Our Methodology

Learn how we analyze resumes using a combination of AI technology, industry best practices, and data from thousands of successful applications.

Data-Driven Resume Analysis

Our analysis methodology is built on three foundational pillars: advanced AI technology, empirical data from successful job applications, and established best practices from recruiting professionals.

We don't guess what makes a resume effective—we know, because we've analyzed thousands of resumes that led to interviews and job offers.

AI Analysis Engine

Natural language processing and machine learning models trained specifically for resume evaluation.

Our AI analyzes:

Semantic Understanding: Not just keyword matching—we understand context, synonyms, and related concepts to evaluate true skill relevance.

Achievement Detection: Our models distinguish between job responsibilities and actual achievements, identifying quantifiable results and impact.

Quality Scoring: Each section receives weighted scoring based on its importance to recruiters and ATS systems.

Pattern Recognition: Identifies common issues that frequently lead to rejection, from formatting problems to content weaknesses.

Empirical Data Foundation

Our recommendations are based on data from real-world hiring outcomes, not just theory.

15,000+

Resumes analyzed across various industries and experience levels

98%

Of Fortune 500 companies use ATS systems that we've tested against

50+

Recruiting professionals consulted in developing our methodology

7.4s

Average time recruiters spend on initial resume review—we optimize for this

ATS Simulation Technology

We simulate how major ATS platforms parse and rank your resume.

ATS Systems We Test Against:

Workday

Used by 45% of Fortune 500

Taleo

Oracle's enterprise solution

Greenhouse

Popular in tech companies

iCIMS

Widely adopted platform

Lever

Modern ATS solution

SmartRecruiters

Cloud-based platform

We continuously update our parsing algorithms as ATS platforms evolve to ensure your resume remains compatible.

Multi-Dimensional Scoring Framework

Each resume is evaluated across six weighted categories that matter most to hiring.

ATS CompatibilityWeight: 25%

Can ATS systems parse your resume correctly? This is critical—if the system can't read it, humans won't see it.

Content QualityWeight: 25%

Are you showing achievements or just listing responsibilities? Impact-focused content wins interviews.

Keyword OptimizationWeight: 20%

Right keywords in the right places help both ATS matching and recruiter scanning.

Visual ImpactWeight: 15%

Recruiters spend 7.4 seconds on average. Clean, scannable design captures attention.

Professional StandardsWeight: 10%

Grammar, consistency, and format errors can instantly disqualify candidates.

Career ProgressionWeight: 5%

Clear growth trajectory demonstrates ambition and capability development.

Continuous Improvement

Our methodology evolves as hiring practices change and new data becomes available.

Regular Updates: We update our AI models monthly with new data and emerging best practices
Industry Feedback: We maintain relationships with HR professionals and recruiters to stay current
ATS Monitoring: We track updates to major ATS platforms and adjust our parsing simulation accordingly
User Feedback: Success stories and feedback from users help us refine recommendations

Experience Our Methodology

Put our data-driven approach to work for your resume. Get actionable insights backed by real hiring outcomes.

Analyze Your Resume