You already know that cube19 is your single source of truth, empowering you to track and measure all of the work being done by your consultants, teams and business units. Sometimes you may encounter a challenge when it comes to measuring trends, comparing the performance of teams of different sizes or tracking the performance of business units that have fluctuated in headcount over longer time periods.

Luckily, cube19 gives you the tools for measuring trends in the average activity performance per head; of teams, divisions as well as the whole business group. This does the headcount calculation for you, adding up all the activity and dividing by the fluctuating headcount through the time period you’re trending. The headcount calculation is calculated by measuring how many users were active in that group throughout that time period, and consultants starting or finishing part way through the time period are split pro-rata.

Measuring Trends in cube19

Measuring Trends

Charting Jobs Added and Jobs Added Per Head for a single team, shows you how the average per head will fluctuate based on changing team sizes. This visual shows a team undergoing fairly minimal changes, but a drop in headcount by 50% would double the height of the average per head line.

How to measure average per head

First, you’ll need to go to the Trends module. Start setting up a new Trend, then if you’re making an advanced chart you’ll need to choose your activity and group of choice, and then under ‘What to plot’, pick ‘Average By User’. If you’re using a standard chart, simply select a metric and team and click ‘Show Average By User’ at the top. This will show you a Trend over your timeframe of choice of how the average per head has varied over time. You can aggregate this to any level that suits your analysis (weekly, monthly, quarterly etc.) and monitor the change in average performance, without having to manually take into account the number of heads in the team at the time.

Average per Head Trends work for placement & sales figures, activities such as jobs added, CVs sent, as well as more unique metrics such as contractors out and those bespoke to your cube19 platform.

The calculation is made by calculating how many members there were of each group in the selected timeframe, and for how long. This means that if someone left a team half way through a month, they will only contribute half a head for the sake of the average per head.

Tips for averaging per head

By having two or more data groups for different teams, you can directly compare average performance of teams of different sizes – on a level playing field.

Measuring Trends

By plotting totals for Jobs Added for New York vs London, it appears that they have followed a similar trend for growth and continued success. However, by switching to Average Per Head it is clear that London is far excelling New York on an average per head basis. Trends do the average user calculations for you, so you can focus on the critical insights immediately.

Track key averages per head against what you deem to be “what good looks like”, if the best consultants book an average of 10 interviews per month – track entire teams against this standard using average per head trends.

Track changes in activity per head during unusual times; such as Christmas shutdowns or during extended periods of remote working. If you’ve identified patterns of lulls in activity historically, what better time to run competitions or incentives to boost productivity through the predictable drop. 

If you have any questions about this, please contact the Customer Success team at or speak to your Customer Success Manager directly.