Pymetrics + Workday REST
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.
Why integrate Pymetrics and Workday REST?
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.
Automate & integrate Pymetrics & Workday REST
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.
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.
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.
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.
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.
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.
Use case
Archive Completed Pymetrics Assessment Data to Workday When a Candidate is Hired
When a candidate is marked as hired in Workday, tray.ai triggers a final sync that archives the complete Pymetrics assessment record — trait scores, completion timestamp, and fit indicators — to the employee's Workday profile. That data becomes a permanent baseline that can inform onboarding assignments, team placement, and long-term development planning. Nothing gets lost in the transition from candidate to employee.
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Pymetrics & Workday REST Challenges
What challenges are there when working with Pymetrics & Workday REST and how will using Tray.ai help?
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 Can Help:
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 Can Help:
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 Can Help:
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.
Challenge
Enforcing Consistent Assessment Invitation Logic Across Hundreds of Requisitions
Large organizations may have hundreds of active Workday requisitions across multiple job families, geographies, and business units, each potentially requiring different Pymetrics assessment profiles and invitation timing rules. Manually managing which requisitions trigger which assessments is error-prone and nearly impossible to audit reliably.
How Tray.ai Can Help:
tray.ai lets teams build conditional branching logic into their integration workflows, routing Workday requisition events through rules that evaluate job family, level, or location to determine the correct Pymetrics profile and invitation timing. That logic lives centrally in tray.ai and can be updated without developer involvement, giving HR ops teams direct control over assessment orchestration.
Challenge
Maintaining Data Compliance and Audit Trails Across Both Platforms
Integrations that move sensitive candidate assessment data between Pymetrics and Workday have to meet strict data privacy and equal employment opportunity compliance requirements. Without a clear audit trail of what data was transferred, when, and under what rules, organizations face real exposure during audits or legal challenges tied to hiring decisions.
How Tray.ai Can Help:
tray.ai logs every workflow execution with a detailed, timestamped record of all data inputs, transformation steps, and API calls made to both Pymetrics and Workday REST. Those logs give compliance and legal teams a complete, queryable audit trail to demonstrate that assessment data was handled consistently, accurately, and in line with defined business rules.
Start using our pre-built Pymetrics & Workday REST templates today
Start from scratch or use one of our pre-built Pymetrics & Workday REST templates to quickly solve your most common use cases.
Pymetrics & Workday REST Templates
Find pre-built Pymetrics & Workday REST solutions for common use cases
Template
Assessment Completion to Workday Stage Advancement
Automatically advances a candidate's Workday application stage whenever Pymetrics reports an assessment as completed, keeping pipeline data current without recruiter intervention.
Steps:
- Trigger: Pymetrics webhook fires when a candidate completes their assessment
- Lookup: tray.ai queries Workday REST to find the matching candidate application by email or candidate ID
- Action: tray.ai updates the candidate's application stage in Workday to the next configured step
Connectors Used: Pymetrics, Workday REST
Template
New Workday Applicant to Pymetrics Assessment Invitation
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.
Steps:
- Trigger: A new candidate application is created in Workday REST meeting configured criteria
- Transform: tray.ai maps candidate name, email, and job profile details to Pymetrics invitation fields
- Action: tray.ai calls the Pymetrics API to send a personalized assessment invitation to the candidate
Connectors Used: Workday REST, Pymetrics
Template
Pymetrics Fit Score Sync to Workday Candidate Profile
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.
Steps:
- Trigger: Pymetrics assessment results become available for a candidate
- Map: tray.ai maps Pymetrics trait dimensions and fit score to corresponding Workday custom candidate fields
- Action: tray.ai uses Workday REST to update the candidate profile with structured assessment data
Connectors Used: Pymetrics, Workday REST
Template
High-Fit Candidate Alert and Workday Stage Fast-Track
Detects candidates who exceed a configured Pymetrics fit score threshold, advances their Workday application stage, and notifies the assigned hiring manager automatically.
Steps:
- Trigger: Pymetrics returns a fit score above a configurable threshold for a candidate
- Action: tray.ai advances the candidate to the interview stage in Workday REST
- Notify: tray.ai sends an alert to the Workday-assigned hiring manager via email or integrated messaging tool
Connectors Used: Pymetrics, Workday REST
Template
Workday Requisition Open to Pymetrics Job Profile Sync
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.
Steps:
- Trigger: A new or updated job requisition event is detected in Workday REST
- Transform: tray.ai extracts job family, level, and competency fields from the Workday requisition payload
- Action: tray.ai calls Pymetrics API to create or update the corresponding job profile for candidate assessment
Connectors Used: Workday REST, Pymetrics
Template
Hired Candidate Assessment Archive from Pymetrics to Workday
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.
Steps:
- Trigger: A candidate's status is updated to hired within Workday REST
- Retrieve: tray.ai calls the Pymetrics API to fetch the candidate's full assessment record and trait scores
- Archive: tray.ai writes the Pymetrics data to the newly created employee profile in Workday REST
Connectors Used: Workday REST, Pymetrics