A professional may look new, while they are already in your ATS or CRM. On the other hand, a profile may strongly resemble an existing record without automatically being the same person.
ATS statuses help you see that difference more quickly.
They show how NIXZ recognizes a professional in relation to your connected ATS, CRM, or another internal source. This means that while reviewing, you not only see how well someone fits your search, but also whether that person is already known within your own organization.
What an ATS status tells you
An ATS status says something about the similarity between the profile in NIXZ and the data in your own system. It is therefore not a content-based assessment of the professional.
The status mainly helps you decide whether you can use a profile directly, whether you should verify it first, or whether it does not yet appear to exist in your ATS.
The three statuses
- Green (checkmark): a full match was found based on a social media URL or email address. With high confidence, this profile is linked to an existing record in your ATS or CRM.
- Orange (number): one or more possible matches were found based on first and last name. The number shows how many potential matches exist. Extra verification is usually needed.
- Grey (question mark): no match was found in your ATS or CRM. The professional may not yet exist in your system, or there may not be enough data available to make a match.
Where you see ATS statuses
You see ATS statuses in places where you review or compare professionals, such as search results and the profile of a professional.
In the results list, the status helps you decide quickly whether you can continue with the profile directly or whether you first want to verify it in your own system.
How to use the status
Use the ATS status as an extra signal alongside the match score and the profile.
A high match score tells you that someone appears to fit your search well in terms of content. The ATS status tells you whether that person is already known, may be duplicated, or is not yet in your own database.
Together, these signals help you decide what the logical next step is: analyze further, verify, save, or skip.