AI in HRCheat Sheet Collection
Essential tools, prompt ideas, strategy tips, and responsible AI guidance for everyday HR work.
What is inside
- AI in HR overview and use cases
- Top tools across the HR life cycle
- Prompt guides for ChatGPT, Excel, analytics, and recruiting
- Learning, talent, and AI risk guidance
Table of Contents
A simplified, tighter version of the original collection for easy reading and publishing.
AI in HR: Your Ultimate Guide
Why AI matters in HR, where it helps most, and how teams can prepare well.
Top AI Tools for HR Professionals
A quick view of practical tools by function and how HR teams can use them.
HiredScore
Talent acquisitionFinds strong candidates faster by screening resumes and surfacing fit signals.
Fetcher
Talent acquisitionAutomates candidate sourcing and outreach to speed up hiring.
Talmundo
OnboardingPersonalizes onboarding with workflows, content, and analytics.
Coursebox
OnboardingHelps build and deliver learning content for new hires.
Effy AI
PerformanceSimplifies reviews and 360-degree feedback.
Peoplebox
PerformanceConnects goals, performance, and team alignment.
Lingio
LearningCreates mobile-friendly, engaging learning experiences.
SC Training
LearningSupports interactive and personalized training delivery.
Dextego
CoachingImproves coaching, interpersonal skills, and manager support.
inFeedo
EngagementCollects employee feedback and predicts attrition risk.
Witty
Inclusive languageDetects biased language and promotes clearer communication.
Visier
Talent analyticsTurns workforce data into insight on turnover, engagement, and productivity.
SeekOut
Talent analyticsMaps talent supply, skills gaps, and diversity insights.
Eightfold.ai
Career growthMatches people to internal roles, projects, and mentors.
Gloat
Career growthSupports internal mobility based on skills and aspirations.
ChatGPT / Maestra / ClickUp AI
General productivityDraft content, summarize meetings, transcribe sessions, and support reporting.
AI Strategy for HR
A simple structure for vision, value, and impact.
Vision
Use AI to improve HR efficiency, decision-making, and employee experience.
Value
Impact
ChatGPT for HR Cheat Sheet
Use better prompts, apply the right tone, and protect privacy.
Create a hiring plan for a new HR team of 5 in a U.S.-based startup with a $200,000 budget. Use bullet points and include suggested salaries by role.
ChatGPT for Excel
Quick prompts and formulas HR teams can use for everyday data work.
Count hired candidates
Candidate status is in column D. Count how many are marked Hired.
=COUNTIF(D:D,"Hired")Combine first and last name
First name is in B and last name in C. Create full name.
=B2 & " " & C2Check for missing values
Return Missing if F2 is empty, otherwise OK.
=IF(ISBLANK(F2),"Missing","OK")Calculate years of service
Start date is in B2.
=DATEDIF(B2,TODAY(),"y")Handle divide-by-zero
=IFERROR(A2/B2,0)Average salary for HR only
=AVERAGEIFS(E:E,D:D,"HR")Rank performance scores
=RANK.EQ(G2,G:G,0)Look up department by ID
=XLOOKUP(A2,A:A,D:D)Filter employees by salary and tenure
=FILTER(A2:E100,(E2:E100>70000)*(DATEDIF(B2:B100,TODAY(),"y")>5))Sum visible filtered values
=SUBTOTAL(9,E2:E100)ChatGPT for People Analytics
Use ChatGPT to explore data faster, but always combine insights with human review.
9 Useful HR analytics tasks
- Exploratory analysis and visualization
- Data summarization
- Survey question design
- Feedback analysis
- Hypothesis generation
- Sample data creation
- Collaboration analytics
- Sentiment analysis
- Excel formula generation
Best practices
- Use detailed prompts and context.
- Double-check output against the data.
- Keep up with new ChatGPT features.
- Anonymize personal and sensitive information.
- Use document upload or charts when helpful.
What to remember
- AI observations are not absolute truth.
- Do not use AI alone for major decisions.
- Protect privacy, legality, and confidentiality.
- Use HR judgment and business context.
Do
- Give context and ask specific questions.
- Try follow-up prompts to refine insight.
- Fact-check findings before sharing.
- Follow privacy and data-use rules.
Don’t
- Paste confidential employee data into prompts.
- Treat AI interpretations as final truth.
- Replace human judgment in complex people decisions.
- Ignore bias or legal risk.
ChatGPT Prompts for Recruiting
Five practical prompt ideas for attracting, screening, and supporting candidates.
1. Job ad creation
Write an inclusive, compelling ad for a Senior Web Developer at a fast-growing ecommerce startup. Include headline, overview, responsibilities, skills, and perks.
2. Boolean search string
Create a search string for Software Engineers with Java, SQL, REST APIs, Agile experience, a Computer Science degree, and 5+ years’ experience. Exclude Python-only candidates and candidates outside the U.S.
3. Alternative titles for sourcing
Generate related job titles for a Social Media Manager role covering strategy, content, engagement, and analytics.
4. Pre-interview briefing email
Draft a supportive email explaining interview stages, focus areas, timing, and logistics for a Senior Data Analyst candidate.
5. Salary negotiation response
Write a professional and empathetic response to a candidate asking for a higher salary, while explaining the wider value of the package and openness to further discussion.
Tip
Ask for inclusive language, supportive tone, and role-specific detail to improve recruiting outputs.
AI in Learning & Development
How AI is reshaping employee learning, and how HR can adopt it responsibly.
Current state
AI is improving learning systems, learning experience platforms, and learning analytics. It is helping teams deliver learning faster and more personally.
Benefits
AI can increase accessibility, personalize learning paths, provide real-time coaching, and speed up content creation.
Challenges
Teams still need to manage technical limits, integration issues, bias, intellectual property, and content quality.
AI in Talent Management
Three business cases where AI can support performance, planning, and innovation.
Business Case 1: Drive productivity and performance
Recruitment analytics
Identify stronger-fit candidates faster and improve quality of hire.
Personalized learning
Create learning paths linked to skills, aspirations, and performance.
Performance management
Set goals, track progress, and support feedback with data.
Sentiment insight
Monitor engagement using survey and communication signals.
Business Case 2: Reduce turnover and talent gaps
Predictive turnover
Use engagement, performance, tenure, and market signals to flag risk.
Scenario planning
Forecast future talent needs against internal capability and market shifts.
Career mobility
Recommend internal roles and career paths using talent data.
Employee listening
Track satisfaction through surveys and passive data.
Business Case 3: Build a culture of innovation
Diversity monitoring
Spot patterns of bias in hiring, promotion, and collaboration.
Knowledge sharing
Connect people and ideas across the organization.
Idea generation
Analyze large data sets to identify trends and suggest new solutions.
Innovation metrics
Measure what is working so innovation efforts stay focused.
AI Risk Framework for HR
Four connected areas HR teams should manage when adopting AI.
External environment
- Reputational risk
- Legislative risk
- Transparency and explainability
Internal environment
- Ethical considerations
- Privacy and confidentiality
- Bias and fairness
Data governance
- Manage data responsibly
- Meet legal requirements
- Reflect ethical decisions about data use
Individual behavior
Employees need clear guidelines, regular training, and practical examples of responsible AI use.
Practice, process, systems
Organizations should monitor workflows and vendors to ensure AI tools align with policy and standards.
Policy and philosophy
A formal AI policy should guide adoption, governance, accountability, and decision-making.
Enrol Now
HR needs AI skills, not just tools. Build confidence in how to use AI responsibly and effectively in everyday HR work.
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