Trainingload.ai
User Guide

Training Analysis Workflow

A practical workflow for turning training analysis into daily decisions using plan vs actual, training load, and AI review.

Training Analysis Workflow

Training analysis is useful only when it changes a decision.
Use this workflow to avoid collecting metrics without acting on them.

Step 1: Compare plan vs actual

Before reading any score, answer:

  • What was planned?
  • What was completed?
  • Which key sessions drifted?

If you skip this step, load metrics lose context.

Step 2: Read load and response together

Use these signals as a set:

  • CTL: long-term load trend.
  • ATL: recent stress.
  • TSB: freshness context.
  • effective VO2max trend: whether stress is translating into performance.

Load tells you pressure. Response tells you adaptation.

Step 3: Draft one conservative change

Avoid changing everything at once.
Choose one primary adjustment:

  • Reduce intensity but keep frequency.
  • Keep intensity but trim duration.
  • Move one key session by 24-48 hours.

Then observe the next key session before adjusting again.

Step 4: Confirm and log rationale

Record what changed and why:

  • Trigger (e.g. ATL rising too fast).
  • Decision (e.g. threshold -> easy aerobic).
  • Expected outcome (e.g. protect quality in next long run).

This makes future reviews faster and more reliable.