Trakstar Hire ATS Integration
Bring Skima Intelligence to Trakstar Hire
Skima AI integrates with Trakstar Hire to deliver explainable AI-driven match scores, evidence-based insights, and collaborative feedback loops right inside the Trakstar platform.
What You'll See in Trakstar Hire ATS with Skima AI
When connected, Skima AI enhances your Trakstar Hire experience with AI-powered insights directly visible across candidate and job records.
Match Score (0-100) attached to each candidate.
Bullet points to explain why a candidate matches the job description.
"Skima Screened" Tag enabling quick filtering of AI-reviewed candidates.
Shortlist page designed for HM to approve, skip, or add optional notes.
Activity Notes capturing manager feedback to maintain a full audit trail.
This combination enables dynamic, automatically refreshed top candidate shortlists, ensuring your team quickly focuses on the highest-value talent.
Why Trakstar Hire Recruiting Teams Pick Skima AI
Trakstar Hire users adopt Skima AI because it integrates AI insights deeply without disrupting existing workflows.
Unified System
All scores, explanations, and HM comments appear natively within Trakstar candidate and job records.
Optimized Collaboration
Managers review shortlists via secure, no-login links; their feedback is fed directly back into Trakstar.
Real-Time Updates
Scores are updated instantly through webhook-based integrations to ensure data freshness.
Talent Rediscovery
Skima AI can scan past applicants and current pipeline candidates for hidden fits across hiring projects.
What Skima AI Writes Back to Trakstar Hire ATS
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Activity Note | SKIMA Match Score | Number (0–100) | 89 |
| Activity Note | SKIMA Reasons | Long Text (3-5) | "5 yrs SaaS sales; CRM familiarity; leadership" |
| Activity Note | Shortlist Link | URL | https://skima.ai/shortlist/abc |
| Candidate Tag | SKIMA Screened | Tag | SKIMA Screened |
| (Optional) Activity Note | HM Feedback | Enum | 👍 / 👎 / Maybe |
| (Optional) Activity Note | HM Comment | Short Text | Ready for final interview |
Note: Skima AI leverages Trakstar Hire's API and webhook systems to read candidate and job data in real-time and push enriched insights back as activity notes, tags, and optional stage updates.
How the shortlist loop works?
The Skima AI and Trakstar Hire integration creates a seamless shortlist collaboration mechanism.
Recruiter Shares the Shortlist
Skima AI generates a secure, no-login shortlist link and appends it as an activity note on candidate/job records.
Manager Reviews & Provides Feedback
managers click 👍, 👎, or "Maybe" and can add contextual comments on candidate fit.
Skima AI Updates Trakstar Hire
This feedback is automatically written back into Trakstar as activity notes.
Recruiter Acts on Insights
Recruiters see an explainable AI-ranked shortlist and confidently advance top candidates using real-time data.
This loop accelerates decision-making while preserving full transparency within the Trakstar Hire platform.
Field Map for Trakstar Hire ATS Integration
A clear data flow map helps Trakstar hire recruiting teams and IT admins understand exactly what Skima AI pulls in and pushes back.
Skima AI securely retrieves essential data from Trakstar Hire via its API for scoring and rediscovery:
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Candidate Data: Name, email, phone, location, resumes,.
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Opportunity Data: Job IDs, job title, description, department, and openings.
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Application Status: Current application stage and hiring pipeline progression.
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Historical Data: Past application and feedback records for candidate rediscovery across jobs.
After analysis, Skima AI writes structured insights back to Trakstar Hire using its native activity notes, tags, and optional stage changes:
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Activity Notes: Conveying AI match scores and scoring rationale.
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Candidate Tagging: Tag with"SKIMA Screened" for easy candidate filtering.
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Shortlist Link: Shortlist Link in activity notes for manager collaboration.
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Feedback: Hiring Manager feedback (👍 / 👎 / Maybe) with optional comments in activity notes.
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Optional stage changes: For pipeline tracking (configurable by the recruiting team).
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Fallback document attachments: (e.g., SKIMA_Evidence.pdf) if detailed scoring evidence is needed.
This data synchronization ensures real-time visibility and a consistent experience across Trakstar Hire's recruiting workflows.
Set up Your Trakstar Hire Integration
Setting up the Skima AI integration with Trakstar Hire is straightforward and requires minimal IT effort.
Below are 5 easy steps to set up your Trakstar integration:
Generate API credentials. As a Trakstar Hire Super Admin, create API credentials from Advanced Settings > API key.
Set up webhook endpoints to handle candidate and application events, subscribing to relevant event types for real-time data sync.
Adjust API key permissions and recruiter scopes to allow reading candidate/job data and writing activity notes and tags.
Test the connection on sample jobs—verify scores, shortlist feedback, and proper record updates.
Go Live enable on pilot roles, monitor ongoing syncs, and review periodic ROI reports from Skima AI.
Security &
Responsible AI
for Trakstar Hire
Integrations
When Skima AI is integrated with Trakstar ATS Skima AI prioritizes data privacy, security, and trustworthy AI practices :
- Match scores and reasons are based on resume content and transparent criteria, avoiding black-box decisions.
- All data flows use encrypted API calls and authenticated webhooks to secure candidate information.
- Role-based access ensures only authorized personnel can see scores and provide feedback.
- encryption in transit and at rest, with transparent subprocessors and compliance certifications.
- Every AI score, hiring manager feedback, and system action is recorded for transparency and fairness.
This approach ensures your Trakstar Hire recruiting integrations remains compliant, auditable, and bias-aware.
Customer Snapshot: 30-Day Pilot with Trakstar Hire ATS
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the Trakstar Hire ATS Integrations.
Does Skima AI integrate with Trakstar Hire ATS? How does it work?
Yes, Skima AI connects via Trakstar Hire's REST API and webhooks. It fetches candidate and job data, scores candidates, and writes back AI match scores and hiring manager feedback as activity notes and tags.
What fields does Skima AI write back to Trakstar Hire?
Skima AI uses activity notes for match scores, reasons, shortlist links, hiring manager feedback, and applies candidate tags for quick filtering.
How long does the Trakstar Hire integration setup take?
Setup typically takes 60-90 minutes, including API key generation, webhook configuration, permission setup, and verification on test jobs.
Are webhooks mandatory for Skima AI to function with Trakstar Hire?
Webhooks are strongly recommended for near real-time updates, but Skima AI supports safe periodic polling as a fallback.
Where will Match Scores and Reasons appear in Trakstar Hire?
They are visible as detailed activity notes attached to candidate/job records, integrated naturally in Trakstar Hire's timeline view.
Can managers provide feedback entirely within Trakstar Hire?
Yes, manager feedback is collected via the Skima shortlist link and written back as activity notes, keeping feedback fully inside Trakstar Hire.
What if our team has limited API permissions?
Read-only API access with activity note write permissions is enough for many functions, but full permissions enable richer integration features.
Does Skima AI support custom pipelines and stages in Trakstar Hire?
Yes, stage changes are optional and configurable to suit your recruiting workflows, with most teams preferring recruiter-controlled stage movements.
How frequently are match scores updated?
Scores update instantly through webhook triggers and refresh periodically while job postings remain active.
Can Skima AI rediscover past candidates within Trakstar Hire?
Yes, Skima AI analyzes historical candidate and application data to surface qualified candidates across multiple job openings.