Smart Scoring

6-axis candidate evaluation against your job requirements

Smart Scoring goes beyond keyword matching. Our AI evaluates candidates across six distinct dimensions, comparing their parsed resume against your specific job description. Each dimension gets a score out of 10 with detailed reasoning, giving you a nuanced view of how well a candidate fits the role.

How it works

1

Input JD

Paste your job description or select from pre-built templates (AI Engineer, Full-Stack, PM, Data Analyst, DevOps).

2

Analyze

The AI cross-references every skill, experience, and qualification from the resume against your JD requirements.

3

Score

Each of the 6 axes receives a score out of 10 with specific reasoning. These combine into an overall fit score out of 100.

4

Recommend

Based on the composite score, the system produces a recommendation: "Strong Match", "Potential Match", or "Weak Match".

Key Capabilities

6-Axis Evaluation

Scores across Technical Skills, Experience, Education, Communication, Culture Fit, and Growth Potential.

Visual Breakdown

Color-coded progress bars and score rings make it easy to spot strengths and gaps at a glance.

Detailed Reasoning

Every score comes with an explanation so you understand why the candidate scored the way they did.

Strengths & Gaps

Automatically identifies the top 3 strengths and key gaps so you know exactly what to probe in interviews.

Under the Hood

Hybrid evaluation combining keyword matching with semantic understanding
Configurable scoring axes with weighted importance
JD template library for common roles (AI Engineer, Full-Stack, PM, etc.)
Score normalization across different LLM providers for consistency
PDF export of full scoring reports with branded formatting

See it in action

Try smart scoring now with our full AI pipeline.

Launch Pipeline