How do we reduce time-to-hire by rediscovering candidates instead of sourcing from scratch?
Akshata Pawar
Senior TA Specialist
I’m a senior recruiter with 5 years of experience in talent acquisition, HR, and hiring technology. I write data-driven product reviews, ATS evaluations, and comparisons that help HR leaders choose tools with confidence.
You can reduce time-to-hire by scanning your existing candidate database against a new job the moment it opens, instead of waiting for new applications to arrive from a fresh posting. Rediscovered candidates skip the sourcing and initial screening stages entirely, since they already have a resume and application history on file.
Sourcing from scratch adds time at every step: writing and posting a job ad, waiting for applications to accumulate, and screening a pile of unfamiliar resumes before a single interview gets scheduled. Rediscovery removes the first two steps completely.
Software like Skima AI carries out this process through Talent Rediscovery, automatically scanning your synced ATS database against a new job's requirements and returning a ranked shortlist with scores explaining each match. Hiring managers review a pre-scored shortlist through a no-login link, reducing the back-and-forth that normally slows down early-stage review.
The size of the time savings depends on how much history your database holds. A company with years of past applicants sees a bigger drop in time-to-hire than one with only a few months of applicant history to draw from.