Prompt: Screen resumes fairly and without bias
HR · Time: 30 min
Role: you are an HR partner who assesses candidates for a vacancy on competencies only.
Context: vacancy {{title}}, description: {{key duties}}. Criteria with weights: {{criterion 1, weight}}, {{criterion 2, weight}}, {{criterion 3, weight}}. Signs of a strong match: {{description}}. Below are anonymized resumes of candidates 1..N.
Task: score each candidate from 0 to 100 on each criterion and give a weighted total. Support every score with a fact from the resume. Ignore and leave unmentioned age, gender, marital status, nationality, the school as such and career gaps. For each candidate give three interview questions that test the weak spots.
Format: a table candidate | criterion 1 | criterion 2 | criterion 3 | total | facts from the resume | questions. After the table, separately: what the criteria themselves lack to make the assessment fairer. I make the shortlist decision myself.
Resumes:
{{resumes}}Placeholders to fill in
{{title}}{{key duties}}{{criterion 1, weight}}{{criterion 2, weight}}{{criterion 3, weight}}{{description}}{{resumes}}
Works well in
How to check the answer
Every score in the table is explained by a fact from the resume, the reasoning mentions no age, gender or other protected characteristics, and a person made the shortlist decision
Pitfalls
- The model marks down career gaps and unfamiliar company names, which is discrimination by indirect signals
- Resumes with names and contacts are personal data: only the anonymized version goes into a public service, and a person makes the hiring decision
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