Contribution KPI

How the Contribution KPI works: total active minutes in primary and secondary tools, shown in hours and minutes, and why to read it alongside Productivity.

Contribution is the absolute-time companion to Productivity. Where Productivity expresses effective work as a percentage of expected time, Contribution simply reports the total amount of active work time — the raw number of minutes the person was actually working inside their work tools.


What it measures

The total number of active work minutes spent in primary and secondary tools.

How it's calculated

Contribution adds up every active minute spent in primary and secondary tools. As with Productivity, if any single second within a minute is active, the whole minute counts as active. The result is shown as hours and minutes — for example 7h 30m for one person, or an aggregate such as 124h 30m across a team.

It uses the same underlying effective-work time as Productivity, but reports it as an absolute quantity instead of a ratio. That makes it useful for understanding total output regardless of how many hours someone was expected to work.

Example

Over a week, a person accumulated 32 hours and 15 minutes of active time inside their primary and secondary tools, so Contribution = 32h 15m. Two people can have the same Productivity percentage but very different Contribution if one was expected to work far more hours than the other.

What influences it

  • Hours worked — more active time in work tools means more Contribution.
  • Tool categorization — only Primary and Secondary tool time counts; Neutral or uncategorized time does not.
  • Activity inside tools — idle time in a work tool does not add to Contribution.
  • Team size and period — aggregate Contribution scales with how many people, and how long a period, you are viewing.

How to read it

Contribution is a volume metric, not a ratio, so there is no fixed "healthy percentage." Read it in context: compare across people, teams, or periods, and pair it with Productivity to see both the absolute output and how it stacks up against expectations.

Productivity (the percentage version of the same time), Workday, and Engagement.