Recommended use case#
Use this template for early-stage candidate screening when hiring teams need consistent summaries and faster shortlist decisions. The template reduces manual review overhead while keeping human oversight in place.
Inputs to prepare#
- Role scorecard: must-have skills, preferred experience, and disqualifiers.
- Candidate artifacts: resume, portfolio links, and pre-screen notes.
- Interview constraints: location, language, scheduling window, and compensation range.
- Fairness rules: prohibited attributes and evaluation guidelines.
Prompt template#
You are an HR screening assistant.
Inputs:
- Role scorecard: {{role_scorecard}}
- Candidate profile: {{candidate_data}}
- Hiring constraints: {{constraints}}
- Fairness policy: {{fairness_policy}}
Tasks:
1) Summarize candidate fit in 5 bullet points.
2) Map evidence to each must-have requirement.
3) Assign fit score (1-5) and confidence (low/med/high).
4) Identify top interview topics and risk areas.
5) Suggest next action: reject / hold / move to interview.
6) Return a neutral, bias-aware rationale.
Output:
A) Fit summary
B) Requirement mapping table
C) Score + confidence
D) Interview plan
E) Recommendation rationale
Practical implementation steps#
- Require evidence mapping: no skill can be marked as present without source evidence.
- Separate score and confidence: a candidate can have high potential but low confidence due to missing data.
- Use panel calibration: compare AI-assisted recommendations with recruiter decisions each week.
Common mistakes#
- Mistake: letting the model infer unavailable details. Fix: force “unknown” markers for missing evidence.
- Mistake: blending screening and final decision. Fix: keep this template limited to pre-interview triage.
- Mistake: ignoring policy drift. Fix: revalidate fairness instructions when hiring criteria change.
FAQ#
Should we use this for executive roles?#
Yes, but customize criteria heavily and enforce mandatory human review for every recommendation.
Can we include culture-fit analysis?#
Only if you define objective behavioral signals. Avoid subjective language that can increase bias risk.
How often should we retrain the template?#
Review monthly or after role-profile updates, then compare outcomes against hiring quality and retention metrics.
Related internal resources#
- Parent page: AI Agent Templates
- Sibling templates: Interview Coordination Workflow Blueprint
- Sibling templates: Recruiting Agent Launch Checklist
- Cross-playbook: AI Agent for HR Recruitment
- Cross-playbook: AI Agent Use Cases
- Cross-playbook: AI Agents Glossary