A recruitment agency places a candidate with one client, and the runner-ups remain in the agency's database as an ordinary record. A similar role opens with a different client three months later.
Nobody checked those runner-ups against the new opening, even though the agency already has their resume, their skills, and a full record of how far they got the first time.
This expert guide covers what tools Vincere offers for stored candidate databases once a new requisition opens. It also covers their limitations and how an external AI integration addresses those to automate rediscovery, sourcing, and scoring past qualified candidates.
What Is Talent Rediscovery?
Talent rediscovery involves searching and matching stored candidates in a Vincere database to newly opened roles. This includes applicants from closed positions, those in a talent pool, and individuals who progressed partway through a hiring process.
With a year or two of application history, these candidates become an active sourcing channel, as rediscovery automates checks against each new opening, eliminating the need for recruiters to rely on memory.
Does Vincere Provide Candidate Rediscovery?
Partially, Vincere's auto-match feature lets a recruiter open a job and, with one click, scan the entire candidate database for people who fit its requirements, including candidates never previously considered for it.
From a candidate's own profile, Find Suitable Jobs works in the other direction, matching that person against every open job. Advanced Search adds Boolean, fuzzy, and wildcard search across candidates, jobs, and companies for anyone building a specific query by hand.
All three tools require a recruiter to open them for a specific job or candidate. None of them provides a numeric score or a stated reason, so comparing two matches still involves opening both profiles. There is no way to filter a search by how long ago a candidate entered the database, and there is no record of a hiring manager's decision on a match.
How to Rediscover Candidates in Vincere
Vincere's auto-match and Find Suitable Jobs already scan the database with a single click. Connecting Skima AI adds a numeric score with stated reasons, date-scoped segments, and a hiring manager feedback loop none of Vincere's native tools track.
Below is a 5-step workflow that starts with what Vincere already provides and builds on it:
Step 1: The Native Path, Start With Auto-Match
Open a job inside Vincere and click auto-match. The system searches the entire candidate database and returns a list of people whose profiles line up with the job's requirements, using the same engine that powers Find Similar Candidates and Find Suitable Jobs.
This step covers the whole database in seconds without a manual keyword search. It returns no score or stated reason, though, so comparing two matched candidates still means opening both profiles. For a scored, dated, and tracked version of this same search, Skima AI builds on this next.
Step 2: Connect Your Vincere Account With Skima AI
Create API credentials inside Vincere with permissions to access candidates and jobs, and to write activity notes or tags. This connection uses Vincere's own REST API directly, with no middleware required.
- Read access: candidate records, applications, job postings, pipeline data, and historical activity for rediscovery context
- Write access: activity notes and candidate tags
- Pulled data: candidate contact details, resumes, application responses, job requirements, and past interview feedback
- Event triggers: candidate and job updates, delivered through Vincere's webhooks
Step 3: Configure Tags and Confirm the Connection
Define the Skima Screened tag inside Vincere, and optionally create a Skima Shortlisted pipeline stage with the right permission settings. The Skima AI match score and reason bullets post as activity notes on the candidate record. If webhooks are not configured, Skima AI falls back to a 10 to 15 minute polling interval instead.
Before rolling this out further, test the connection on a few candidates. Upload a resume, confirm the Match Score and Reasons appear as activity notes, submit sample hiring manager feedback, and check that it writes back correctly.
Step 4: Launch Talent Rediscovery Against a Live Requisition
Open the job inside Skima AI, from the Jobs list or from within the job itself. Click the three-dot Actions menu and select Rediscover Candidates. A modal opens with options to narrow the scan: select a specific candidate segment, or leave it open to every synced Vincere record.
Set the candidate created date range next: All time, Last 6 months, Last 1 year, or a custom window, and optionally check the location filter to restrict the scan geographically. Click Apply. A "Performing Rediscovery" notification appears while the scan works in the background, and turns green with a refresh option once it completes.
Step 5: Review, Filter, and Sync Feedback Back to Vincere
Refresh the page and open the Rediscovered source tab inside View Candidates. Each match carries a Skima AI score and reason bullets, tagged with a Rediscovery source label. Filter by Industry, Work Mode, Experience Level, Notice Period, Location, and Salary Range to narrow the list.
Once the shortlist looks right, generate a secure, no-login link and send it to the hiring manager. They click thumbs up, thumbs down, or maybe on each name, with an optional comment. Skima AI writes that decision back into Vincere as an activity note on the candidate record, keeping the feedback on the record without a second login.
What If Your Vincere Database Is Messy or Duplicated
Vincere offers a Data Integrity Dashboard that scans accounts for duplicate records. It features a manual Merge Candidate action for recruiters to combine two profiles. This merge allows selection of a master record and the choice of which fields to retain. Additionally, it can append files, applications, or invoices from the profile being merged away.
Two practical limits exist. If either candidate has an active TimeTemp timesheet account, that record becomes the master. If both candidates have active TimeTemp accounts, merging is entirely disabled. The non-master profile remains visible in search results until permanently deleted, meaning a technically merged duplicate may still appear.
Skima AI approaches this as ongoing maintenance rather than a one-time scan. It first matches based on email, phone, or LinkedIn URL, then checks name, location, and company as backup signals.
When a match is identified, a field comparison modal displays differences in Name, Title, Company, Location, Email, Phone, and LinkedIn, tagging each mismatched field as Differs.
Moreover, recruiters can then choose which values to keep, merge the records, or add the profile as new if they genuinely differ. Resolved cases are logged under the Duplicates tab, with sections for In Database, From Uploads, and Resolved for future audits.
5 Benefits of Talent Rediscovery with Skima AI
A documented 30-day pilot with Vincere shows 5 clear changes once Skima AI begins scoring an agency's stored candidate history:
- Faster Time-to-Screen: Rediscovered candidates arrive already matched and scored against the open role, reducing time-to-screen by 58% compared to starting a fresh search.
- Interviews Double From the Shortlist: The same pilot saw interviews booked from the shortlist double compared to the prior process.
- A Score Attached to Every Match: Every rediscovered candidate carries a 0 to 100 score with reason bullets, replacing auto-match's unscored list with a number a recruiter can compare across candidates.
- One Activity Record, No New Login: Match scores, reasons, and tags write directly to the same activity notes a recruiter already checks inside Vincere.
- Manager Feedback That Sticks: Hiring manager satisfaction rose 24 points on NPS in the same pilot, tied to a feedback link that logs every decision instead of a verbal note.
5 Best Practices to Rediscover Talent in Vincere
A few intentional habits influence whether this connection turns into a consistent source of candidates or remains a one-time setup:
- Start With Auto-Match: Use Vincere's one-click auto-match to catch obvious fits for a specific job first. Move to a scoped Skima AI scan when a numeric score, a date-limited pool, or a tracked hiring manager decision matters.
- Automate Rediscovery on Job Creation: Skima AI's setting under Preferences and General starts a database scan the instant a new job gets created inside the connected account, so no requisition goes live without a first look at existing history.
- Rank What Find Suitable Jobs Already Found: Vincere's Find Suitable Jobs matches one candidate against every open role with a click, but returns no ranking. Reverse Search covers the same ground and adds a score, useful when an agency has several client roles a candidate could fit.
- Segment Scans by Candidate Created Date: Choose a 6-month or 1-year window when a role calls for someone recently active. Widen to all time for a niche or hard-to-fill role where the applicant pool has stayed thin for years.
- Check the Duplicates Tab Alongside the Data Integrity Dashboard: Vincere's own duplicate scan is not confirmed to check phone or LinkedIn URL matches. Reviewing the In Database sub-tab on a set schedule adds that coverage.
Is Candidate Rediscovery Worth It for Your Recruitment Team?
Vincere's auto-match and Find Suitable Jobs scan the entire database within a Vincere subscription, thereby enabling agencies to evaluate their match history. However, these tools lack a method for comparing two matches without accessing both profiles, as neither provides a score.
Moreover, an agency with a wealth of placements and candidate history gives Skima AI more data to refine than one that recently adopted Vincere. Consequently, a newer database produces a less comprehensive Rediscovered list, which complicates early setup justification.
Pilot Talent Rediscovery in Vincere Now
An agency with a multi-year Vincere history can achieve a high ROI using Skima AI. Begin with two or three live requisitions, preferably roles filled multiple times, to leverage historical data.
Connect Skima AI to Vincere, set up the Skima Screened tag, and test it on a few candidates before launching. The integration structures a gradual rollout: start with a small sample, then go live on pilot roles while monitoring AI scoring and reviewing ROI reports.
Track rediscovered candidates reaching interviews and hiring manager feedback on the shortlist link. A documented 30-day pilot reported a 58% drop in time-to-screen and increased hiring manager satisfaction.
Frequently Asked Questions
1. Does Vincere have a built-in talent rediscovery feature?
Partially, Vincere's auto-match scans the entire database against a specific job with one click, and Find Suitable Jobs works from a candidate's profile in the other direction, but neither returns a score or tracks a hiring manager's decision.
2. How do I rediscover candidates in Vincere?
Start with Vincere's native auto-match for a quick, unscored list tied to one job. For a scored, dated, and auditable version, connect Skima AI through Vincere's API, set up the Skima Screened tag, then launch Talent Rediscovery on a live requisition.
3. What are the benefits of candidate rediscovery in Vincere?
Based on a documented 30-day pilot, rediscovered candidates cut time-to-screen by 58% and doubled interviews from the shortlist. Matches carry an explainable score and reason bullets, and hiring manager satisfaction rose 24 points on NPS.
4. Is Skima AI safe to integrate with Vincere for talent rediscovery?
Yes. Skima AI scores candidates using resume-based evidence only, with no automatic rejections, and logs every hiring manager decision and shortlist action for audit. Data stays encrypted in transit and at rest, backed by a signed Data Processing Agreement.
5. Is candidate rediscovery useful for Vincere's typical customers?
Yes, especially for recruitment agencies juggling roles across several clients at once, where a candidate who did not fit one client's opening often suits another. The value grows with the size of the placement history behind the account.
