103 CVs, 28 of them matched all needed hard skills. Should all 28 be invited to an interview? Thats where Addvising jumps in. This reduced the time investment by over 30% for the team members and HR, reduced the time to hire and the fluctuation afterwards.
Using Addvising candidates where ordered by their best match to the team and the team's feedback on the candidates was used to continously train the AI empowering Addvising.
While gathering feedback from members leaving the company and from the team, we found out that one of the major issues was, that the chemistry between the team and the leaving members wasn't matching. This was the birth moment of Addvising. With over 20 years of research and experience in developing solutions based on machine learning and AI, we used this knowledge to develop a personality model specific for the assessment of candidates and matching of teams.
By leveraging the insights provided by the P.E.R.S.O.N. model, Addvising offers valuable guidance in identifying the chemistry between team members and candidates. Join us on this exciting journey of building remarkable teams!
Learn more about P.E.R.S.O.N.
Find the right match. Not only by matching candidates with your team's personality but with just a few clicks, you can add or remove team members and see how this affects your team. You can also:
Get insights into your team's chemistry and find the best matches.
"Addvising not only helped us to assess if a candidate's personality matches our team's personality but also reduced the fluctuation and helped to find out, how well our team members match the team's personality."
We are still in a closed beta, but if you are an early adopter, we would send you an invitation code.
Request an invitation