Some form of subjective data visualization (i.e. Z score plots) can be misleading when there are gaps in the data between the athlete and their comparison group. These gaps make it harder to communicate the top line insights to athletes without looking at the raw values.
De-normalized spider and radar graphs are a quick way to compare subjective data on a scale and flag potential issues that impact athlete performance. They are an objective way to get insights into subjective data (e.g. athlete wellness) and to make it easier for athletes to understand. They can be used as a framework to drive meaningful discussions and decision making amongst coaches and athletes.
Using a spider graph to visualize subjective athlete wellness data, a sports scientist, physio, or head of performance can quickly identify here that James Smith has a lower sleep quality, mood, and readiness to train today compared to normal. These changes flag a potential issue with James, which could signal a conversation is in order with James to understand how he is feeling and to devise potential mitigation actions that can improve and drive his performance.