Prompts / HR & Recruiting

ChatGPT prompts for talent acquisition

This page provides practical prompts for common talent acquisition work while protecting candidate fairness and privacy. Use them as starting points with your approved job requirements and hiring process.

PromptOpen ChatGPTOpen Claude
Create a copy-paste talent acquisition prompt pack for a recruiter hiring for [ROLE AND LEVEL] at [COMPANY OR TEAM]. The approved requirements are [JOB REQUIREMENTS], the hiring context is [HIRING CONTEXT], and our process, inclusion, privacy, and legal constraints are [HIRING GUARDRAILS].

Produce 8 separate prompts, each 120 to 180 words, for these tasks: intake calibration, job-description review, sourcing plan, candidate outreach, structured interview design, interview-scorecard design, candidate experience communication, and debrief preparation.

Each prompt must include its own placeholders and tell the AI exactly what to return. Make the prompts useful for a recruiter, not generic HR writing. For example, sourcing should distinguish must-have from trainable qualifications and propose adjacent backgrounds; interview design should test defined competencies with behavior-based questions and follow-ups; debrief preparation should separate evidence from impressions and compare candidates to the same rubric.

For every prompt, require the AI to avoid inferring protected characteristics, making hiring decisions from personal data, inventing candidate experience, or using demographic details as proxies for job capability. Candidate summaries must distinguish verified evidence, candidate claims, and unknowns. The prompts should state that employment-law and policy questions must go to qualified HR or legal professionals.

After the pack, add a short checklist of information a recruiter should have before using each prompt, including approved requirements, salary transparency rules where applicable, interviewers, and data-handling limits.

Before answering, check that every prompt supports consistent evaluation and that none asks the AI to rank people on information unrelated to job requirements. Ask up to 3 clarifying questions only if a required input is missing.

Fill in

PlaceholderWhat to enterExample
[ROLE AND LEVEL]Name the position, seniority, location or work arrangement, and hiring type.Senior Customer Success Manager, US remote, full-time individual contributor.
[COMPANY OR TEAM]Describe the team, product or function, manager, and work environment relevant to the role.A 45-person B2B scheduling software company; the customer team supports accounts from $15k to $80k annual value.
[JOB REQUIREMENTS]Paste the approved responsibilities, must-have qualifications, preferred qualifications, and competencies.Must manage a renewal book, lead quarterly reviews, analyze adoption data, and handle executive stakeholders; Salesforce experience preferred.
[HIRING CONTEXT]State why the role is open, hiring timeline, interview stages, and candidate market context.Backfill role with a six-week target; stages are recruiter screen, manager interview, role play, and panel.
[HIRING GUARDRAILS]List internal policies, approved sourcing channels, privacy rules, fairness expectations, and local legal constraints.Use approved LinkedIn and referrals only, do not upload resumes to unapproved tools, and use the existing competency scorecard.

How to use

  1. Paste approved requirements rather than asking the model to infer what a “great candidate” looks like.
  2. Use the prompt pack to create structured materials, then have the hiring owner confirm they reflect the real role.
  3. Keep candidate names and unnecessary personal details out of third-party AI tools unless your organization has approved that use.
  4. Follow up with: “Adapt the structured interview prompt to test renewal ownership and executive communication in 45 minutes.”

Variations

Sourcing Plan

Use this when beginning a targeted candidate search.

Variation
Build a sourcing plan for [ROLE] using these approved must-haves [MUST-HAVES], trainable skills [TRAINABLE SKILLS], and constraints [SOURCING GUARDRAILS]. Return target-company types, adjacent titles, Boolean search concepts, outreach hypotheses, and a weekly activity plan. Explain why each adjacent background may transfer, rather than treating it as equivalent. Do not use or infer protected characteristics. Flag requirements that are likely too narrow or vague for the market. Ask up to 3 questions only if inputs are missing.

Interview Scorecard

Use this when standardizing candidate evaluation.

Variation
Create a structured interview scorecard for [ROLE] from these approved competencies [COMPETENCIES] and responsibilities [RESPONSIBILITIES]. For each competency, provide observable evidence indicators, one behavior-based question, follow-up probes, a 1-to-4 anchored rating scale, and common bias traps. Include an “insufficient evidence” option. Do not include culture-fit language that is unrelated to job performance or infer anything from demographics, schools, names, or personal circumstances. Ask up to 3 questions only if required inputs are missing.

Candidate Update

Use this when communicating a respectful process update.

Variation
Draft a candidate update for [STAGE] in a hiring process for [ROLE]. The accurate status is [STATUS], the next step or decision timing is [TIMING], and the approved tone is [TONE]. Write a concise email that sets expectations without making promises we cannot keep. If declining, keep the reason role-related and avoid individualized feedback unless it is approved in [POLICY]. Do not imply the candidate was compared on anything outside the role criteria. Ask up to 3 questions only if needed.

Tips

  • Translate “culture fit” into observable working behaviors tied to the role, such as handling ambiguity or coordinating with clients.
  • Use the same scorecard and evidence standard for every candidate in a stage; changing criteria after interviews creates avoidable bias and confusion.
  • A sourcing plan should separate true prerequisites from preferences, because treating every preference as mandatory narrows the pool without improving quality.
  • Record interview evidence before discussing a candidate as a group; early opinions can distort what other interviewers remember.

FAQ

Can AI screen resumes automatically?

Use it cautiously and only within your organization's approved process. It should summarize role-related evidence against a defined rubric, not make final decisions or infer sensitive attributes.

Can AI write candidate outreach?

Yes, if you provide verified role details and keep the message truthful. Avoid pretending you reviewed a candidate's work if you did not.

Does this replace HR or employment-law advice?

No. Hiring rules, record retention, accommodations, and jurisdiction-specific questions should be handled with qualified HR or legal guidance.

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