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New Participant
May 15, 2025
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Adjusting work week in Workload Balancer

  • May 15, 2025
  • 1 reply
  • 580 views

Hey, is there a way to adjust work week in balancer for each employee separately, e.g. if I need one person to work only Thu-Fri and the other one on Mon-Wed? If I enter their schedule it gets distributed throughout the full week and I need 8h daily but only on 2 or 3 days for part timers, the rest of days should be greyed out the same way weekend is, thanks in advance!

Best answer by Rafal_Bainie

If I'm getting this question right, to achieve such effect:

where user 1 is working: mon-tue, thu-fri

user 2 is working tue-thu

user 3 same as user 1

You need to create schedules for these users that would have the right configuration, e.g. for user 2:

and assign these schedules to users accordingly.

I hope this helps

 

1 reply

Rafal_Bainie
Rafal_BainieAccepted solution
New Participant
May 15, 2025

If I'm getting this question right, to achieve such effect:

where user 1 is working: mon-tue, thu-fri

user 2 is working tue-thu

user 3 same as user 1

You need to create schedules for these users that would have the right configuration, e.g. for user 2:

and assign these schedules to users accordingly.

I hope this helps

 

Kate8Author
New Participant
May 19, 2025

Thanks Rafal! I was wondering if there is a solution for people with a fluid shift, where one week they work Monday-Wednesday but let's say next one they work Monday-Tuesday and Friday. would we need then to update schedule for them every week? is there a way users do it themselves that you know of? 

Rafal_Bainie
New Participant
May 19, 2025

that's a pain if someone needs to adjust this for a user, but the only alternative would be to have a group with a user, and grant that group admin access to a schedule. Than they could adjust this on their own via setup area.

However as a result Balancer would randomly show over/under allocation for any week different than the current one if someone isn't on any sort of "fixed" schedule.

This is far from optimal