When you apply a scale after a cognitive task, you are doing something simple but powerful. You are asking the athlete not just what they did, but how it felt.
Performance data tells you what happened. Reaction time, accuracy, variability. That is the objective side. Scales tell you how the athlete experienced the workload. That is the subjective side. You need both.
The three scales and what they capture
Adding RME, RMF, or RPE after a task takes only a few seconds, but it gives you context that raw data alone cannot provide.
RME reflects how mentally demanding the task felt. How much focus did it require. How much concentration did it drain.
RMF captures how mentally tired the athlete feels after completing the task. Not how hard it looked or how hard it should have been. How tired they actually feel.
RPE is most useful when you are combining physical and cognitive work. It reflects overall exertion and gives you a read on total system load.
Where the coaching value appears
The real value shows up when you compare what the athlete says with what the data shows.
Sometimes an athlete will rate a task very low for fatigue. They say it felt easy. But when you review the data, reaction times are slowing, accuracy is dropping, and variability is increasing. Objectively, performance is breaking down. Subjectively, they do not feel it. That gap tells you something important about their fatigue awareness.
The opposite can also happen. An athlete may rate a task as very demanding or mentally exhausting. But when you look at the data, performance is stable. Reaction times are consistent. Accuracy is strong. Their perception of difficulty is high, but their capacity is holding.
Now you have a different coaching opportunity. Maybe their tolerance to discomfort is low. Maybe they interpret effort as overload. Or maybe they simply need confidence in what they are capable of sustaining.
In both scenarios, the comparison between perception and performance gives you insight you would not get from metrics alone.
Patterns over time
Over time, these patterns matter. You begin to see who underestimates fatigue, who overestimates difficulty, and who becomes more accurate in their self-assessment as training progresses.
It also becomes a valuable discussion point during monthly check-ins.
You might say: "You rated this task high for fatigue, but your performance stayed very stable. Talk me through how it felt."
Or: "You rated this low, but I am seeing a clear performance drop here. What was going on?"
Those conversations improve awareness.
Scales are not just extra data points. They act as a filter. They help you separate true capacity from perceived capacity. When subjective ratings sit alongside objective performance, cognitive load becomes something you can actually see and manage.