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Department Analytics

Department Analytics provides a roll-up of productivity metrics organized by department — useful for HR, delivery heads, and CIOs who need to compare engineering vs sales vs operations without drilling into individual users.

Filters​

  • Start Date / End Date — Period under analysis
  • Department — Filter to a single department, or All Departments

Summary Tiles​

Three tiles sit between the filter bar and the charts and roll up the selected scope:

  • Employee Count — Distinct employees with activity in the filtered departments
  • Project Count — Distinct projects those employees worked on
  • Days — Calendar days in the selected window that have at least one recorded minute

Charts​

Productive Screen Time​

A bar chart comparing productive hours per department over the selected window. The cleanest signal of which departments are actually getting work done.

Activity Time​

Total activity hours (active screen time) per department. Use this alongside Productive Screen Time to spot departments where people are present but time is going unproductive.

Unit Time​

Hours per organizational unit — a finer-grained breakdown when departments are split into sub-units. If your organization doesn't track sub-units, this chart will mirror Activity Time.

Top Applications by Department​

A bar chart of the dominant applications per department. This is the fastest way to validate that each department is using its expected toolchain — sales should show CRM and email, engineering should show IDEs and source control, and so on.

Best Practices​

  • Compare departments only over equal-length windows — month-to-month is more meaningful than mixing a 5-day vs 30-day window.
  • A department with low productive hours but high activity time is the strongest signal for an investigation — start by drilling into Application Analytics with that department filter applied.
  • Department membership is sourced from the user record — keep Users up to date when employees change teams to keep this view accurate.