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Section II · For the Recruiter

Prompts for the Recruiter

AI prompts for recruiters: outreach messages, sourcing notes, candidate updates, and intake debriefs.

§ Overview

Recruiting is a writing-heavy job wearing a people-heavy disguise. Before any conversation happens, someone has to write a job description that attracts the right people without scaring off good ones, build interview questions that actually predict performance, and design a scorecard so five interviewers aren't grading on five different scales. AI tools like ChatGPT and Claude are strong collaborators for exactly that structured, repeatable groundwork.

The prompts in this collection focus on that hiring scaffolding. There are inclusive, outcome-focused job descriptions split into must-haves and nice-to-haves to widen the funnel; structured interview question sets across technical, behavioral, and culture-fit categories; and hiring scorecards with competencies, anchors, and disqualifiers. Several go further — role-specific questions paired with strong-answer cues and red flags — so scoring stays consistent from one interviewer to the next.

Prompting well matters because the cost of vague output here is real bias and bad hires. A loose prompt produces a job description full of jargon that filters out qualified candidates, or interview questions that reward confidence over competence. A specific one — naming the role's true outcomes and the must-have versus nice-to-have line — gives you a fairer, sharper starting point.

§ Field Notes

What makes a good prompt for a recruiter

Good recruiting prompts force structure and fairness. For a job description, the win is asking the AI to split requirements into must-haves and nice-to-haves and to flag jargon or gendered language — that's what actually widens the funnel. For interview content, the value is in scoring cues: strong-answer signals, red flags, and anchored rating scales that let different interviewers reach the same conclusion about the same candidate.

It also helps to ground everything in the role's real outcomes rather than a generic title. Tell the AI what success in this job looks like in six months, and the questions and competencies it generates will probe for that, instead of producing the same boilerplate set you'd get for any opening.

§ Pro Tips

Get sharper results

  • 01Ask the AI to flag biased, exclusionary, or jargon-heavy language in your job description and rewrite it in plain terms — small wording changes measurably widen who applies.
  • 02Always split requirements into must-haves and nice-to-haves and tell the AI to be ruthless about the line; padded must-have lists are the most common reason strong candidates self-select out.
  • 03Request strong-answer cues and red flags alongside each interview question, so a structured scorecard keeps every interviewer grading against the same anchors instead of gut feel.
  • 04Ground the prompt in what success in the role looks like after six months, not just the title, so the generated questions probe real on-the-job outcomes rather than generic competencies.
§ FAQ

Common questions

Can AI help me write more inclusive job descriptions?

Yes. Ask it to flag gendered or exclusionary wording, cut unnecessary jargon, and split requirements into must-haves and nice-to-haves. Those structural changes are what actually broaden the applicant pool. Review the result against your own knowledge of the role, since the AI doesn't know your team's real constraints.

How do I keep interviews consistent across multiple interviewers?

Use the AI to build a structured scorecard with defined competencies, rating anchors, and disqualifiers, plus strong-answer cues for each question. When everyone scores against the same anchors, you reduce the variance that comes from different interviewers weighting things differently.

Won't AI-generated interview questions feel generic?

They will if you only give it a job title. Feed it the role's real outcomes and the specific competencies you're hiring for, and ask for role-specific questions with scoring cues. The specificity of your input is what separates a useful question set from a templated one.

§ The Prompts · 5