In the selection process, AI functions are available to simplify data collection and candidate evaluation.
Among these, the nCognitive functionality allows you to estimate the positivity, negativity or neutrality of the response recorded by the candidate during the Video interview step, which will then be tracked and inherited within the candidate's profile (nCognitive tab).
To activate this option it will be necessary to set the video interview step within the position and in the Summary step go to the nCognitive tab to activate the nCognitive Attitude Analysis flag. The function will estimate and attribute a connotation to the candidate's response based on the Keywords used.
Another AI feature is the age recognition option, which automatically determines the candidates' age based on the data provided in their CV.
By entering the position and clicking on the Datatable , in fact, a series of default information will appear which can be made directly visible on columns in the list of candidates (Details, Rating, Score etc.) and among these the Age option will also appear. Clicking on it will make the new column visible in the list and it will show the age for each candidate (calculation based on the CV uploaded during the application phase).
Through the Keyword Matching, artificial intelligence enables the creation of a match between the keywords of the position and the information in the candidates' CVs.
This functionality can be activated when creating the position, particularly in the last step of Summary.
In the Description tab, the description of the position entered in the initial step will be displayed and here it will be necessary to highlight with the mouse the keywords considered important for ranking and sorting the candidates.
Once underlined, in order to activate the Keyword Matching option, it will be necessary to click on Keyword Matching - Add keyword+ from the pop-up, so that the Keywords will be listed in the bottom box Keyword Matching > Selected Keywords and thus the Keywords will be searched within the candidates' CVs (only if the related Dataset has been activated in the position).
You can manually enter keywords by typing them into the Enter Keyword field and clicking Add.
Alternatively, you can generate them automatically using the Generate Keywords button. The artificial intelligence will suggest keywords based on the entered position description, allowing you to select which ones to add to the list.
To view the matching between the position's keywords and those of the candidates, you need to access the desired position. In the list of applications, the Keyword Matching column will appear, displaying the degree of match for each candidate through a circular progress bar. Hovering over the indicator icon will reveal the keywords found in the candidate's CV.
The Keyword Matching highlights the level of correspondence with the selected keywords, comparing it with that of other candidates. This value is dynamic and may change as new candidates enter with a higher or lower match.
Another useful AI feature in managing the selection process is AI Ranking. With this function, recruiters can view an automatic and objective evaluation of candidates' CVs, based on the data contained in the CV and the specific requirements of the position the candidate has applied for. By hovering over the score, a summary of the evaluation and the reasons behind the score will be displayed. Accessing the candidate's profile will provide an even more detailed analysis of the CV, with final observations. Like Keyword Matching, this functionality is activated via the Datatable and displayed in the candidate list, offering a pre-filled and ready-to-use analysis.
It is possible to use the artificial intelligence function to generate emails to be sent to the candidate via the Communicator. By clicking on the AI - Generate Email button, you will have to select the reason for which you want to create the communication (Candidate not selected and Phase passed). Possibly you can also add further details in the field Additional Info (e.g. high gross annual income, little experience in the role, etc.).
To generate the email, the artificial intelligence will take into account the Reason for the message, the candidate's CV and the requirements of the position (Description).