Connectors / Integration
Connect Pymetrics and Workday REST to Build a Smarter, Bias-Free Hiring Pipeline
Push neuroscience-based candidate assessments directly into your Workday HCM — no manual data entry, faster hiring decisions.
Pymetrics + Workday REST integration
Pymetrics uses neuroscience games and AI to objectively measure candidate traits, while Workday REST is the system of record for your entire workforce lifecycle. Together, they can power an end-to-end recruiting workflow where assessment data backs every hiring decision stored in Workday. The catch: without an integration, someone has to manually reconcile candidate scores, requisition statuses, and hiring outcomes across two disconnected platforms. Connecting Pymetrics with Workday REST through tray.ai removes that work entirely.
Talent acquisition teams rely on Pymetrics for objective, bias-reduced candidate evaluation and Workday for requisition management, candidate tracking, and onboarding — yet these systems rarely talk to each other in real time. When assessment results live only in Pymetrics and candidate records live only in Workday, recruiters end up copying scores, updating stages, and chasing hiring managers for decisions that should have happened automatically. Connect Pymetrics with Workday REST on tray.ai and assessment completion statuses and trait scores flow into Workday candidate profiles on their own, workflow stages advance based on Pymetrics outcomes, and every hiring decision is backed by objective data without anyone touching a keyboard. The result is faster time-to-hire, a more consistent candidate experience, and a hiring process that can actually scale.
Automate & integrate Pymetrics + Workday REST
Automating Pymetrics and Workday REST business processes or integrating data is made easy with Tray.ai.
Use case
Automatically Update Workday Candidate Stage After Pymetrics Assessment Completion
When a candidate completes their Pymetrics assessment, tray.ai detects the completion event and advances that candidate to the next stage in their Workday job application. Recruiters no longer need to log into Pymetrics, check results, and then manually update Workday — it all happens in seconds. Candidate pipelines stay current, and hiring managers always see an accurate picture of where each applicant stands.
- Eliminates manual stage updates across two separate platforms
- Cuts average pipeline lag from days to minutes
- Gives recruiters and hiring managers a single, real-time view in Workday
Use case
Sync Pymetrics Assessment Scores to Workday Candidate Profiles
Pymetrics trait scores and fit indicators are automatically written to custom fields on the corresponding Workday candidate record, creating a unified candidate profile. Hiring managers reviewing candidates in Workday get immediate access to neuroscience-backed data alongside resumes and interview notes — without leaving their primary HCM platform.
- Centralizes all candidate data in Workday for faster hiring reviews
- Reduces context-switching between Pymetrics and Workday for recruiters
- Creates an auditable, structured record of objective assessment results per candidate
Use case
Trigger Pymetrics Invitations When a New Candidate Applies in Workday
As soon as a candidate submits an application through Workday and meets configurable criteria — such as job family, location, or requisition type — tray.ai automatically sends a Pymetrics assessment invitation. This removes a manual coordination step that frequently delays early-stage recruiting. Candidates get a faster, more consistent experience, and recruiters reclaim hours previously spent on invitation management.
- Speeds up early-stage screening by automating assessment invitations
- Ensures every qualifying candidate gets an assessment without manual intervention
- Standardizes the candidate experience across all job requisitions
Use case
Disqualify or Advance Candidates in Workday Based on Pymetrics Fit Score Thresholds
Using configurable fit score thresholds from Pymetrics, tray.ai can automatically move candidates to an advanced stage or mark them as disqualified within Workday, based on whether their traits match a given job profile. This rules-based routing means only the most relevant candidates advance, cutting the burden on recruiters who'd otherwise manually review every completed assessment. Teams can fine-tune thresholds by role type for consistent, fair screening at scale.
- Cuts recruiter review time by automating pass/fail routing in Workday
- Applies consistent, objective criteria across all candidates for a given role
- Supports compliance by enforcing documented, data-driven decision criteria
Use case
Notify Hiring Managers in Real Time When High-Fit Candidates Complete Assessments
When a candidate's Pymetrics results indicate a strong fit, tray.ai triggers automated notifications to the assigned hiring manager in Workday or via connected tools like Slack or email. High-priority candidates don't sit unnoticed in a queue waiting for a recruiter to flag them manually. Interview scheduling moves faster, and top talent gets engaged before competitors can.
- Cuts time-to-interview for top-fit candidates by alerting hiring managers immediately
- Prevents strong candidates from getting buried in a high-volume pipeline
- Keeps Workday records updated with notification timestamps for full audit visibility
Use case
Sync Workday Requisition Data to Pymetrics for Job Profile Alignment
When a new job requisition is opened or updated in Workday, tray.ai pushes relevant role attributes — job family, level, competency requirements — to Pymetrics to make sure the correct assessment profile is applied to incoming candidates. Evaluating candidates against the wrong job profile skews fit scores and defeats the purpose of running the assessment at all. Keeping job data in sync across both platforms prevents that from happening.
- Prevents assessment misalignment caused by stale or incorrect job profile data in Pymetrics
- Automates a coordination task that typically falls through the cracks between TA and HR ops
- Keeps Pymetrics fit scores meaningful and role-specific
Challenges Tray.ai solves
Common obstacles when integrating Pymetrics and Workday REST — and how Tray.ai handles them.
Challenge
Matching Candidates Across Pymetrics and Workday Without a Shared Identifier
Pymetrics and Workday often use different candidate identifiers — email address in Pymetrics versus internal applicant IDs in Workday — which makes reliable record matching difficult without a solid mapping layer. A mismatch means assessment data gets written to the wrong candidate profile or disappears entirely, which carries real compliance and fairness consequences.
How Tray.ai helps
tray.ai's data mapping and transformation tools let teams define a canonical matching key — typically email address — and build lookup logic that resolves the correct Workday candidate record before writing any Pymetrics data. The platform also supports error handling workflows that flag unmatched records for human review rather than failing silently.
Challenge
Handling Asynchronous Assessment Completion Timing
Candidates complete Pymetrics assessments at unpredictable times, often outside business hours or days after the invitation was sent. Polling-based integrations that check for completions on a fixed schedule can introduce real lag between assessment completion and Workday being updated, leaving recruiters working from stale pipeline data.
How Tray.ai helps
tray.ai uses event-driven, webhook-based triggers from Pymetrics, so Workday is updated the moment an assessment is completed — regardless of the time of day. Polling delays are gone, and pipeline data in Workday reflects reality in near real time.
Challenge
Mapping Pymetrics Trait Dimensions to Workday's Custom Field Schema
Pymetrics returns a detailed set of neuroscience-based trait dimensions that don't map directly to standard Workday candidate fields. Organizations need to decide which dimensions to store, what field names to use, and how to format score data — a configuration challenge that requires both HR domain expertise and technical implementation work.
How Tray.ai helps
tray.ai's visual data mapper lets HR operations and technical teams collaboratively define how each Pymetrics trait field maps to Workday custom candidate attributes, without writing custom code. Transformation logic can normalize score formats, apply rounding rules, or combine multiple traits into a single structured summary field based on business requirements.
Templates
Pre-built workflows for Pymetrics and Workday REST you can deploy in minutes.
Assessment Completion to Workday Stage Advancement
Workday REST Automatically advances a candidate's Workday application stage whenever Pymetrics reports an assessment as completed, keeping pipeline data current without recruiter intervention.
New Workday Applicant to Pymetrics Assessment Invitation
Workday REST Sends a Pymetrics assessment invitation automatically when a new candidate application is created in Workday and matches a defined set of requisition or job family criteria.
Pymetrics Fit Score Sync to Workday Candidate Profile
Workday REST Writes Pymetrics trait scores and overall fit indicators to custom fields on the Workday candidate record, creating a unified profile visible to all hiring stakeholders.
High-Fit Candidate Alert and Workday Stage Fast-Track
Workday REST Detects candidates who exceed a configured Pymetrics fit score threshold, advances their Workday application stage, and notifies the assigned hiring manager automatically.
Workday Requisition Open to Pymetrics Job Profile Sync
Workday REST Pushes job requisition details from Workday to Pymetrics whenever a new requisition is opened or updated, so the correct assessment profile is always applied to incoming applicants.
Hired Candidate Assessment Archive from Pymetrics to Workday
Workday REST Retrieves a new hire's complete Pymetrics assessment record and archives it to their Workday employee profile when they're marked as hired, preserving that data for long-term talent development.
How Tray.ai makes this work
Pymetrics + Workday REST runs on the full Tray.ai platform
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