A distribution company fills a warehouse lead role through Dayforce. The strongest candidate who didn't get the job moves into the Disqualified Candidates tab once the requisition closes. Four months later, a nearly identical role opens, and the recruiter posts a new requisition and waits for new applications instead of bringing that candidate back into view.
Dayforce already has that candidate's profile, resume, and application history from the first search. The Recruiting module creates a single record for every candidate as soon as they apply. Therefore, posting a new requisition and starting from scratch wastes time and money on a qualified candidate who is already in the system.
This expert guide explains what Dayforce offers for finding qualified applicants already in your database. It also highlights where those native tools fall short and how an AI integration can help.
What Is Candidate Rediscovery?
Candidate rediscovery involves matching existing candidates in your Dayforce database with newly opened roles. This process sources applicants from closed jobs, talent pools, and individuals who partially completed previous hiring stages.
By automatically checking past candidates against new openings, rediscovery becomes an efficient sourcing channel and eliminates the need for manual searches.
Does Dayforce Provide Candidate Rediscovery?
No, Dayforce does not provide a candidate rediscovery tool, nor any way to source past qualified applicants. The Recruiting module includes a Talent Pools tab, where recruiters can group candidates and later assign them to an open requisition, along with a search tool that allows recruiters to filter both active and disqualified candidate tabs by keyword.
Dayforce also offers AI-assisted screening that scores applicants against the requirements of the job they applied to, reducing bias by ignoring name, age, and gender during that review.
None of these tools trigger automatically when a new requisition opens. A recruiter must remember that a talent pool exists, then open it and manually assign candidates to the new role. The AI-assisted scoring only evaluates people who have already applied for a specific job. It does not check applicants from closed requisitions against a newly posted role.
How to Rediscover Candidates in Dayforce
Since Dayforce has no built-in way to automatically source or score past applicants across requisitions, recruitment teams connect Skima AI to scan that history every time a role opens. Below is a 5-step workflow, from connecting your account to a finished shortlist:
Step 1: Connect Your Dayforce Account With Skima AI
Create API credentials inside Dayforce with Web Services permissions for Candidates, Applications, Job Requisitions, and Custom Fields. This connection uses Dayforce's own REST APIs directly, with no middleware required. Skima AI needs both read and write access to function.
- Read access: candidate profiles, applications, job requisitions, and resume attachments
- Write access: application custom fields, candidate tags, and activity notes
- Pulled data: candidate contact details, resumes, application status, and job requisition details for scoring context
- Event notifications: application creation and updates, candidate stage progression, and attachment uploads
If webhooks are not configured, Skima AI falls back to safe polling at set intervals.
Step 2: Configure Custom Fields and Confirm the Connection
Create the application custom fields Skima AI writes to, or authorize Skima AI to provision them during setup. These are Skima AI match score, a number from 0 to 100, and reasons, a short text block listing reasons for the fit. A Skima Evaluated tag gets added at the candidate level, so evaluated applicants stay filterable inside Dayforce.
Optional manager feedback and comments capture responses once a shortlist goes out, logged as activity notes on the application record. Before rolling this out further, test it on two or three requisitions. Submit a resume, then confirm the Match Score and Reasons actually appear on that application.
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 Dayforce 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 requisition'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 application 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, including people who scored lower for an earlier role but line up well against this one.
Step 5: Shortlist and Sync Feedback Back to Dayforce
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 Dayforce through the same API connection for the audit trail, logging it as an activity note on the application record. The feedback stays visible on the record without anyone opening a second tool.
What If Your Dayforce Database Is Duplicated
Dayforce automatically declines duplicate applications submitted to the same requisition. It checks for matches based on first name, last name, email address, and phone number. The declined copies are flagged with a "Duplicate Application" reason and logged for audit, without triggering additional assessments or communications.
However, this automatic check only applies to someone applying twice for the same job. It does not extend to different requisitions or identify a candidate profile that has become outdated.
A person who applied two years ago may still have an old phone number and a resume that no longer reflects their current job. Dayforce does not flag this automatically. A recruiter only notices it by recognizing a familiar name while reviewing a new application manually.
Skima AI handles this as ongoing maintenance rather than a one-time project. It first matches on email, phone, or LinkedIn URL. It also checks for matching name, location, and company as a backup signal.
Additionally, a field comparison modal appears before any records merge, highlighting exactly what differs between the two. Missing details are filled in through contextual profile enrichment instead of remaining incomplete. A dedicated Duplicates tab logs every resolved case for later audit, divided into In Database, From Uploads, and Resolved sub-tabs.
5 Benefits of Candidate Rediscovery with Skima AI in Dayforce
Talent rediscovery with Skima AI changes what a Dayforce team can do with its own application history in 5 specific ways:
- Faster Time-to-Screen: Rediscovered candidates arrive already scored, so recruiters skip the raw resume pile entirely. In a documented 30-day Dayforce pilot, a team reduced 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, logged as an activity note alongside a Skima Evaluated tag for instant filtering inside Dayforce.
- Hiring Manager Engagement Without a New Login: The shortlist feedback loop keeps managers responding through a link, no Dayforce credentials required. Manager satisfaction rose 24 points on NPS in that same pilot.
- Lower Cost Per Hire on Repeat Roles: Rediscovered candidates were already sourced once, so filling a role you've hired for before needs zero new job board spend.
5 Best Practices to Rediscover Talent in Dayforce
These benefits do not happen automatically in Dayforce without some intentional habits. The 5 practices below focus on search timing, data hygiene, and integrating rediscovery into an HCM setup with a single database:
- Check Your Talent Pools Before Posting a New Requisition: If your team already groups candidates into talent pools, review those pools first. Run Skima AI's Talent Rediscovery scan before writing a new job ad, since it reaches into closed requisitions and disqualified applicants that talent pools never cover.
- Turn On Automatic Rediscovery for Every New Requisition: Skima AI's setting under Preferences and General starts a database scan the instant a new job is created. Enable it so no requisition slips through without a first look at your existing applicant history.
- Use Reverse Search for Candidates Disqualified From a Different Role: A candidate declined for one requisition can still fit a different open role well. Reverse Search starts from that 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 role needs someone who was recently active. Widen to All time for a niche or hard-to-fill role where the talent pool has always been thin.
- Review the Duplicates Tab After Every Hiring Cycle Across Sites: An organization hiring for similar roles at multiple locations sees the same candidate apply to more than one site. Checking the In Database sub-tab after each cycle keeps that from piling into a backlog that Dayforce's own same-job duplicate check never catches.
Is Candidate Rediscovery Worth It for Your Recruitment Team?
A Dayforce user who has been active for several years across multiple sites collects thousands of applicants in the Disqualified Candidates tab. Most of these applicants are never reviewed again once the associated requisition closes. However, that backlog holds real value.
A candidate who was declined for a supervisor role in one city might be a perfect fit for the same opening in another. However, nothing in Dayforce connects those two facts automatically.
Setting up Skima AI is straightforward, but it's not instant either. Someone on your IT team needs to request API credentials with the appropriate Dayforce Web Services scopes. They also need to create or authorize a few custom fields and validate the results through a test cycle on live requisitions.
For a company operating from one location with only a few open roles each year, that backlog stays thin. This makes the added cost harder to justify. However, for an organization filling similar roles across multiple sites year after year, the Disqualified Candidates tab has untapped value today. This value gap is exactly what rediscovery aims to close.
Pilot Talent Rediscovery in Dayforce Now
Pick two or three roles you know you'll need to fill again. Choose ones that have a history of reopening at different sites, and start there. This will give you a real test of whether the Disqualified Candidates tab provides value your team can act on, not just a demo.
Connect Skima AI and perform Talent Rediscovery for those requisitions. Give it 30 days. Skima AI's own Dayforce pilot checks in at day 15 and again at day 30. Track three metrics: time-to-screen, interview rates for rediscovered applicants, and hiring manager response rates.
Teams piloting this on Dayforce have seen time-to-screen drop by 58% and interviews from the top shortlist double. Once you see these results in your own requisitions, further rollout is no longer a matter of guesswork.
Frequently Asked Questions
1. Does Dayforce have a built-in talent rediscovery feature?
No, Dayforce does not have a built-in talent rediscovery feature. The recruiting module offers Talent Pools, a Search for Candidates tool across active and disqualified applicants, and AI-assisted scoring within a single job's applicant pool. None of these scan closed requisitions automatically when a new role opens.
2. How to source past candidates in Dayforce?
To source past candidates in Dayforce, connect Skima AI to Dayforce through API credentials with Web Services permissions, configure custom fields, then launch Talent Rediscovery on a live requisition. Skima AI scans your application history, ranks candidates, and syncs hiring manager feedback back automatically.
3. What are the benefits of Dayforce candidate rediscovery?
Rediscovered candidates arrive pre-scored, cutting screening time by over 58% in a documented 30-day pilot and doubling interviews from the top shortlist. Matches carry explainable reasons, a Skima Evaluated tag for filtering, and hiring manager feedback without a new login.
4. Is Skima AI safe to integrate with Dayforce for talent rediscovery?
Yes, Skima AI encrypts candidate data in transit and at rest, follows GDPR and SOC 2 practices, and logs every AI decision and manager response for audit. Scores rely on resume-based evidence only, with no automatic rejections.
5. Is candidate rediscovery useful for Dayforce's typical customers?
Yes, especially for organizations hiring across multiple locations or departments that refill similar roles over time. The value grows the more often the same kinds of positions, and sometimes the same candidates, come back into play.
