Trainingload.ai
User Guide

Dashboard

Use the Trainingload.ai dashboard to review training trends, filter by time and sport, customize cards, and connect summary signals with deeper metric pages.

Dashboard

The dashboard is the fastest way to understand your recent training pattern. It combines summary cards, fitness status, and configurable overview metrics.

Use it when you want to answer:

  • How much have I trained recently?
  • Is my load rising, stable, or falling?
  • Which sport is driving the trend?
  • Do I need to look deeper at activities, PMC, power, pace, or heart rate?

Filters

The dashboard supports global filters:

  • Time range: switch between recent periods.
  • Sport type: focus on running, cycling, swimming, or all activity.

When you change filters, the cards and charts update to match the selected context.

Fitness status

Fitness status cards summarize the current training picture. They are meant for scanning, not final decisions.

Common signals include:

  • Long-term load and fitness trend.
  • Recent fatigue.
  • Readiness/form context.
  • Training consistency.

For the underlying model, read:

Overview cards

Overview cards summarize activity volume and performance-related metrics. Depending on your data, they can include distance, duration, elevation, heart rate, power, cadence, and other training fields.

Use overview cards to spot changes, then open the relevant page for detail:

  • Activities for the workouts behind the numbers.
  • PMC for load trend.
  • Power for FTP, CP, NP, VI, and power curve context.
  • Pace for running pace, GAP, NGP, and best-distance views.
  • Heart Rate for HR response, zones, EF, and decoupling.

Edit layout

On desktop, the dashboard supports editing the layout of key sections. Use this when you want the dashboard to match your training focus.

Examples:

  • Put load and consistency first during base training.
  • Put power or pace metrics first during a race-specific block.
  • Keep recovery and fatigue visible when returning from a high-load week.

After editing, save the layout so the dashboard opens in the same structure next time.

How to interpret dashboard changes

Do not overreact to one card changing for one day. A better workflow:

  1. Check whether the time range and sport filter are correct.
  2. Open recent activities behind the change.
  3. Compare load with subjective fatigue.
  4. Use AI Coach if you want a plan-aware interpretation.

The dashboard is your starting point. The decision should still consider the plan, recent workouts, and how you feel.