Forget about tedious searches in the applicant database with single words and/or key data from your job ad. JoinVision.com offers you the so-called "JoinVision-Matching", an especially developed tool for semantic matching. It is the most efficient service for a successful search for candidates, which meet the job ad’s demands best.
Within a few mouse-clicks, you will receive a list of candidates, which will fit your vacancy best. The best matching profile will be at the head of the list
The more data you collect in your job offer, the more accurate the suggested applicant profiles will be.
JoinVision-Matching consists of hard and soft matching criteria. There must be complete compliance at the hard matching criteria between the applicant’s job profile and your job offer. If the hard matching criteria do not match, the profile will not be included in the further matching process. The soft matching criteria on the other hand, determine the candidate’s position in the list.
For example: If the assignment location of the job is not within the regions the candidate has entered, the candidate is dismissed.
Language is only partially treated as an excluding matching criteria. For example: If you need a "native speaker" or a candidate with "perfect" command of English, but the candidate does not know English sufficiently, then he is out of the question too.
If these matching criteria do not match, a candidate is not dismissed immediately, but depending on the fulfillment of the criterion, a bonus or malus will be appointed. If the hourly wage rate offered by you is less than the candidate requests, he will receive a malus. But if a candidate has more experience with a skill than you request, he will receive a bonus.
In the end, these matching criteria will be automatically evaluated and analyzed using a specially developed scientific method. Following this unique algorithm, all bonuses and maluses, which result from the comparison of the job profile and the job offer, are summed up. Out of this an index for each candidate is determined.
The candidate with the highest index will be listed first, followed by the second best.