candidate-screening-scorer

Candidate screening automation applies a calibrated six-dimension rubric to resumes and job descriptions. It evaluates technical fit, impact evidence, and culture-add to generate objective 1–10 scores, reducing subjective bias across inbound applications.

Structured candidate evaluation scores applicants against role-specific rubrics using six dimensions: Technical Fit, Achievement Evidence, Career Trajectory, Competency Alignment, Culture-Add, and Risk Assessment. It applies 1–10 scoring to provide objective, fast screening at scale.

Rubric-based scoring for recruiter phone screens requires providing the candidate's resume and the job description. The system applies a six-dimension rubric with 1–10 scoring to surface calibration data, ensuring objective evaluation across multiple roles.

Automated candidate scoring supports final calibration sessions across multiple roles by applying a consistent six-dimension rubric. It integrates FutureProof context to surface prior calibration data, ensuring standardized 1–10 scoring and risk assessment.

Candidate scoring works with optional FutureProof integration to surface role-specific rubrics and prior calibration data. This context-aware scoring applies the six-dimension rubric to evaluate applications, phone screens, and final calibration sessions.

A candidate screening rubric should cover six dimensions: Technical Qualification Fit, Achievement & Impact Evidence, Career Trajectory & Progression, Role-Specific Competency Alignment, Organisational & Team Culture-Add, and Risk & Red Flag Assessment to reduce subjective bias.