A civil service agency posts a job, screens the applicants who apply, and builds a ranked eligibility list to hand to the hiring manager. Six months later, a similar position opens in a different department. The applicants from that first list, the ones who scored well but didn't get an interview, stay wherever that eligibility list left them.
This expert guide covers what tools NEOGOV offers for stored applicant history 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 Candidate Rediscovery?
Candidate rediscovery involves searching and matching existing candidates in NEOGOV Insight with newly opened roles. This includes applicants from closed positions, those in talent pools, and individuals who progressed partway through hiring before a role was filled or shelved.
Over time, application history becomes an active sourcing channel, as rediscovery automatically checks stored candidates against new openings, eliminating reliance on a recruiter's memory.
Does NEOGOV Insight Provide Candidate Rediscovery?
No, NEOGOV Insight does not provide a candidate rediscovery feature or tool, nor any way to automatically source or score past applicants against a newly opened requisition.
Insight screens and ranks applicants for a specific job using weighted scores from screening protocols, tests, and interviews. It then organizes them into an eligibility list that meets civil service requirements, such as minimum qualifications screening and veterans' preference. While it stores every applicant's history, Insight does not revisit that history when a new job is posted.
NEOGOV sells a separate, connected product called Attract. This product allows recruiters to revisit past applicants who meet the criteria for a new job and invite them to reapply. That capability is part of Attract, not Insight, and requires its own license and setup.
For an agency using Insight alone, past applicants can be searched one at a time, but there is no automatic check of the full applicant history against a new requisition.
How to Rediscover Candidates in NEOGOV Insight
NEOGOV Insight has no built-in way to scan its own applicant history against a newly opened requisition. Recruitment teams connect Skima AI to rediscover, score, and rank directly into Insight, without needing a separate CRM license. Below is a 5-step workflow, from connecting the account to a finished shortlist:
Step 1: Connect Your NEOGOV Insight Account With Skima AI
Create API credentials inside NEOGOV, through your account manager or IT admin in API Management. This connection uses NEOGOV's own REST API directly, with no middleware required.
- Read access: requisition data (status, department, location, grade level, qualifications), application data (contact details, responses), resumes and attachments, and minimum qualification screening results
- Write access: activity notes and candidate tags, since NEOGOV does not support custom fields on applications
- Pulled data: candidate contact details, resumes, application status, requisition requirements, and screening outcomes for scoring context
- Event triggers: application submitted and stage changed, delivered through NEOGOV's webhooks
Step 2: Configure Tags and Confirm the Connection
Set up the Skima Screened tag and activity note templates inside NEOGOV for consistent data entry. The Skima AI match score and reason bullets post as activity notes, since NEOGOV does not support custom fields on applications. 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 two or three pilot requisitions. Upload a resume, confirm the Match Score and Reasons appear as activity notes, submit sample hiring manager feedback, and check that it logs correctly.
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 opens with options to narrow the scan: select a specific candidate segment, or leave it open to every synced NEOGOV 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 4: Review and Filter the Rediscovered Matches
Open the View Candidates tab to see a ranked list pulled from across the applicant 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. Skima AI's ranking applies after minimum qualifications screening passes, so it works alongside veterans' preference and other civil service factors rather than replacing them.
Step 5: Shortlist and Sync Feedback Back to NEOGOV Insight
Build the shortlist from the ranked matches Skima AI surfaced. Generate a secure, no-login link and send it to the hiring manager. They click thumbs up, thumbs down, or maybe on each candidate, with an optional comment.
Skima AI writes that decision back into NEOGOV as an activity note on the candidate record. The feedback stays visible on the record without anyone opening a second tool.
What If Your NEOGOV Insight Database Is Messy or Duplicated
NEOGOV Insight includes its own profile merge tool for combining duplicate applicant records. This is separate from the auto-merge feature that NEOGOV's Attract product added for candidates sourced through form submissions and GovernmentJobs.com. Insight's merge tool addresses situations where a person applied online and also submitted a paper application, keeping both under one profile.
The public-facing GovernmentJobs.com applicant account works differently. It does not allow for merging two accounts. If an applicant creates a second account with a different email, NEOGOV advises them to choose the account with the most current information and use only that one, as the two accounts will not combine.
Skima AI approaches this issue from the recruiting side rather than the applicant side. It first matches based on email, phone, or LinkedIn URL. Then, it checks the name, location, and company as backup signals.
When a match is found, a field comparison modal displays differences across Name, Title, Company, Location, Email, Phone, and LinkedIn, tagging each mismatched field as Differs.
A recruiter can choose which values to keep and merge the records, or add the profile as new if the two genuinely differ. Every resolved case is logged under the Duplicates tab, which is divided into In Database, From Uploads, and Resolved sub-tabs for later audit.
5 Benefits of Talent Rediscovery with Skima AI
A documented 30-day pilot with NEOGOV Insight reported 5 specific changes once Skima AI starts scoring an agency's stored applicant 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.
- Scoring That Respects Civil Service Rules: Skima AI ranks candidates only after minimum qualifications screening passes, and it excludes demographic data from scoring so veterans' preference and EEO factors stay intact.
- One Activity Record, No New Login: Match scores, reasons, and tags write directly to the same activity notes a recruiter already checks inside NEOGOV.
- A Decision Trail for Every Name: A hiring manager responds through a no-login shortlist link, and that decision logs as an activity note, supporting the same audit trail NEOGOV already tracks for EEO and adverse impact review.
5 Best Practices to Rediscover Talent in NEOGOV Insight
Getting significant ROI out of this connection takes a few habits beyond the setup itself. The 5 practices below cover search timing, data hygiene, and fitting rediscovery around civil service hiring rules:
- 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. Enable it so no requisition goes live without a first look at existing applicant history.
- Layer Scoring After Minimum Qualifications: Let NEOGOV's minimum qualifications screening complete first, since Skima AI's ranking is designed to apply on top of that pass rather than in place of it.
- Reverse Search Across Departments: A candidate who did not get an offer from one department's opening often fits a similar role in a different department on the same NEOGOV account. Reverse Search starts from that candidate's profile and returns every open job they match, ranked by score.
- 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.
- Review the Duplicates Tab on a Regular Schedule: Since Insight's own merge tool only works when a recruiter starts it, checking the In Database sub-tab regularly catches overlap that would otherwise stay unresolved.
Is Candidate Rediscovery Worth It for Your Recruitment Team?
An agency using NEOGOV Insight without the separate Attract product lacks a built-in way to check its applicant history against new openings. Attract closes that gap, but it requires its own license and setup, separate from Insight.
An agency with years of applicant history across many requisitions provides Skima AI a deeper pool to score than one that started using Insight recently. A thinner history results in a less substantial Rediscovered list, complicating early setup justification.
Pilot Talent Rediscovery in NEOGOV Insight Now
For an agency with a multi-year Insight history, a pilot using Skima AI can deliver a high ROI. Start with two or three live requisitions, ideally for roles the agency has filled multiple times before. This way, there is a solid historical pool to score against.
Connect Skima AI to NEOGOV Insight. Set up the Skima Screened tag and test the connection on two or three pilot requisitions before going live. Skima AI's NEOGOV integration structures the rollout this way: test in a sandbox first, then go live on three pilot roles. Review ROI metrics weekly and hold checkpoints with hiring managers.
Track how many rediscovered candidates reach an interview and how the hiring manager responds to the shortlist link. Skima AI's documented 30-day pilot with NEOGOV Insight showed a 58% drop in time-to-screen.
Additionally, interviews from the top-10 shortlist doubled, and hiring manager satisfaction rose by 24 points on NPS. From there, expanding to more requisitions becomes a decision supported by the pilot's own numbers.
Frequently Asked Questions
1. Does NEOGOV Insight have a built-in talent rediscovery feature?
No, Insight screens and ranks applicants for a specific requisition and builds an eligibility list, but it does not check past applicants against a new opening automatically. That capability lives in NEOGOV's separate Attract product, not in Insight.
2. How do I rediscover candidates in NEOGOV Insight?
Connect Skima AI to NEOGOV Insight through its API, set up the Skima Screened tag and activity note templates, then launch Talent Rediscovery on a live requisition. Skima AI scans your applicant history, ranks candidates after minimum qualifications screening, and syncs hiring manager feedback back automatically.
3. What are the benefits of candidate rediscovery in NEOGOV Insight?
Based on a documented 30-day pilot, rediscovered candidates cut time-to-screen by 58% and doubled interviews from the shortlist. Scoring respects minimum qualifications and civil service rules, and hiring manager satisfaction rose 24 points on NPS.
4. Is Skima AI safe to integrate with NEOGOV Insight for talent rediscovery?
Yes, Skima AI scores candidates using resume-based evidence only, excludes demographic data from scoring, and logs every hiring manager decision for audit, supporting EEO and adverse impact review. Data stays encrypted in transit and at rest, in line with SOC 2 Type II, NIST 800-53 Moderate, and FedRAMP Moderate standards.
5. Is candidate rediscovery useful for NEOGOV Insight's typical customers?
Yes, especially for government agencies using Insight without a separate CRM product, where applicant history across multiple departments otherwise goes unchecked against new requisitions. The value grows with the size of that history and how often similar roles reopen across departments.
