How rule-based job matching works
Here is what happens, step by step.
- Each candidate has target job titles and a primary skill. A job must match one of them first.
- The job’s required years of experience are compared with the candidate’s years.
- Work authorization is checked: jobs that require citizenship are excluded for candidates who are not citizens.
- Skills you mark as excluded remove jobs that mention them.
- Contract type preference filters what each candidate sees, for example contract and C2C only.
A typical day
A recruiter notices a Java consultant has few matches. Looking at the profile, only one target title is set. Adding two common variants brings in postings that were previously missed, and the reason each job appeared is clear from the title and skills.
Who uses it
Recruiters who manage a bench and managers who want predictable, explainable results.
What it does not do
There is no match score. Quality depends on the profile: broader target titles produce more matches, and a recruiter still reviews each one.
See it with your own data
Book a demo and we will walk through it with your own candidates and requirements.
Frequently asked questions
Is matching done by AI?
No. Matching is rule-based. AI is used only to tailor resumes.
How do I get more matches for a candidate?
Add more target titles. Matching starts with the title, so common title variants matter most.