What Is an FRR Score? How CAIJA Measures Resume Fit

Beyond Keyword Matching

Most resume scoring tools count keywords. They compare your resume to the job description, tally the matches, and give you a percentage. The assumption is simple: more keyword matches equals a better resume.

That assumption is wrong.

A resume can contain every keyword in the job description and still get rejected. Why? Because recruiters do not evaluate resumes by counting words. They evaluate fit: does this person's experience, level, and trajectory match what we need? A keyword match does not answer that question. Evidence does.

What the FRR Score Measures

The First Review Ranking (FRR) Score measures how likely your resume is to survive a recruiter's initial review. Not an ATS scan. The human review that happens after the ATS filter, where a recruiter spends 7 seconds deciding whether to read further or move on.

The FRR Score evaluates your resume across multiple dimensions:

Requirement Matching: For each requirement in the job description, CAIJA looks for specific evidence in your resume. Not keywords, but proof. If the JD asks for "5+ years of project management," CAIJA looks for project management experience with duration evidence. Each requirement gets a classification:

• Met (A): Direct evidence exists in your resume
• Partial (B/C): Related experience exists but does not fully satisfy the requirement
• Gap (D): No evidence found

Positioning Analysis: Beyond individual requirements, the FRR Score evaluates how well your overall career trajectory aligns with the role. Are you positioned at the right level? Does your industry experience match? Is there a clear narrative connecting your background to this opportunity?

Rejection Risk: The score identifies specific factors that could trigger an immediate rejection: unexplained gaps, credential mismatches, title-level misalignment, or missing critical qualifications.

How the Score Is Calculated

The FRR Score is not a single number from a single model. It is the output of a multi-stage analysis pipeline:

1. Requirement extraction: The job description is parsed into individual requirements, weighted by importance (must-have vs nice-to-have)

2. Evidence matching: Each requirement is matched against specific evidence in your resume, with classification rules that enforce consistency

3. Gap identification: Missing or partially met requirements are flagged with specific recommendations

4. Scoring: The weighted evidence across all requirements produces the final FRR Score

The scoring uses deterministic classification rules to prevent the score from fluctuating on identical inputs. A degree requirement, for example, follows a strict hierarchy: a higher degree always satisfies a lower requirement (a Master's meets a Bachelor's requirement), and a lower degree never satisfies a higher requirement.

What the Score Tells You

An FRR Score is not a pass/fail grade. It is a diagnostic tool that tells you:

• Where you stand: Your overall alignment with the role, expressed as a score and a category (Strong Match, Competitive, Needs Work, etc.)
• What is working: Which requirements your resume already satisfies with strong evidence
• What is missing: Specific gaps between your resume and the job requirements
• What to do about it: Actionable recommendations for addressing each gap, whether through resume tailoring, additional context, or honest acknowledgment

Why This Matters

The difference between a keyword match score and an FRR Score is the difference between "your resume contains the right words" and "your resume proves you can do this job."

Recruiters do not count keywords. They look for evidence. The FRR Score evaluates your resume the way a recruiter would, then tells you exactly what they will see, what they will miss, and what you can do about it before you apply.