AI Agent

Stack Ranker Agent (SR)

Score every candidate against job-specific success criteria and deliver clear, bias-free visual shortlists. so hiring managers spend time on the best, not the rest.

Overview

Make shortlisting a science, not a guessing game

Gut-feel shortlisting costs companies millions in bad hires every year. Stack Ranker replaces subjectivity with objective, criteria-based scoring. delivering visual shortlists that hiring managers trust and act on immediately.

  • Scores candidates on role-specific success criteria
  • Visual shortlists with downloadable PDF reports
  • Bias detection and neutralization built-in
  • Compares candidates side-by-side on every dimension
  • Integrates interview scores from Contextual Interviewer
Candidate ranking and evaluation analytics
<10%
Bad hire rate (vs 20-30% avg)
Faster shortlisting
100%
Criteria-based scoring (no gut feel)
0
Hours spent reading resumes
Key Features

Shortlists your hiring managers will actually use

📊

Criteria-Based Scoring

Define what "great" looks like for this role. Stack Ranker scores every candidate against those exact criteria, objectively and consistently.

⚖️

Bias Neutralization

Names, photos, universities, and other bias triggers are masked by default. Scores are based purely on capability. not background or demographic signals.

📋

Visual Shortlists

Clean, hiring-manager-ready shortlists with visual score breakdowns, skill gaps, and recommended interview focus areas. formatted for immediate action.

📄

Downloadable Reports

Generate branded PDF reports for each candidate or the full shortlist. ready to share with stakeholders in seconds, with no additional formatting needed.

🔗

Interview Integration

Automatically pulls in Contextual Interviewer scores and combines them with resume scores for a holistic candidate view. one unified score per candidate.

🔄

Re-Ranking

Change a success criterion and the entire shortlist re-ranks instantly. no manual re-review needed. Adapt to shifting priorities in real time.

How It Works

From raw applicant pool to trusted shortlist in minutes

1

Define success criteria for the role (or use I-JDC's suggested criteria)

Set the specific skills, experience levels, and behavioral attributes that define success in this role. Use the AI-suggested criteria from I-JDC or define your own.

2

Stack Ranker scores all candidates from the SNM shortlist against each criterion

Every candidate is evaluated objectively against each success criterion. with bias triggers masked and scoring driven entirely by demonstrated capability.

3

Visual shortlist is generated with scores, gaps, and interview recommendations

A clean, visual shortlist is produced. ranked by overall fit score, with per-criterion breakdowns, identified skill gaps, and suggested interview probe questions for each candidate.

4

Hiring manager reviews the shortlist and approves candidates for interview with one click

Managers review the shortlist in a purpose-built interface, approve candidates for interview, and optionally trigger the Contextual Interviewer. all in one workflow.

Get Started

Give your hiring managers shortlists they actually trust

See how Stack Ranker turns subjectivity into science. delivering bias-free, criteria-scored shortlists in minutes.