Explainable Candidate Pipeline

Every candidate is WARREN-C™ scored with transparent feature contributions, fairness status, and recommended actions.

Shortlisted

18
↑ 12% vs last week

In Hiring Manager Review

9
Avg time: 2.1 days

Offers Out

3
100% acceptance likelihood

Fairness Alerts

2
Mitigation suggested
Candidate Target Role WARREN-C™ Score Stage Fairness Top Signal Recommended Action
Aliyah McMahon Senior Data Analyst 92% Shortlisted Meets thresholds 4x Skill vector alignment on SQL, dbt, Tableau
Diego Chen Senior Data Analyst 88% Hiring Manager Review Mitigation queued Promotion velocity exceeds cohort avg by 24%
Priya Desai Senior Data Analyst 85% Offer Meets thresholds Greenhouse scorecards highlight 5/5 analytics impact
Marcus Osei Senior Data Analyst 81% Shortlisted Meets thresholds High retention likelihood from Workday signal
Yasmin Farah Senior Data Analyst 79% Hiring Manager Review Mitigation queued Gap in leadership skills flagged—suggest learning path

Explainability Spotlight

  • 🧠 Top driver today: Business impact narratives from Greenhouse interviews contribute +7.2 pts on avg.
  • ⚖️ Fairness watch: Gender balance within shortlist improved to 52% women after mitigation rule QM-FR-204 executed.
  • 📄 Audit trail: Every score change logged in the Fairness Vault with signature & reviewer notes.

Recommended Actions

  • 🤝 Invite Aliyah McMahon and Marcus Osei to the collaborative interview workspace.
  • 📊 Trigger bias simulation on the Senior Data Analyst role prior to final offers.
  • 🎯 Launch Upskilling Journey for candidates scoring 75-80% to keep them engaged.

Candidate profile

WARREN-C™ Score

Professional Summary

Key Skills

    Experience

      WARREN Score Breakdown

        Why this match?

        Interview & Collaboration Timeline

          Engagement & Automations

            Risks & Guardrails

              All actions feed the immutable audit log with timestamps, reviewer IDs, and fairness metrics aligned to EEOC & OFCCP guidance.