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Productivity Analysis

Turn activity data into productivity trends you can explain

Compare people, teams and periods to find changes in focus, workload and output.

Worktivity productivity analysis splits working minutes by how your organization rated the application they were spent in, then shows how that split moves over time, how two people, teams or periods compare and at which hours the work actually happens.

How it works

What productivity analysis shows

A split you can check

Working minutes count as productive, neutral or unproductive according to the rating of the application in front. The percentage is minutes divided by minutes; nothing is weighted or guessed.

Trends

Group a range by day, week or month and see whether the productive share rose, fell or held steady between its first and second half.

Comparisons

Put two periods, two employees or two teams side by side on the same measures: the three shares, tracked time and activity level.

A heatmap of the working day

Days against hours of the day, in your organization's time zone. The darker the cell, the larger the productive share of that hour.

In practice

What teams use productivity analysis for

The numbers start a conversation. They are not a grade.

  • Checking whether a change worked

    Compare the month before and after a new tool, process or hire to see whether anything moved.

  • Finding the focus hours

    The heatmap shows when productive work concentrates, useful when meetings keep landing on the best hours.

  • Team figures that add up

    Team and organization shares are rebuilt from minutes rather than averaged over people, so a short day does not weigh as much as a full one.

  • Explaining an odd number

    An unexpected neutral share usually means an application nobody has rated yet, and the apps summary shows which one.

Limits

What it does not do

What productivity analysis does not claim.

  • Only as good as your ratings

    Unrated applications count as neutral. Rating an app also relabels minutes already recorded, so past ranges can read differently afterwards.

  • Not a measure of output

    The split says which applications working time was spent in. It says nothing about the quality of the work done there.

  • Some views depend on the plan

    Trends, comparison and the heatmap are included on some plans only. Where they are not, the screen says so and requests no data.

Who uses it

Teams that get the most out of it

Productivity analysis is most useful where computer work is the work.

  • Software teams

    Time in editors and tools against time in chat and meetings, week by week.

  • Agencies and studios

    How much of the week goes to production tools rather than admin.

  • Contact centres and BPO

    Productive share per team across shifts, with idle time kept separate.

  • Finance and back office

    Time in core systems against time elsewhere, compared across teams.

  • Remote and hybrid teams

    Remote and office days measured the same way and compared side by side.

  • Growing companies

    A baseline before a reorganisation, and a comparison after it.

Turn a month of tracked time into trends

Rate the applications your team uses, track a few weeks and compare the periods that matter to you.

No credit card required