Performance hit after model change

Hi,

I updated model of one of my reports recently and noticed that it caused huge performance hit when filtering by clicking on visualizations. It works fine when I click on my table visualization but clicking one of other charts makes table reload for like five minutes. I used DAX Studio to see if there is any partiular query that makes it so bad and there is - partialy. The query runs for 70-80 seconds on average but full reload still takes up to five minutes. You can find the old query here and the new one here.

I do realize those queries might not be enough to solve the issue. Can you provide me with any guidence what more information should I post to let you help me? Maybe my measures and other two DAX queries autogenerated would be helpful too?

EDIT:

I worked a little with DAX Studio and managed to identify most problematic measures. Can anyone help me fix them, write them better?

planned = 
    SUMX(
         KEEPFILTERS(VALUES(WorkStatuses[certain_operation]));
         CALCULATE(SUM(WorkStatuses[duration])/Count(WorkStatuses[duration]))
    )

actual = 
    SUMX(
         KEEPFILTERS(VALUES(WorkStatuses[certain_operation]));
         CALCULATE(SUM(WorkStatuses[Hours]))
    )

The idea behind those measure is there are rows, each has ProjectId, TaskId, EmployeeId, PlannedTime, WorkedTime. When two employees work on the same task we have to sum that time but don't sum time planned. So example data are:

The expected output of planned measure is to be 2h, however actual should return 1.75h. Is it possible to make it work efficient?