A staffing desk closes a job, and the other strongest runner-up stays exactly where they were left. That candidate is already sitting inside the JobDiva resume database, fully parsed and scored. Six months later, a near-identical order lands. Recruiters start a fresh Agent Search from scratch instead of pulling that person back up.
That habit wastes budget and time. JobDiva already parsed this candidate's resume and ranked them once through DivaMatch for a past submittal. Now they sit untouched while the desk pays for a new job board post and fresh sourcing hours.
This expert guide covers what tools JobDiva offers for finding qualified candidates inside your own submittal history. It also covers where those native tools fall short, and how an AI integration fills the gap.
What Is Candidate Rediscovery?
Candidate rediscovery means matching people already in your JobDiva database against a role that just opened. It covers submittals from closed job orders, prospects sitting in a hotlist, and resumes the Harvester pulled in months ago.
Your resume database becomes a real placement source once those old submittals get scored against new requirements automatically. JobDiva's Talent Search and Agent Search let a recruiter query that database by hand. Neither tool scores a person against a job order the moment it opens.
Does JobDiva Provide Candidate Rediscovery?
No, JobDiva does not provide a dedicated candidate rediscovery feature. It offers Agent Search and Talent Search for Boolean-style resume queries. Both are built on JobDiva's patented Search Skills by Relevant Years of Experience technology.
A recruiter can query the database by industry, title, location, and exact skill duration. DivaMatch adds a bidirectional score by ranking how well a candidate fits a job description, and how well the job fits back. JobDiva's Redeployment matching applies a similar score across your current candidate pool against a live requirement.
All three are search and matching tools, not rediscovery tools. A recruiter still has to open the right tool and manually point it at one job at a time. None of them scan your full submittal history, including closed job orders, the moment a new requisition opens. None attach an explainable, bulleted reason to a match score (explaining the fit), and none flag which candidates already cleared screening for something similar months earlier.
How to Rediscover Candidates in JobDiva
Since JobDiva has no native candidate rediscovery feature, recruiting teams connect Skima AI to find past qualified candidates inside the ATS database and submittal history at once automatically. Below is a 5-step workflow, from connecting your account to acting on results.
Step 1: Connect Your JobDiva Account With Skima AI
Generate API credentials inside JobDiva: a ClientID, a service email as the username, and a password. This connection uses JobDiva's own REST API directly, with no middleware required. Skima AI needs both read and write access to function.
- Read access: Submittal, Candidate, and Job records
- Write access: Custom Fields, Hotlist tags, and Notes
- Pulled data: candidate contact details, resumes, and job descriptions for scoring context
- Optional webhooks: trigger scoring the instant a submittal is created, updated, or a resume is attached
If webhooks are not enabled, Skima AI falls back to safe polling every 10 to 15 minutes.
Step 2: Configure Custom Fields and Confirm the Connection
Add the Submittal custom fields Skima AI writes to, or let Skima create them during setup. These are Skima AI Match Score, a number from 0 to 100, and Skima AI Reasons, a short block of reasons. A Skima Screened hotlist tag gets added at the candidate level. Screened candidates stay filterable inside JobDiva's own Hotlist views.
Optional Hiring Manager Feedback and Comment fields capture manager responses once a shortlist goes out. If your JobDiva instance restricts custom fields, Skima AI falls back to a submittal note. It can also attach a Skima_Evidence.pdf instead.
Before going further, test this on two or three requisitions. Upload a resume, then confirm the Match Score and Reasons actually populate on that submittal.
Step 3: 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 lets you scope the scan two ways. Limit it to a saved candidate segment, or leave it open to every synced JobDiva record.
Set the Candidate Created Date range next: All time, Last 6 months, Last 1 year, or a custom window, then click Apply. Skima AI scans the selected pool against this job's specific requirements and sends a notification once the scan finishes. Refresh the page to see the results.
Step 4: Review and Filter the Rediscovered Matches
Open the View Candidates tab to see a ranked list pulled from across your entire submittal history. Each candidate carries an AI match score and reason bullets explaining the fit. Filter by Industry, Work Mode, Experience Level, Notice Period, Location, and Salary Range.
Start broad and tighten the filters gradually. Narrowing too fast hides good candidates. This step often catches candidates who were weak fits before, but line up well with this new job order.
Step 5: Shortlist and Sync Feedback Back to JobDiva
Build your shortlist from the ranked matches Skima AI surfaced. Generate a secure, no-login link and send it to the hiring manager. They can click a thumbs up, thumbs down, or maybe on each candidate, with an optional comment.
Skima AI writes that decision back into JobDiva through the same API connection for the audit trail. It updates the Submittal custom fields and logs a note, so feedback stays on the record without a second tool.
What If Your JobDiva Database Is Messy, Duplicated, or Stale
JobDiva already claims automatic duplicate handling. Its documentation says incoming submittals get checked and merged into one accurate profile automatically. That claim covers new entries arriving through the Harvester or a manual upload. It does not cover years of older submittals already sitting in your database. Many carry outdated phone numbers, dead emails, or resumes nobody refreshed since the first submission.
Stale data compounds every year a desk keeps sourcing without a cleanup pass. A candidate can carry three job titles across three submittals if their resume changed and nobody reconciled the record. None of this resolves itself. A recruiter still has to notice it before rediscovery even becomes useful.
Skima AI treats this as ongoing maintenance rather than a one-time project. It matches on email, phone, or LinkedIn URL first. It also checks matching name, location, and company together as a backup signal.
A field comparison modal appears before anything merges. It flags exactly what differs across Name, Title, Company, Location, Email, Phone, and LinkedIn. Missing details get filled in through contextual profile enrichment instead of staying incomplete. A dedicated Duplicates tab logs every resolved case for later audit, split across In Database, From Uploads, and Resolved sub-tabs.
5 Benefits of Candidate Rediscovery with Skima AI in JobDiva
Rediscovery with Skima AI changes what a JobDiva desk can do with its own submittal history, in 5 concrete ways.
- Faster Time-to-Screen: Rediscovered candidates arrive already scored, so recruiters skip the raw resume pile entirely. In a documented 30-day JobDiva pilot, a desk cut time-to-screen by 58%.
- More Interviews From the Same Shortlist: The same pilot saw interviews from the top shortlist double compared to the prior process.
- Explainable Match Scores With an Audit Trail: Every rediscovered match carries reason bullets tied to skills and experience, plus a Skima Screened hotlist tag for instant filtering inside JobDiva.
- Hiring Manager Engagement Without a New Login: The shortlist feedback loop keeps managers responding through a link, no JobDiva credentials required. Manager satisfaction rose 24 points on NPS in that same pilot.
- Lower Cost Per Placement for Staffing Desks: Rediscovered candidates were already sourced once, so filling a role this way needs zero new job board spend. Skima AI customers report filling roles up to 67% faster overall.
5 Best Practices to Rediscover Talent in JobDiva
None of these benefits happen automatically inside JobDiva without a few deliberate habits. The 5 practices below cover search timing, data hygiene, and fitting rediscovery around tools your desk already uses:
- Sanity-Check Your Active Pool With DivaMatch First: DivaMatch already scores current submittals against a live job order in seconds. Use it before waiting on a full Skima AI scan, then let Talent Rediscovery reach further back into closed job orders and stale submittals DivaMatch never touches.
- Turn On Automatic Rediscovery for Every New Job: Skima AI's setting under Preferences and General starts a database scan the instant a new job is created. Enable it so no job order slips through without a first look at your existing pool.
- Use Reverse Search When a Candidate Does Not Apply Directly: Staffing desks juggle several client orders at once, and a strong candidate submitted for one role often fits another open order too. Reverse Search starts from that one profile and returns every open job they match, ranked by score.
- Segment Scans With the Candidate Created Date Filter: Choose a 6-month or 1-year window when a client role needs someone recently active. Widen to All Time only for hard-to-fill or niche skill searches where the pool is thin.
- Review the Duplicates Tab Weekly, Not Just During ATS Sync: New duplicates surface constantly through the Harvester, batch uploads, and JobDiva sync. Checking the In Database sub-tab on a set schedule keeps the merge queue from piling into a backlog nobody wants to clear.
Is Candidate Rediscovery Worth It for Your Recruitment Team?
The honest answer depends on how large and how old your JobDiva submittal history actually is. A desk with years of closed job orders has real, unscored value sitting untouched.
Setup effort matters too, and IT time is not free. API credentials, custom field mapping, and webhook configuration all need attention upfront. Skima AI is also a paid layer (however affordable) sitting on top of JobDiva, which is already a quote-based subscription. That cost stacks on whatever JobDiva already charges your desk.
A newer agency with a small, fast-moving pipeline has fewer candidates sitting in its database to rediscover. For that desk, the added cost may not give valuable ROI. Rediscovery earns its place once your JobDiva database is large, aging, and full of candidates nobody has rescored in years.
Final Verdict: Pilot Candidate Rediscovery in JobDiva Now
For most established JobDiva desks, the case for piloting is strong. The right move is not a company-wide rollout on day one. Start with three live requisitions already struggling through normal sourcing.
Connect Skima AI, configure the Submittal custom fields, and launch Talent Rediscovery on those three job orders. Skima AI's own JobDiva integration structures this as a 30-day pilot, with weekly ROI updates and checkpoints at day 15 and day 30.
Track time-to-screen, how many rediscovered candidates reach an interview, and hiring manager response. Based on a documented 30-day JobDiva pilot, expect something close to a 58% drop in time-to-screen and double the interviews from your top shortlist. From there, expanding to more requisitions becomes a decision backed by your own data, not a guess.
Frequently Asked Questions
1. Does JobDiva have a built-in dedicated candidate rediscovery feature?
No, JobDiva does not have a built-in dedicated candidate rediscovery feature. Instead, it offers Agent Search, Talent Search, DivaMatch, and Redeployment matching, but each requires a recruiter to manually search or score one job at a time. None scan closed submittals automatically or attach an explainable reason to a match score.
2. How to conduct candidate rediscovery in JobDiva ATS?
To conduct candidate rediscovery in JobDiva ATS, connect Skima AI to JobDiva through its REST API, configure Submittal custom fields, then launch Talent Rediscovery on a live job order. Skima AI scans your submittal history, ranks candidates, and syncs hiring manager feedback back automatically.
3. What are the benefits of JobDiva candidate rediscovery?
Rediscovered candidates arrive pre-scored, cutting screening time by over 58% in a 30-day pilot and doubling interviews from the top shortlist. Matches carry explainable reasons, a Skima Screened tag for filtering, and hiring manager feedback without a new login.
4. Is Skima AI safe to integrate with JobDiva for talent rediscovery?
Yes, Skima AI encrypts candidate data in transit and at rest, operates under a signed Data Processing Agreement, and follows SOC 2 practices. Scores rely on resume-based evidence only, with no automatic rejections, and every decision stays logged for audit.
5. Is candidate rediscovery useful for JobDiva staffing agencies?
Yes, especially for staffing agencies with a large, aging submittal history. JobDiva's own tools score one job at a time, so rediscovery's value grows with database size and age, since more qualified candidates sit unscored the longer an agency sources.
