What is candidate rediscovery?
Candidate rediscovery is the process of finding and reusing previous applicants, imported resumes, and saved profiles for new job openings.
Recruiting Workflow / Talent Pool Use Case
Rediscover past applicants and imported candidates with a searchable local talent pool and filters.
Recruiting teams with past applicants, spreadsheets, resumes, and saved profiles that should be reused for new roles.
Most companies re-source roles they have effectively hired for before. A role opens, sourcing begins, job board spend is committed, while dozens of qualified people who applied for something similar last year sit unreachable in closed job posts.
The reason is mechanical rather than careless: past applicants are stored per job posting, not as a searchable database. Finding the three good analysts who applied in March means remembering they existed and knowing which posting to open.
So the pool that costs nothing to reach is the one nobody uses, and the pool that costs money is the one everyone starts with.
Rediscovery requires two things that rarely coexist: candidates in one searchable place regardless of which role they applied for, and a way to act on a match without re-entering anything.
Edvenity keeps sourced, imported, and previously applied candidates in one talent pool, searchable by skills, experience, location, and availability. A recruiter opening a new role starts by searching people already known, then invites matches directly into the job.
Where a candidate needs re-qualification, circumstances change over a year, an AI interview can be sent immediately rather than requiring a manual screen.
The prerequisite is discipline: a pool is only as useful as the data going into it, and imports done carelessly produce a database nobody trusts.
Candidate rediscovery is the process of finding and reusing previous applicants, imported resumes, and saved profiles for new job openings.
Yes. Edvenity supports CSV candidate import and local talent pool workflows for recruiter-owned candidate databases.