# Credensa ATS Analysis Methodology

Credensa's public ATS checker is a structured resume review tool. It does not guarantee interviews, rankings, recruiter decisions, or job offers.

## What the checker reviews

The checker focuses on six practical resume signals.

### 1. Keyword relevance

Checks whether the resume uses role-relevant terminology naturally. Keywords should appear inside real experience, projects, skills, and summary text rather than being repeated without evidence.

### 2. Section completeness

Checks whether the resume includes expected sections such as summary, skills, experience, projects, education, and role-specific sections when useful.

### 3. Formatting signals

Checks for readable structure, parseable text, clear headings, and document patterns that are easier for ATS systems and recruiters to scan.

### 4. Skill relevance

Checks whether listed skills match the target career area and whether important skills are supported by work, project, or education evidence.

### 5. Experience clarity

Checks whether experience bullets explain ownership, work performed, tools used, and outcomes. Strong bullets connect action, technical approach, and result.

### 6. Project impact

Checks whether projects show problem, stack, architecture, implementation, and measurable or observable outcome where available.

## Role-specific guidance

Credensa maintains role-specific pages for trending job families. These pages help users understand which ATS terms, proof examples, and section structures are more relevant for a target role.

Examples:

- AI Engineer
- Machine Learning Engineer
- Data Analyst
- Cybersecurity Analyst
- Cloud Engineer
- DevOps Engineer
- Software Engineer
- Full Stack Developer
- Product Manager
- UX/UI Designer

## Privacy behavior

The public checker is designed for browser-side resume analysis. Supported files are extracted and analyzed locally for the free scan.

## Limits

- The score is not a hiring decision.
- The score is not a guarantee of ATS performance across every employer.
- Resume quality still depends on proof, role fit, writing clarity, and human review.
- Users should not add skills, metrics, or achievements they cannot support.