Candidate Screening Summary

The Challenge

Recruiters review dozens of applications per role. Each requires comparing resumes to job requirements, checking LinkedIn, and summarizing qualifications — time that could go toward candidate engagement.

The AI Desk Solution

AI Desk creates structured candidate summaries with skills matching and interview recommendations.

The Workflow

Step 1: Candidate Application

Trigger: New application in Greenhouse
Sources: Resume, LinkedIn, job description

Step 2: Analysis

• Skills extraction
• Experience mapping
• Requirement matching
• Red flag detection

Step 3: Screening Summary

👤 Candidate Summary: Alex Rivera

ROLE: Senior Software Engineer
MATCH SCORE: 85%

EXPERIENCE HIGHLIGHTS
├── 7 years total engineering experience
├── 4 years at enterprise SaaS companies
├── Led team of 5 at previous role
└── TypeScript, Python, AWS expertise

REQUIREMENTS MATCH
├── ✓ 5+ years experience
├── ✓ Backend + Frontend skills
├── ✓ Team leadership
├── ⚠ No Kubernetes (learnable)
└── ✓ SaaS background

NOTABLE ACHIEVEMENTS
├── Built real-time analytics at scale
├── Reduced API latency by 60%
└── Open source contributions

POTENTIAL CONCERNS
├── Short tenure at last role (11 mo)
└── No formal CS degree (bootcamp)

INTERVIEW FOCUS
├── Probe reason for short tenure
├── Assess system design skills
├── Evaluate Kubernetes learning curve

RECOMMENDATION: Proceed to phone screen

Value Proposition

• Time Saved: 30 minutes per candidate
• Consistent Evaluation: Same criteria applied
• Better Decisions: Structured comparison