Why are the pace ranges for some of my workout steps so wide?

It is not uncommon to see pace targets with a broad range, particularly in sessions like Progression runs. While other platforms often provide narrow, fixed targets, TrainAsONE uses a more sophisticated, data-driven approach.

1. Evidence-Based Ranges (Not Arbitrary Margins)

Most training apps apply a simple, "one-size-fits-all" margin (like 5% or 15 seconds per km). TrainAsONE avoids this because it isn't scientifically sound.

Our ranges represent a Confidence Interval of physiological benefit. The spread shows the window of pace that the AI calculates will provide the intended training effect for you today. A wide range simply means the AI has identified a broader "benefit window" where you can achieve the workout's goal without unnecessary strain.

2. The Impact of "Noisy" Data

The AI builds your profile based on your history. If your recent data is "noisy" — perhaps due to running on varied terrain (hills vs. flats), extreme weather, or inconsistent GPS data — it becomes mathematically harder to pinpoint a single, narrow pace.

In these cases, the AI’s regression model widens. Rather than "guessing" at a precise target that the data doesn't support, the system provides a wider window that it knows will still result in the correct training stimulus.

3. Workout Specificity (Progression vs. Intervals)

The type of workout dictates the width of the range:

• High Specificity (Intervals/Threshold): These sessions have "tighter" ranges because the physiological adaptations occur at very specific intensities.

• Low Specificity (Progression Runs): There is less scientific evidence suggesting that Progression runs require a pinpoint intensity to be effective. Because the "benefit window" is naturally broader for these runs, the AI reflects that flexibility in the plan.

4. How to follow a wide-range workout

When you see a broad pace target, use it to your advantage:

• Reduce Training Stress: You don’t need to obsess over your watch. As long as you are within the range, you are "winning" the workout.

• Listen to Your Body: If you feel fresh, aim for the faster end of the range. If you’re feeling the effects of a long week, stay toward the slower end.

• Focus on Consistency: As you record more "clean" data (runs on consistent terrain with good sensor data), the AI’s confidence will increase, and these ranges will naturally tighten over time.