How do I find candidates I previously rejected who might fit a new role?

Scan your full candidate database, including the people you passed on before, against your new job's requirements. Rejecting a candidate for one role does not disqualify them from every future role. Their skills might align with a different position.

Most ATS platforms keep rejected candidates in the database but never resurface them. You would have to remember a specific name, search for it manually, and then re-evaluate the resume manually. That rarely happens once you have more than a handful of past applicants.

Candidate rediscovery handles this automatically. When you trigger a scan for a new role, it evaluates every candidate in your database, not just the ones who applied to that specific job. Someone you rejected for a marketing role six months ago might score highly for a new content strategist position because their skills, experience, and location now line up.

Each rediscovered match comes with an AI Matching Score and reason bullets explaining the fit. You see exactly which skills matched, which requirements the candidate met, and which they missed. You can decide whether to re-engage without rereading the full resume.

For instance, Skima AI scans your entire uploaded database when you execute talent rediscovery on a job. It does not filter out previously rejected candidates. It scores everyone based on the new job's requirements and lets you decide who to contact. You can also filter results by experience level, location, notice period, and salary range to narrow the list further.

The candidate you passed on last quarter might be who you need today.