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Team Analytics

Team Analytics is the manager-level view that shows productivity for a slice of the organization filtered by project, employee, or role. It surfaces team-size headcount, total hours, and team productivity %, alongside a daily screen-time breakdown, top applications, and a sortable team-members table.


Filters​

The filter bar at the top of the page lets a manager scope the view:

  • Start Date / End Date — Defaults to the last 7 days
  • Project — Filter to a single project, or All Projects
  • Employee — Filter to a single employee, or All Employees
  • Role — Filter by job role, or All Roles
  • Exclude Weekends — Toggle to omit Saturday and Sunday from calculations
  • Reset — The circular arrow icon resets all filters
  • Export — Download the filtered view as CSV

Summary Tiles​

Three header tiles show the team's high-level state:

  • Team Members — Count of distinct users in the filtered scope
  • Total Hours — Total productive + unproductive hours for the team in the period
  • Productive % — Share of productive hours over (productive + unproductive) hours

Daily Screen Time​

A stacked bar chart that breaks each day into productive, idle, and unproductive hours for the team aggregate. Use this to spot daily patterns — e.g. unusually high idle on a release day, or a pattern of late-day unproductive spikes.


Top Applications​

A bar chart ranking the team's most-used applications by total hours. This helps a team lead validate whether the team is spending time on the right tools — e.g. a development team should see their IDEs, source-control, and ticketing tools at the top.


Team Members​

A sortable table listing each member of the filtered team:

ColumnDescription
NameMember full name and avatar
EmailWork email address
ProductivityProductive % with a gauge bar
HoursProductive hours in the period
Active DaysDistinct days with reported activity

Click any column header to sort. Use the Employee filter to drill into a specific member.


Best Practices​

  • Apply a Project filter at the start of every sprint review to scope the view to the active project.
  • Watch for low Active Days — a member with a high productive % but few active days may be on PTO or have a device issue (verify in Agent Installation).
  • Use Exclude Weekends for project teams that are not on a 7-day rotation to avoid skewing averages.
  • For deeper trend analysis across the team, switch to Organization Trend with the same project filter.