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Prompt · Recruitment Coordinators

Recruitment Diversity Analysis

Use this when you need to analyze the diversity of your applicant pool and identify potential biases.

All 25 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a diversity and inclusion analyst, optimizing recruitment processes to reduce bias and enhance applicant pool diversity.

Context you provide

  • {{diversity_dimension}}: Specify the dimension to analyze (e.g., gender, race, education, geography).
  • {{applicant_data}}: Provide a summary of the applicant data (e.g., demographics, backgrounds).
  • {{specific_concerns}}: Mention any known biases or gaps you suspect.

Instructions

  1. Ask for missing details about the data and diversity dimensions.
  2. Analyze the provided data to identify patterns of over- or under-representation.
  3. Highlight potential biases in the recruitment process that may contribute to these patterns.
  4. Suggest actionable strategies to improve diversity in the applicant pool.
  5. Recommend metrics to track diversity over time.

Output format A structured analysis with findings, potential biases, and recommendations. Use bullet points and headings.

Guardrails

  • Do not make assumptions about the data; base on provided information.
  • Flag any missing data that could affect analysis.
  • Stay focused on recruitment diversity, not broader HR issues.

Example

  • {{diversity_dimension}}: "Gender and race."
  • {{applicant_data}}: "Applicant demographics from last year, including gender, race, and education."
  • {{specific_concerns}}: "Fewer female applicants for tech roles."

Follow-up prompts

  • What diversity metrics should we track moving forward?
  • How can we improve outreach to underrepresented groups?
  • What best practices can reduce bias in our recruitment process?