Their productivity score would be 87%, with this breakdown:

Of that time, 30 minutes was added manually, the user was on unproductive apps/URLs for a total of 45 minutes. The percentage of core productive apps and URLs over total time spent.Įxample: An employee worked for 10 hours. the average work hours set based on their weekly limits. This is based on the average work hours spent by your team members vs. The bias should be on the left if a user is underworked and the opposite when the bias is on the right. – h elps managers balance workloads by setting targets for how much their team should work and inform them when members are under or overworked. You can also toggle left and right on select cards to see more highlights about each user/team. number of projects and/or tasks worked on per day. core work (percentage?) per day/week/month activity (percentage) per day/week/month. The highlights section will show you differences in metrics between teams/members using the below stats: Teams/member picker – allows you to choose teams or specific team member data.You can also change the timezone when you select the daily views (today/yesterday). Date picker and timezone selector – select the date range for the data you wish to view.Settings – allows you to define productive/unproductive URLs.The top section includes a snapshot of your team’s productivity for ease of access to critical metrics.

To see the functionality of each app, click here. App and URL data required for the productivity metric is recorded using desktop apps.

Hubstaff headquarters