HR & Recruiting5.0 · 0 ratings

Inclusive Job Description Rewriter

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

Role-BasedStep-by-StepStructured-Output

Prompt

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 this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer 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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Recommended models

claudegpt-4ogemini

Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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