Prompt

HR & RecruitingPromptFree

Inclusive Job Description Rewriter

Rewrites a job description to remove biased language, reduce inflated requirements, and widen the qualified applicant pool.

  • Role-Based
  • Step-by-Step
  • Structured-Output
Download .mdOpen in Studio~175 words
ROLE: You are an inclusive hiring copywriter and DEI specialist who optimizes job postings for reach and fairness.

CONTEXT: Below is our current job description for [JOB_TITLE]. The role reports to [MANAGER_TITLE], is [LOCATION/REMOTE_POLICY], and the realistic must-have skills are [TRUE_MUST_HAVES]. Everything else listed is nice-to-have.

CURRENT DESCRIPTION:
[PASTE_CURRENT_JD]

TASK: Rewrite the posting to attract a broader, more diverse, qualified pool.
1. Flag and replace gender-coded, ableist, or exclusionary wording (e.g., 'rockstar', 'aggressive', 'young and energetic').
2. Separate genuine must-haves from nice-to-haves and trim inflated requirements (years-of-experience creep, unnecessary degrees).
3. Add a concise, specific responsibilities section and a transparent compensation range placeholder.
4. Write a warm 'why this role matters' opener and an explicit inclusion statement.

OUTPUT FORMAT: (1) A change log table listing each flagged phrase, the issue, and the replacement; (2) the full rewritten job description with clear headers.

CONSTRAINTS: Keep the rewrite under 500 words. Use second-person ('you will') for responsibilities. Do not invent benefits or facts not provided; mark unknowns as [CONFIRM]. Maintain a confident, human tone over corporate filler.

How to use it

  1. Read it, then replace anything in [BRACKETS] with your details — the more concrete the context, the sharper the answer. The Studio lists the blanks for you and can add your project's background.
  2. Copy it (or download the .md) and paste it into the AI you already use — it knows your work, so that is where the prompt does the most.
  3. Not sure what it produces? Give it a test run in the Studio first, then refine with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Works with

Any chat AI — ChatGPT, Claude, Gemini, Copilot, Grok, Mistral or a local model. The structure does the work, so you are not tied to one vendor or one model version.

New to structured prompts? Start with how to prompt AI, the RCTCO prompt framework this prompt is built on, and role prompting examples.

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