Within ATS Recruitis, you can view two items related to reporting in the Selections menu:
The purpose of the statistics is to give recruiters a quick overview of the key recruitment KPIs directly in the application in the form of graphs, while the reports are a comprehensive set of data intended for further or deeper analysis in XLSX format.
Statistics give recruiters an overview of the KPIs we consider essential for recruitment. They are displayed in the form of interactive charts.
The KPIs that the statistics track are:
In the opening graph in the shape of a funnel, you can see how many candidates passed through the individual stages during the given period (i.e. how many were new candidates, how many candidates passed the interview stage, etc.) and how many candidates are currently there (this affects the shape of the funnel and if some part "swollen" shows that the process is in some place may be overloaded).
If we specifically focus on the first line of the graph, i.e. new candidates, it tells us how many new candidates were added in the given period. While the active ones already show us how many candidates are in a given stage of the process right now.
The following attributes are essential for understanding the chart:
The names, colors and number of funnel items depend on your individual settings and therefore may differ from the example shown. At the same time, the quality of the data affects the explanatory power of the graph - that is, if you skip some steps, repeatedly move candidates to the same state, etc., you can significantly reduce the explanatory power.
For each state, you also see the share of candidates from each source. You can thus monitor not only the quantity of candidates from individual sources, but also the quality. E.g. just because source A brings you the most candidates on entry doesn't mean it's good. If the majority of candidates from this source do not even get an interview, it is worth considering whether to use such a source. On the contrary, if source B gives only a few candidates, but all of them advance to at least an interview, it is a quality source regardless of quantity.Délka náboru
This graph shows how long it takes on average to accept applicants. Again, similar to candidate sources, you can see the detail for each stage of recruitment, giving you another dimension. For example, if you find that it takes 20 days on average to accept an applicant, that can be a good or bad result. The number alone wouldn't tell you much. If, for example, no stage lasts more than a few days, that's probably fine, but if there is, for example, one stage that takes up 15 of those 20 days, you know it needs to be focused on and that speeding it up will speed up your recruitment process dramatically .
Reasons for rejection are important in recruitment from several points of view. In terms of statistics, you are probably most interested in the reason for the most frequent rejections to evaluate the relevance of candidate sources and the quality of communication in recruitment. For example, do you most often reject the company because the candidate was not culture-fit? Then you probably need to consider the places where you advertise, the content and style of your advertising, etc. Do you most often reject the candidate because he had higher financial expectations? Then your offers are probably below the market level.
This statistic gives you an overview by gender of the candidates. Thanks to filtering according to recruitment flow, you can monitor the balance for different types of positions.
It follows from the above that statistics will primarily help you identify the key questions you should be asking and the answers to which will help you continuously improve your recruitment process. By the way, these statistics are also displayed in the detail of each position (at the bottom of the page under the list of candidates) with values for that specific position.
In the reports, you have access to detailed data from the system, which allows you to do a deeper analysis either directly in Excel, by connecting to one of the BI systems, or by programming your own logic for data processing and data visualization.
Within the report, you can choose to generate several types of data, or data from several perspectives. Directly on the report page there is a description of the individual Excel sheets that you can download and also of the individual items, here is a brief overview:
A whole range of metrics, the evaluation method and the meaning of the values depend on your specific settings (mainly on flow recruitment, reasons for rejection or filter items) and also on how honestly you fill in the data (e.g. reasons for opening a position), therefore it is not possible to deliver a single report, which suits everyone and it is also possible that some of the above examples will not be possible with your particular data.Více informací, včetně některých praktických aplikací reportingu, obsahuje následující video: