Count of values above & below the average

I have a table of data and I'm looking to create a visual that will show a distinct count of names of people who spend above & below the average amount of time on something - Literally 2 columns - X number of people above average, Y number of people below average

I've written a number of measures to get me to a point but my end result keeps giving me a distinct count of total records rather than a filtered value.

Any help & guidance would be much appreciated. 

Below is a sample data set, along with the measures i've written so far

Sample data:

Measure 1
Average total time spent per day (minutes) = [m. Sum of TimeMinutes]/12

Measure 2
Number of People = DISTINCTCOUNT('Table1'[Name])

Measure 3
Average time spent per person per day (Minutes) = [Average total time spent per day (minutes)]/[Number of People]

Final measure to give me number of people below the average time value that I can't get to work:

Count of People Below Average =
CALCULATE(
    DISTINCTCOUNT('Table1'[Name]),
    FILTER('Table1',
        [Average time spent per person per day (Minutes)] < 1.6
    ))

Thanks