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Hello everybody,

 

We are struggling creating reports in Personio, does somebody have the right answer? 

 

  • New hires (not from recruiting module): How to report new hires quarterly without the system aggregating data month by month? For example, we have one new joiner in January, two in February and 0 in March. March will show as 3 new joiners, because it accummulates from previous months. 
  • Leavers: how is the turnover rate calculated in Personio and why is it represented as a - % Growth , as growth does not only depend on leavers. We can’t represent it quartlery as it is also accumulating data. Anybody an idea on how to properly report leavers data quartlery? 

 

Thank you!

Ana 

Unfortunately I have the same questions, so can’t provide an answer - but as a related point, it has been asked so many times by various users if we can have the turnover rate shown as an aggregated percentage for the whole reporting period chosen, rather than as a monthly %.

I had hoped this would be addressed with the new ‘Analytics’ dashboard, on the Retention screen, but sadly turnover is still reported as a monthly %. 

Just adding to this thread in the hopes that someone from Personio will see it and add this tiny fix in to the future plans!


Hi ​@Ana_Cycle0 ,

our current new report builder options offer a time grouping method. Any metric you choose from will be using the according time group. So if your report is “split” in months, it will calculate for the respective months.

The same is true for the metric turnover rate. Here, the number of employees beginning of period is counted and the number at the end of the period, the average is taken and compared to the leavers within the timeframe, which gives you the percentage.

 

Overall, our product team is aware of improving potential, also in terms of time grouping flexibility. We hope that we can get things going till the end of the year, so that you can fairly easily set a timeframe of your liking and Personio uses these start/end dates for calculating the according metrics.

 

All the best

Michael