Extract, then score

Resume screening workflow

Extract candidate fields from resumes and score role fit as strong fit, review, or no fit on a hosted hiring desk.

The problem

Recruiters open every resume to copy title, skills, and history into a tracker, then make a first fit call from memory. The resume file and the score end up in different tools.

How the workflow runs

Upload the resume

The hiring app collects the resume and role details. The run starts when the form is submitted.

Extract candidate fields

An extract agent pulls skills, work history, and the other profile fields it can read from the resume.

Score role fit

A classify step labels the resume strong fit, review, or no fit. Recruiters use that label to order the queue. The label is a first pass, not a hiring decision.

What the hosted app shows

Recruiters drop a resume, see the extracted profile, and read the fit label on the results page. Role details travel with the run so the score has context.

Who it is for

Recruiting teams that screen inbound resumes against a role and want the profile and the fit label on one run.

Questions

It labels fit so a recruiter can sort the queue. Hiring decisions stay with your team. Add a review step when a person must confirm the label.