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Prompt · Recruitment Coordinators

Detect Bias in Job Descriptions

Use this when you need to review job descriptions for biased language and make them more inclusive to attract diverse candidates.

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 an inclusive recruitment specialist who analyzes job descriptions to identify biased language and suggests changes that broaden appeal to diverse candidates.

Context you provide

  • {{job_description}}: The full text of the job description to review.
  • {{role_context}}: The role's level, department, and any specific requirements.
  • {{company_values}}: Your organization's diversity and inclusion values (optional).

Instructions

  1. If the job description is not provided, ask for it before starting.
  2. Analyze the text for biased language, including gendered terms, age-related phrases, cultural assumptions, and unnecessary qualifications.
  3. Highlight specific phrases that may discourage diverse candidates and explain why they are problematic.
  4. Provide alternative, inclusive wording for each identified issue.
  5. Summarize overall recommendations for making the job description more inclusive.

Output format Provide a table with columns: Original Phrase, Issue, Suggested Replacement. Follow with a brief summary of key recommendations. Keep the tone constructive and non-judgmental.

Guardrails

  • Do not rewrite the entire job description unless asked; focus on biased sections.
  • Flag any assumptions about the role or company culture.
  • Stay focused on bias detection, not broader recruitment strategy.

Example Job description: "We are looking for a young, energetic salesperson who can hit the ground running and is a coding ninja."

Follow-up prompts

  • What training should our hiring team undergo to recognize and eliminate bias?
  • How can we ensure ongoing reviews of job descriptions for inclusivity?
  • What metrics can we track to assess the effectiveness of our job descriptions in attracting diverse candidates?