Goodness-of-fit value when comparing a distribution to another

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(Not a mathematician writing here)

Hi there I would like to find out if the workload distribution within a team conforms to an equal distribution. To that end, I would like to derive a value in the range $[0,1]$ to indicate how well the distribution conforms to the equal distribution. I know that the $\chi^2$ test can be used to test if a distribution conforms to a "target" distribution, but can I translate this to a meaningful number in the range $[0,1]$?

Thanks for your toughts about this!

Best Daniel