness dashboard includes both coaching inputs and additional context.

Current direct or supporting engine inputs include:

  • HRV;
  • resting HR;
  • sleep;
  • subjective wellness where available.

Additional dashboard indicators such as Body Battery and daily steps can provide useful context but are not currently direct ADE inputs.

Therefore:

Wellness Dashboard = observation

Physiology Response = interpreted recovery evidence

ADE = governed coaching decision