30 AI Prompts for HR & People Teams
Copy-ready prompts that assume you will attach the CV, the policy or the review notes — built to produce fair, structured, on-brand people work, not bland filler.
Each prompt gives the AI an HR persona, tells it what you will attach, and specifies the framework and format so the draft is usable and defensible. These prompts are tool-agnostic and optimised to work across all major AI assistants — Claude, Microsoft Copilot and ChatGPT (and Google Gemini). Replace the [bracketed placeholders] with your own details, and always review AI output before you act on it.
Recruitment and job descriptions
Inclusive, High-Converting Job Description
Talent-acquisition specialist
Role, industry and location details (no file needed, just fill in the brackets)
- Write a one-line hook
- Explain why the role matters
- List the outcomes owned in 12 months, not a task list
- Split must-have vs nice-to-have requirements plus an honest team and pay note
- Gender-neutral language
- No unnecessary degree requirements
- Malaysia context
The full job advert plus a shorter 120-word version for LinkedIn.
See example AI output
Hook: Build the finance stack a fast-growing F&B chain can actually trust. Why it matters: You will own reporting the CEO reads every Monday. 12-month outcomes: Close the books in 3 days, launch a new forecasting model. Must-have: 5+ years FP&A. Nice-to-have: Power BI. Team and pay: Reports to CFO, small 4-person team, RM7,000-9,500. LinkedIn version (120 words): Shorter hook-led summary with a link to apply.
Candidate Sourcing Plan and Boolean Search
Sourcing strategist
Role title, must-have skills, and hiring location (no file needed)
- Rank ten sourcing channels by likely yield
- Write a LinkedIn boolean search string
- Name three niche communities to tap
- Craft one outreach hook for passive candidates
- Realistic for an in-house recruiter
- No paid tools assumed
A ranked channel table plus the ready-to-use boolean string and outreach hook.
See example AI output
Top channels: 1) LinkedIn, 2) JobStreet, 3) Ricebowl developer community, 4) alumni networks, 5) referrals. Boolean: (backend engineer OR software engineer) AND (Node.js OR Python) AND (Malaysia OR KL) -intern Communities: KLDevs Slack, Malaysia Python User Group, Girls in Tech KL Outreach hook: Saw your work on [project], we are solving a similar scaling problem at [company], worth a 15-minute chat?
Job Ad Rewrite for Employer Brand
Employer-brand copywriter
Your current job description draft
- Sharpen the opening hook
- Convert listed duties into outcomes
- Cut clichés and generic phrasing
- Add one specific, honest reason to join
- Keep every factual requirement
- Flag anything that reads as a red flag to candidates
The rewritten advert plus a two-bullet note on what changed and why.
See example AI output
Rewritten hook: Own the checkout experience for 2 million monthly shoppers. Outcomes: Ship 3 major checkout features, cut cart abandonment by 5 percent this year. What changed: - Replaced the fast-paced-environment cliché with the real 2M-shopper scale, more credible to senior candidates - Flagged: original ad listed 15 responsibilities with no seniority signal, may deter senior applicants, recommend trimming to top 6
Defensible Pay-Range Rationale
Compensation analyst (general guidance)
Role, level, location, and any market salary data you have
- List the factors that should set the pay band
- Recommend how to position against market
- Suggest non-cash levers to include
- State assumptions clearly
- Recommend confirming with local benchmark data
- General guidance, not formal advice
A suggested band structure plus a short justification memo.
See example AI output
Suggested band: RM6,500-8,200 for a Senior Analyst in Kuala Lumpur. Factors: internal equity with Analyst II, assumed market scarcity, 12 percent premium for niche SQL and Python skills. Non-cash levers: hybrid work, learning stipend, extra annual leave. Memo: Band set at market median plus 5 percent given a tight talent pool; confirm against current benchmark data before finalising. Assumes a standard 13-month salary structure.
CV Screening Against Scorecard Criteria
Screening assistant
Batch of CVs and the role scorecard
- Screen each CV against the must-have criteria
- Rate fit as high, medium or low with evidence
- Write two probing questions per shortlisted candidate
- Judge only on the criteria provided
- Flag and avoid bias-prone inferences
- Never auto-reject
A ranked shortlist table (Candidate, Fit, Evidence, Questions) plus who to interview first.
See example AI output
Candidate: Tan W.L. Fit: High. Evidence: 6 years SAP FICO, led 2 migrations. Questions: How did you handle stakeholder pushback, what was the rollback plan? Candidate: Nurul A. Fit: Medium. Evidence: 3 years, no migration lead experience. Questions: Have you scoped a migration solo? Interview first: Tan W.L., strongest evidence match, no bias flags found in the notes.
Interviews and screening
Structured Interview Kit with STAR Questions
Interview designer
Role title (no file needed, just specify the role)
- Define five competencies to assess
- Write two STAR behavioural questions per competency
- Build a 1-to-5 rating rubric describing weak, adequate and strong answers
- Questions must be answerable by evidence, not opinion
- Legally safe for Malaysia
A question bank grouped by competency plus the scoring rubric.
See example AI output
Competency: Stakeholder Management Q1: Tell me about a time you managed a difficult stakeholder during a project. Q2: Describe a situation where priorities conflicted between departments. Rubric: 1-2 Weak, vague with no specific outcome. 3 Adequate, clear situation with a modest result. 4-5 Strong, specific conflict, structured resolution, measurable outcome and reflection on what was learned.
Tailored 45-Minute Interview Plan
Hiring-panel facilitator
Candidate's CV and the role scorecard
- Identify specific gaps and claims to probe
- Write three questions customised to the candidate's background
- Flag the one risk to test hardest
- Reference specifics from the CV
- Avoid generic questions
A timed interview run-sheet with the questions and what a good answer proves.
See example AI output
0-5 min: Rapport. 5-20 min: Your CV shows 8 months at Company X before leaving, walk me through that decision. Proves: honesty and self-awareness. 20-35 min: You list led migration, what was your specific role versus the team's? Proves: real ownership versus an inflated title. Biggest risk to test: the short-tenure pattern, probe retention risk directly.
Structured Evaluation from Raw Interview Notes
Assessment analyst
Raw interview notes for the candidate
- List strengths with evidence
- List concerns with evidence
- Rate each competency
- Give a hire, no-hire or hire-with-conditions call
- Separate observation from inference
- Do not over-weight a single moment
A structured scorecard plus a two-sentence recommendation.
See example AI output
Strengths: Strong technical depth, explained caching strategy unprompted; calm under the pressure question. Concerns: Vague on the team-conflict example, deflected twice. Ratings: Technical 4/5, Communication 3/5, Collaboration 2/5. Recommendation: Hire-with-conditions, pair with a strong lead during the first 90 days to monitor collaboration, since one weak data point should not be over-weighted.
Bias Check on Interview Scorecard
Debiasing reviewer
Draft interview scorecard
- Spot language showing affinity or halo effects
- Flag criteria not tied to the job
- Check for inconsistent standards between candidates
- Be specific
- Suggest a neutral rewrite for each flag
A flag list (Issue, Why it is a risk, Suggested rewrite).
See example AI output
Issue: Great culture fit, felt like one of us. Why it is a risk: affinity bias, not job-related. Suggested rewrite: Demonstrated alignment with the team's collaborative working style, evidenced by X. Issue: Not very polished noted for Candidate B, no such note for Candidate A. Why: inconsistent standard. Suggested rewrite: apply the same communication rubric line to every candidate.
Structured Reference-Check Call Script
Reference-check specialist
Role and candidate details, plus the concerns raised at interview
- Frame the call professionally
- Write six questions on real performance and working style
- Add two questions that gently test interview concerns
- Professional and legally cautious tone
- Open questions only
A call script plus a note on what each answer should confirm.
See example AI output
Framing: Thanks for your time, this is a routine reference check for [candidate] for a [role] position. Q1: How would you describe their day-to-day working style? Confirms: self-reported style matches reality. Q2: Can you share an example of how they handled a tight deadline? Concern-test Q: We noticed a short tenure at [company], what led to their move? Confirms: retention risk.
Onboarding
30-60-90 Day Onboarding Plan
Onboarding designer
New hire's role and reporting manager (no file needed)
- Define the outcome for each of the 30, 60 and 90-day phases
- List key milestones per phase
- Identify who the new hire should meet
- Write check-in questions for the manager
- Outcome-led, not task-led
- Realistic ramp for a Malaysian SME
A three-phase plan table plus a manager's check-in guide.
See example AI output
Day 30 outcome: Understands the product and can navigate systems unaided. Milestone: complete first ticket end-to-end. Meet: team lead, QA, product owner. Manager check-in: What's still unclear about our workflow? Day 90 outcome: Owns a small feature independently. Check-in: Where do you feel you're contributing real value now?
First-Week Onboarding Schedule
People-ops specialist
New hire's role (no file needed)
- Schedule IT and system access setup
- Schedule statutory setup for EPF, SOCSO, EIS and tax
- Plan team introductions
- Assign one small task to complete by Friday
- Not overwhelming
- Protect focus time
A day-by-day schedule with owners.
See example AI output
Mon AM: laptop, email, Slack setup with IT. Mon PM: EPF, SOCSO and tax forms with HR. Tue: meet team lead and three teammates, 30 minutes each, no more. Wed: shadow a live client call. Thu: two focus hours to start the small task, updating the FAQ doc. Fri: present the small task to the manager, the first early win.
Plain-Language New-Hire Policy FAQ
Knowledge editor
Dense HR policy document
- List the 12 questions a new joiner actually asks
- Answer each in two to three sentences
- Note where to find more detail
- No legalese
- Keep the meaning accurate
- Flag anything needing the handbook's exact wording
A titled FAQ document.
See example AI output
New Joiner FAQ. Q: How many annual leave days do I get? A: 16 days a year, pro-rated from your start date. Full details in Handbook Section 4.2. Q: Can I work from home? A: Yes, up to two days a week with manager approval. Flag: exact eligibility wording should follow handbook clause 5.1 verbatim before publishing.
Warm New-Hire Welcome Email
Onboarding-experience lead
New hire's start date (no file needed)
- Cover first-day logistics
- List what to bring and the dress code
- Name who will greet them
- Add a friendly line that eases nerves
- Warm, not corporate tone
- Under 200 words
A ready-to-send welcome email.
See example AI output
Subject: Can't wait to have you, [Name]! Hi [Name], we're counting down to [date]! Just bring yourself and your IC, we'll handle the rest. Dress is smart-casual, jeans totally fine. Sarah from the team will meet you at reception at 9am with coffee in hand. Don't worry about knowing everything on day one, nobody does. See you soon! Warmly, [Manager]
Onboarding Buddy Programme Guide
Buddy-programme designer
None, designed generically for the assigned buddy colleague
- Outline what to cover in weeks 1, 2 and 4
- List five proactive questions to ask the new hire
- Define signals onboarding is going well or off track
- Low effort for the buddy
- High signal
A one-page buddy checklist.
See example AI output
Week 1: show them where things are, grab lunch together. Week 2: ask what's still confusing. Week 4: ask if they feel set up to succeed. Ask: how's the workload feeling, any tools still confusing, have you met everyone you need to. Good signal: asking questions unprompted. Off-track signal: going quiet in team chat by week three.
Policies and communication
Clear, Fair HR Policy Draft
HR policy writer
Policy topic, for example flexible work (no file needed)
- State purpose and scope
- Write the rules in plain language
- Define employee and manager responsibilities
- Note exceptions and legal-review points
- Readable by all staff
- Flag every point needing legal review
The policy document plus a highlighted list of items to verify with an adviser.
See example AI output
Flexible Work Policy. Purpose: support work-life balance while meeting business needs. Rules: up to two remote days a week, core hours 10am to 4pm. Manager responsibility: approve requests within three days. Verify with adviser: whether remote days affect EPF and SOCSO reporting, and whether the policy needs to reference the relevant Employment Act provisions.
Clear HR Announcement Rewrite
Internal-comms editor
Rough draft of the HR announcement
- Lead with what is changing and why
- Spell out required employee actions and deadlines
- Pre-empt the top three likely questions
- No ambiguity
- Empathetic tone
The rewritten announcement plus a short FAQ.
See example AI output
Subject: Update to our claims process, action needed by Aug 15. Starting September, all claims move to the new portal to speed up reimbursement. Please register by Aug 15 using your staff email. FAQ: Will old claims still be processed? Yes, if submitted before Aug 15 via the old system. Who do I contact for help? hr@company.com.
Change Announcement and Manager Talking Points
Change-communication specialist
Description of the change being introduced, for example a new leave system
- Explain the rationale for the change
- State the benefit to employees
- Detail exactly what changes
- Prepare honest answers to awkward questions
- Candid, no spin
- Malaysia context
An all-staff announcement plus a separate manager briefing sheet.
See example AI output
All-staff: we're moving to a new leave system from Oct 1 to fix the approval delays you've flagged. Your leave balance carries over automatically. Manager briefing, Q&A: Why now? System complaints tripled this year, be direct about that. Will my team lose unused leave? No, confirm balances migrate one to one, show the report if asked.
One-Page Policy Summary with Compliance Quiz
Document summariser
Long policy document
- Summarise what employees must do
- Summarise what they must not do
- Note who to ask for help
- Write a five-question comprehension quiz
- Accurate to the source
- Plain language
A one-page summary plus a five-question quiz with answers.
See example AI output
Must do: report conflicts of interest within seven days. Must not: accept gifts over RM200 from vendors. Ask: compliance officer, extension 204. Quiz: What's the gift limit? RM200. How many days to report a conflict? Seven days. Who approves exceptions? The compliance officer.
Sensitive Change Messaging for Staff
Sensitive-comms writer
Description of the difficult change, for example a restructure
- Acknowledge the impact honestly
- State the facts and timeline
- Explain the support available
- Avoid corporate euphemism
- Human and factual
- Nothing that overpromises
The written message plus a note on what to say live versus in writing.
See example AI output
We're restructuring the Ops team, effective Sept 1. This means four roles will be redundant. We know this is hard news. Affected staff will get one-to-one meetings this week, plus counselling support and two months' severance. Live session: state the number of affected roles verbally first, don't bury it. In writing: keep to facts and next steps, save the empathy for the conversation.
Performance and development
SBI-Framework Performance Review Draft
Performance-review coach
Manager's raw notes on the employee
- Write two to three strengths using situation-behaviour-impact
- Write two development areas with examples
- Set one clear focus for next quarter
- Specific and evidence-based
- No vague adjectives
- Fair
The written review plus three coaching questions to open the conversation.
See example AI output
Strength: in the Q2 client escalation, you stayed on the call past hours to resolve it, which saved the account. Development: in team standups, updates run long, reducing others' airtime, practice a 60-second format. Focus: lead one cross-team project this quarter. Coaching questions: what felt hardest this quarter, where do you want more stretch, what support do you need from me?
Team Rating Calibration Check
Calibration facilitator
Draft performance ratings for the team
- Spot ratings that look inflated or harsh versus the evidence
- Check for uneven standards between people
- Flag language showing bias
- Reference the evidence
- Suggest a specific adjustment or question per flag
A calibration review table (Person, Draft rating, Concern, Suggested action).
See example AI output
Person: Ahmad. Draft rating: 5/5. Concern: evidence shows solid, not exceptional, work. Suggested action: ask the manager for one more standout example or adjust to 4. Person: Priya. Draft rating: 3/5. Concern: similar evidence to Ahmad's but a lower score. Suggested action: compare notes side by side, the standard looks uneven.
90-Day SMART Development Plan
Development planner
Employee's current strength, growth area, and target next role
- Write three SMART goals
- Assign on-the-job stretch assignments
- Recommend learning resources
- Define how progress is measured
- Follow a 70-20-10 mix
- Realistic time commitment
A development plan table plus a manager support note.
See example AI output
Goal 1: lead one client presentation solo by day 45, measured by manager observation. 70 percent: shadow then lead two client meetings. 20 percent: weekly feedback from a mentor. 10 percent: complete a three-hour presentation-skills course. Manager note: block two hours a week for coaching check-ins, don't let day-to-day work crowd this out.
Underperformance Conversation Script
Difficult-conversation coach
The employee's role and the specific performance issue
- Draft an opening that doesn't demotivate
- Cite the evidence to raise
- Prepare root-cause questions
- Set expectations and close with support and a follow-up date
- Firm and kind tone
- PIP-safe language
A conversation script with branches for a defensive or receptive reaction.
See example AI output
Open: I want to talk about the last two project deadlines, I value your work and want to understand what's going on. Evidence: two missed deadlines, dated. Root-cause question: what's been getting in the way? If defensive: I hear you disagree, help me understand your view of what happened. If receptive: thanks for owning that, let's agree two concrete changes and check in in two weeks.
Employee Survey Theme and Action Analysis
Engagement analyst
Open-ended employee-survey responses
- Cluster responses into themes and quantify frequency
- Surface the top three dissatisfaction drivers
- Surface the top two strengths
- Recommend one action per theme with an owner
- Quote representative comments
- Do not over-generalise from a few voices
A themed findings table plus a three-action plan.
See example AI output
Theme: Workload, 34 percent of mentions, a concern. Quote: constantly firefighting, no time to plan. Theme: Manager support, 12 percent, a strength. Quote: my manager always has my back. Actions: Workload, review headcount against ticket volume, owner Ops Director. Growth, launch internal mobility postings, owner HRBP. Recognition, monthly shoutout ritual, owner team leads.
Employee relations and admin
Neutral Grievance Acknowledgement Response
ER adviser (general guidance)
The employee's grievance details
- Draft an empathetic, neutral acknowledgement
- State the review process and timeline
- Commit to a fair review without pre-judging
- Factual, no admissions
- Malaysia employment context
- Flag where to involve legal
The response to the employee plus an internal note on next steps and evidence to gather.
See example AI output
Response: thank you for raising this, we take it seriously and will review it fairly. We'll meet with you within five working days and update you on next steps. Internal note: gather the email trail, witness list, and any prior similar complaints. Flag to legal given a potential harassment element before any manager response is given.
Disciplinary Conversation Record
Documentation specialist
Raw notes from the disciplinary conversation
- Capture what was discussed
- Record the evidence presented
- Note the employee's response
- List agreed actions and follow-up date
- Neutral language
- Distinguish fact from allegation
- Nothing prejudicial
A structured record suitable for the personnel file.
See example AI output
Date: 12 July 2026. Present: manager, employee, HR. Discussed: three late arrivals in June, dates confirmed per the attendance system. Employee response: cited transport issues, apologised. Agreed action: punctuality to improve immediately, to be reviewed in 30 days. Follow-up date: 12 August 2026.
10-Question Engagement Pulse Survey
Survey designer
None, built generically for the organisation
- Write two questions each for workload, manager support, growth, recognition and belonging
- Apply a consistent five-point scale
- Add one open comment question
- Unbiased wording
- Under three minutes to complete
The survey with its scale plus a note on how to analyse the results.
See example AI output
My workload is manageable, one to five. My manager supports my development, one to five. I feel I belong here, one to five. Open comment: what's one thing we could do better? Analysis note: segment by department and tenure, flag any category averaging below 3.5 for follow-up.
Complete Offboarding Pack
Offboarding specialist
The departing employee's role
- Write a farewell email
- Draft eight exit-interview questions for honest feedback
- Build a knowledge-handover checklist
- Dignified regardless of reason for leaving
The farewell email, exit-interview questions, and handover checklist.
See example AI output
Farewell email: thank you for three great years, you'll be missed. Exit questions: what made you decide to leave, what would have kept you, how would you describe your manager relationship? Handover checklist: transfer client files, document open tickets, revoke system access on the day of exit, brief the successor by the agreed date.
Monthly People Dashboard Summary
HR analyst
Headcount, turnover and leave data
- Summarise headcount movement
- Break down voluntary versus involuntary turnover and the trend
- Flag two risks worth management attention with a suggested action
- Use only the attached data
- State any data gap
A one-page summary highlighting the three numbers that matter most.
See example AI output
Headcount: 142, up 3 this month. Voluntary turnover: 2.8 percent, up from 1.9 percent. Involuntary: 0.7 percent. Top three numbers: 142 headcount, 2.8 percent voluntary turnover, 68 percent average leave utilisation. Risk 1: voluntary turnover rising in Ops, recommend stay interviews. Risk 2: low leave utilisation may signal burnout. Gap: no exit-interview data attached this month.
More prompt packs by function
View the full Prompt LibraryFrequently Asked Questions
Because each one gives the AI a role, tells it what you will attach (the CV, the policy, the review notes), specifies the framework to follow, and defines the output. That produces fair, structured, defensible HR work you can use, rather than a generic paragraph you have to rewrite.
Only to your organisation's approved, enterprise AI where data stays in your tenant. Never paste names, salaries, IC numbers or grievance details into public consumer tools. HR data is sensitive under Malaysia's PDPA — anonymise where you can and follow your data policy.
It can speed up first-pass screening against your criteria, but you must guard against bias and keep a human in the loop for decisions. These prompts deliberately instruct the AI to judge only on the stated criteria, flag bias-prone inferences and never auto-reject.
Copilot is convenient if HR runs on Microsoft 365; Claude and ChatGPT are strong for drafting and structured evaluation over uploaded files. These prompts work across all of them.
Yes. Our AI courses are HRD Corp SBL-KHAS claimable for eligible Malaysian employers, so HR teams can upskill at near-zero net cost.
Yes. Attach performance ratings and potential assessments, anonymised where possible, and ask AI to plot employees onto a 9-box grid of performance versus potential, then suggest development actions for each box, for example stretch assignments for high-potential, high-performance staff, or a structured improvement plan for low performers. AI is strong at organising the data and drafting the narrative, but the actual placement decisions should be calibrated by a panel of managers, not the AI alone, since succession calls carry real career consequences and benefit from multiple human perspectives.
AI is useful for drafting plain-language explainers of EPF, SOCSO and EIS contribution rates, eligibility and claim processes that employees can self-serve, cutting repetitive HR queries. Ask it to turn your current statutory rate table into a simple FAQ or chatbot script. Always verify the rates against the latest KWSP, PERKESO and LHDN publications before publishing, since statutory rates and thresholds change periodically and AI training data can lag official updates. Treat the AI output as a first draft for your team to check, not the authoritative source of truth.
AI can analyse patterns you already track, such as engagement survey scores, tenure, overtime and manager change frequency, to flag employees showing common early warning signs of resignation, and suggest a tailored retention conversation for each. It works best as a triage tool that prompts where a manager should have a genuine check-in, not as a predictive verdict on any individual. Because flight-risk scoring touches sensitive personal inferences, keep the output internal, use it only to prompt supportive conversations, and never let a score alone drive a decision about an employee.
Give the AI the employee's role, the specific ground such as redundancy, poor performance or contract non-renewal, the notice period per the contract or the Employment Act 1955, and any prior documentation such as performance improvement plan records. Ask it to draft a factual, respectful letter stating the reason, effective date, final entitlements and next steps, while flagging any clause that needs legal review. Termination carries high legal risk in Malaysia, so always have the final letter reviewed by an employment lawyer before it is sent, since AI drafts the structure but does not replace legal sign-off.
Yes, attach your anonymised headcount, hiring and promotion data broken down by gender, age band or other tracked categories, and ask AI to calculate representation ratios, flag gaps against your targets, and draft the narrative section of a DEI report. This saves hours of manual data wrangling. Keep the underlying data anonymised or aggregated before it reaches any AI tool, since individual-level demographic data is especially sensitive under PDPA, and have a human review the framing carefully before the report goes to management or a regulator.
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