1) Workload evolution at individual and team levels
From their team home, team managers have a clear overview of where each team members stands in terms of mood and workload.
From there, they can deep dive in their team members detailed answers to understand better the situation and its evolution.
Managers also have visibility on the evolution over time clicking on "more metrics".
The latter view on consolidated indicators is also accessible by the account admins from their Company settings.
2) Workload evolution at company level
The workload and associated score are directly based on team members 1:1 responses.
This indicator reflects how your team feels about their workload.
The question is asked to team members with the following format and 5 possible answers:
Not enough work
I can do more
All good
I have a lot to do
Too much work
For instance, if someone respond that their week was "ok" but "stressful", we will consider their mood as neutral-negative.
On this basis we score the result on a scale from 0 to 5 which defines whether this workload is good, manageable or unbalanced:
Good: "All good" answer (scored 5)
Manageable: "I can do more" OR "I have a lot to do" answers (scored 2.5)
Unbalanced: "Not enough work" OR "Too much work" answers (scored 0)
For a selected time period, the average score is computed per user first and then for all the people in the selected perimeter, if applicable.
This workload scoring method allows Popwork to provide managers and admins with a comprehensive view of workload evolution and distribution over time. This also helps to triggers workload alerts on people.
As a reminder, the manager still have the raw response from their team member and is only provided with the score to get some historical perspective.