Talent search and retention is a key point in ensuring the generation of value in companies.
The difficulty in filtering and selecting a good match between company and candidate is time-consuming and a source of high rotation. Therefore, the evaluation of personal and skills-based priorities, and their automatic evaluation through tailored recommendation algorithms, contribute to generating more productive interviews and the creation of more cohesive teams than a conventional search based solely on training and experience.
To implement a mutual recommendation system for job offers and candidates based on the traditional essential training and experience filters and complemented by compatibility scoring based on the candidate’s psycho-technical and competence profiles.
This system must be available to make real-time recommendations permitting candidates and companies to engage in the most productive interviews possible and to minimize subsequent rotation.
The tool developed by Foqum for the company takes into account more than 10 skills and 27 personality types based on specialist tests, and helps recommend candidates 20% more willing to accept an interview.
This system increases the efficiency of the time invested in getting a successful match between candidates and companies.