AI for HR & Recruiters
Every case follows the same loop: a worked example, an assignment you complete on realistic sample data, and AI review against the rubric below. Each case takes 30–45 minutes. This is the working syllabus for the founding cohort (early 2027); founding members can suggest changes.
Module 1. Sourcing & Job Design
Rewrite a job description that attracts the right people
The hiring manager's JD is a 2-page wish list; applications are low and off-target.
Your assignment
Rewritten JD (must-haves vs nice-to-haves, outcomes, pay range per local transparency law) and the prompt used.
What the AI reviewer checks
- Must-haves limited and job-related
- Inclusive, bias-checked language (no gendered/age-coded terms)
- Outcomes/first-90-days described
- Complies with pay transparency rules where applicable
- Readable, scannable length
Tools
ChatGPT/Claude, LinkedIn Recruiter AI, Textio-style checks
Boolean search strings and sourcing plan
You need 30 qualified senior data engineers in Austin within 2 weeks.
Your assignment
3 Boolean strings (LinkedIn/Google X-ray), target companies list and sourcing channel plan.
What the AI reviewer checks
- Boolean syntax valid and tested
- Synonyms/titles comprehensive
- Target list relevant and legal (no protected-class targeting)
- Channel plan has volume estimates
- Learner tested results and refined
Tools
ChatGPT/Claude, LinkedIn Recruiter
Personalized outreach sequence
Your InMail response rate is 8%; you need a 3-touch personalized sequence.
Your assignment
3-message sequence for one real (anonymized) profile, plus a template prompt to personalize at scale.
What the AI reviewer checks
- Personalization references specific, relevant details
- Clear value proposition and CTA
- Short (under 120 words per message)
- No misleading claims about role/pay
- Follow-ups add new value, not just 'bumping'
Tools
ChatGPT/Claude, LinkedIn Recruiter AI-assisted messages
Module 2. Screening & Interviewing, Fairly
Structured interview guide and scorecard
Hiring managers 'go with gut'; you need a structured interview kit for a Customer Success Manager role.
Your assignment
Interview guide (6-8 behavioral questions tied to competencies) and a 1-5 anchored scorecard.
What the AI reviewer checks
- Questions map to job-related competencies
- Behavioral anchors for each score
- No illegal/discriminatory questions
- Consistent for all candidates
- Usable in a 45-minute interview
Tools
ChatGPT/Claude
Summarize interview feedback into a hiring recommendation
Four interviewers left messy notes; the hiring committee meets in an hour.
Your assignment
Candidate summary: strengths, concerns, evidence per competency, and recommendation with confidence.
What the AI reviewer checks
- Every claim traced to interviewer evidence
- Disagreements surfaced, not averaged away
- No bias-laden language (culture fit, etc.) without evidence
- Recommendation clear
- Human makes the final decision (AI is support, not decider)
Tools
ChatGPT/Claude, ATS AI features
Module 3. Employee Communication & Policy
Draft a policy update and FAQ
Company is moving to a hybrid 3-days-in-office policy; you need the policy text, manager talking points and an employee FAQ.
Your assignment
Policy section, 10-question FAQ and manager talking points.
What the AI reviewer checks
- Clear, consistent with stated policy facts
- Anticipates real employee concerns
- Legal-review items flagged (not invented legal advice)
- Plain language, empathetic tone
- Managers can deliver talking points in 5 minutes
Tools
ChatGPT/Claude, Copilot in Word
Handle a sensitive employee-relations message
An employee complains about a manager's behavior; you need an acknowledgment and investigation plan.
Your assignment
Acknowledgment email (neutral), investigation plan outline, and a note on what data you kept out of AI.
What the AI reviewer checks
- Neutral, non-committal, respectful tone
- Plan includes steps, timeline, confidentiality, documentation
- No personal identifiable info pasted into non-approved tools
- Escalation/legal points noted
- Learner judgment visible over AI defaults
Tools
ChatGPT/Claude (anonymized), enterprise Copilot
Module 4. People Analytics & Survey Insights
Analyze engagement survey comments
1,200 open-text comments from the engagement survey; leadership wants themes and actions next week.
Your assignment
Theme analysis (top 6 themes with frequency and quotes), sentiment by department, and 3 recommended actions.
What the AI reviewer checks
- Themes are distinct and cover the data
- Counts/estimates are checked on a sample
- Quotes anonymized
- Actions tied to themes and owners
- Small-group anonymity respected
Tools
ChatGPT/Claude (data analysis), Copilot in Excel
Turnover analysis and retention memo
Attrition in sales rose to 28%; the CHRO wants to know why and what to do.
Your assignment
Attrition analysis from HRIS export (by tenure, manager, comp ratio) and a 1-page retention memo.
What the AI reviewer checks
- Attrition calculated correctly
- Segments compared with appropriate caution (small n)
- Exit interview data integrated
- Recommendations cost-aware
- Memo leads with the answer
Tools
ChatGPT/Claude (data analysis), Copilot in Excel
Module 5. Onboarding, L&D and Your AI HR Playbook
30-60-90 onboarding plan and your AI impact brief
New hires take months to ramp; you want a reusable onboarding plan generator - and proof of your own AI impact.
Your assignment
A 30-60-90 plan for one role, a reusable prompt template, and a 1-page personal impact brief (before/after time log).
What the AI reviewer checks
- Plan has clear milestones, owners and check-ins
- Template generalizes to other roles
- Time savings measured, not guessed
- Aligns with company AI/data policy
- Brief makes a concrete career ask
Tools
ChatGPT/Claude/Copilot