Resume Screener

Systematically evaluate resumes against job requirements to identify qualified candidates, flag concerns, and prioritize for interviews.

When to Use This Skill

• High-volume application screening

• Creating screening criteria

• Building evaluation rubrics

• Training hiring managers

• Audit of screening consistency

Methodology Foundation

Based on structured interviewing research and EEOC guidelines, combining:

• Job-related criteria only

• Objective scoring rubrics

• Bias-aware evaluation

• Documentation requirements

What Claude Does vs What You Decide

Claude Does You Decide

Creates screening rubrics Hiring decisions

Scores against criteria Culture fit assessment

Identifies red/green flags Interview invitation

Summarizes qualifications Final selection

Flags potential concerns Exception handling

Instructions

Step 1: Define Job Criteria

Required vs. Preferred:

Category Must Have Nice to Have

Education Minimum degree Advanced degree

Experience X years in Y Specific industry

Skills Core technical Adjacent skills

Certifications Required licenses Preferred certs

Scoring Weight:

Criterion Weight Rationale

Required experience 40% Core capability

Required skills 30% Day-one impact

Education 15% Foundation

Preferred qualifications 15% Growth potential

Step 2: Create Screening Rubric

Scoring Scale:

Score Definition

4 Exceeds requirement significantly

3 Meets requirement fully

2 Partially meets requirement

1 Does not meet requirement

0 Cannot assess from resume

Step 3: Evaluate Resume

Assessment Framework:

• Check must-have requirements (binary pass/fail)

• Score each criterion (1-4 scale)

• Calculate weighted total

• Identify flags (red and green)

• Make recommendation

Step 4: Document Findings

For Each Resume:

• Overall score

• Must-have checklist

• Criterion-by-criterion scores

• Flags and concerns

• Recommendation with rationale

Step 5: Prioritize Candidates

Priority Matrix:

Score Range Action

80-100% Priority interview

60-79% Standard review

40-59% Conditional hold

<40% Not qualified

Examples

Example 1: Full Resume Screening

Input:

Job: Senior Product Manager

Requirements:

• 5+ years product management experience
• B2B SaaS background required
• Technical degree or equivalent experience
• Experience with Agile methodologies
• Preferred: MBA or similar

Resume: Jane Smith Product Manager at TechCorp (3 years)

• Led product roadmap for B2B analytics platform
• Managed team of 4 designers and engineers
• Increased user retention by 35%

Associate PM at StartupXYZ (2 years)

• B2C mobile app
• Launched 3 major features

Education: BS Computer Science, Stanford Certifications: CSPO, SAFe Agilist

Output:

Resume Screening: Jane Smith

Quick Summary

Position: Senior Product Manager Candidate: Jane Smith Score: 78/100 - STANDARD REVIEW

Must-Have Requirements

Must-Have Result: PASS (4/4)

Detailed Scoring

Total Score: 75/100

Green Flags

Yellow Flags

Red Flags

None identified.

Interview Recommendation

Decision: RECOMMEND FOR INTERVIEW

Rationale:

• Meets all must-have requirements
• Strong B2B SaaS experience at TechCorp
• Technical background exceeds expectations
• Quantified achievements show impact

Interview Focus Areas:

1. Depth of B2B product strategy experience
2. Transition from B2C to B2B context
3. Scale of products managed (ARR, users)
4. Examples of cross-functional leadership

Comparison Notes

Candidate is solid but not exceptional. Meets requirements without significantly exceeding them. Consider alongside stronger candidates if available.

Example 2: Batch Screening Summary

Input:

Screen these 5 candidates for Marketing Manager: Requirements: 3+ years marketing, B2B experience, analytics skills

1. Alice: 5 years B2B marketing, Google Analytics certified
2. Bob: 2 years marketing, B2C only, strong analytics
3. Carol: 4 years, mixed B2B/B2C, basic Excel
4. David: 6 years B2B, owns marketing analytics tool
5. Eve: 3 years B2B, HubSpot certified

Output:

Batch Screening Summary: Marketing Manager

Quick Rank

Individual Summaries

1. David (95%) - PRIORITY INTERVIEW

Standout: Exceptional analytics depth - owns a marketing analytics tool Interview: Immediately

2. Alice (85%) - PRIORITY INTERVIEW

Standout: Solid all-around, Google Analytics certification Interview: This week

3. Eve (75%) - STANDARD REVIEW

Concern: HubSpot is automation, not analytics Interview: Probe analytics skills deeper

4. Carol (55%) - CONDITIONAL HOLD

Concern: Weak analytics foundation Hold: Consider if top candidates decline

5. Bob (40%) - NOT QUALIFIED

Disqualified: Does not meet experience or B2B requirements Action: Reject with positive note on analytics skills

Screening Actions

Skill Boundaries

What This Skill Does Well

• Structuring evaluation criteria

• Consistent scoring application

• Identifying relevant flags

• Documenting decisions

What This Skill Cannot Do

• Assess culture fit

• Verify claims accuracy

• Conduct background checks

• Replace human judgment

Important Compliance Notes

• Focus only on job-related criteria

• Avoid protected class considerations

• Document all decisions

• Apply criteria consistently

Iteration Guide

Follow-up Prompts:

• "Create interview questions based on this screening"

• "What should I probe further with [candidate]?"

• "Compare these top 3 candidates side by side"

• "Draft rejection email for [candidate]"

References

• SHRM Structured Interviewing Guidelines

• EEOC Uniform Guidelines on Employee Selection

• Google re:Work Hiring Practices

• Lever Recruiting Best Practices

Related Skills

• interview-scheduler

• Coordinate interviews

• onboarding-guide

• Post-hire integration

• job-description-writer

• Create requirements

Skill Metadata

• Domain: HR Operations

• Complexity: Intermediate

• Mode: centaur

• Time to Value: 10-15 min per resume

• Prerequisites: Job requirements, resumes