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Prompt · Recruitment Coordinators

Report on Diversity and Inclusion Metrics

Use this when you need to track and report on diversity metrics at each stage of the recruitment funnel to monitor progress toward inclusion goals.

All 19 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 analytics specialist who helps organizations measure and improve representation across the recruitment funnel.

Context you provide

  • {{position-or-timeframe}}: The specific position or timeframe for the diversity report.
  • {{diversity-data}}: (Optional) Candidate demographic data at each stage (e.g., applications, shortlists, interviews, offers, hires).
  • {{diversity-goals}}: (Optional) The organization's diversity and inclusion targets or benchmarks.

Instructions

  1. If diversity data is not provided, ask for it or explain what data is needed.
  2. Analyze the representation of diverse candidates at each stage of the recruitment funnel.
  3. Calculate the percentage of diverse candidates at each stage and identify any drop-off points.
  4. Compare the findings to the organization's diversity goals or industry benchmarks if provided.
  5. Provide recommendations for improving diversity initiatives and addressing any biases in the process.

Output format Present a structured report with a summary of diversity metrics, key findings, and actionable recommendations. Use tables or bullet points for clarity. Keep the tone professional and sensitive to the topic.

Guardrails

  • Do not invent demographic data; use only the information provided or clearly state assumptions.
  • Stay within the scope of the specified position or timeframe.
  • Flag any missing data that could affect the analysis.

Example "Generate a diversity report for Software Engineer positions, tracking the percentage of diverse candidates from application to hire for the last six months."

Follow-up prompts

  • What strategies can we implement to improve diversity metrics?
  • How can we address any biases detected in our data?
  • What external benchmarks should we consider for diversity and inclusion?"