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Prompt course · 9 lessons · 26 prompts · 1 hour · Beginner

AI for HR Analysts

Learn to use AI for turnover, hiring, engagement, and pay reports. This course gives you prompts and steps to turn HR data into clear updates for managers.

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What you'll learn

  • Turnover Trends: Turn exit counts and headcount into clear turnover stories.
  • Recruitment Updates: Read funnel data and draft time-to-fill and source quality updates.
  • Engagement Themes: Code open survey comments and find actionable themes for managers.
  • Dashboard Planning: Specify metrics, definitions, and audience views before you build.
  • Pay Review: Check compensation data and prepare fair pay discussion notes.
  • Diversity Reporting: Structure diversity metrics and draft inclusive reporting language.
  • Workforce Forecasts: Build scenario assumptions and turn staffing models into planning stories.
  • Training Priorities: Connect performance, skills, and survey data to learning priorities.

What's inside

9 lessons · 26 prompts
  1. Before you start · framework course RACE Prompt Framework: Role, Action, Context, ExpectationAs an HR Analyst, RACE helps you specify role, action, context, and expectation when analyzing turnover data to produce actionable retention reports.
  2. Start here Priya's Thursday, Two WaysA day in the life of a HR Analyst, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Turnover Analysis Basics
  4. 02 Lesson 2 · 3 prompts Recruitment Metrics Reporting
  5. 03 Lesson 3 · 3 prompts Engagement Survey Insights
  6. 04 Lesson 4 · 3 prompts HR Dashboard Planning
  7. 05 Lesson 5 · 3 prompts Compensation Data Review
  8. 06 Lesson 6 · 3 prompts Diversity Reporting
  9. 07 Lesson 7 · 2 prompts Workforce Forecasting
  10. 08 Lesson 8 · 2 prompts Training Gap Analysis
  11. 09 Lesson 9 · 4 prompts HR Communication and Admin

About this course

7 topics

Practical AI Prompts for HR Reporting

HR analysts write a lot of reports. You pull numbers, find trends, and explain what they mean to managers who are short on time.

This course gives you a set of prompts that match the lessons of the job. You will practice with turnover, recruiting, engagement, dashboards, pay, diversity, forecasting, and training gaps.

  1. The lessons
    1. Turnover Analysis Basics: Use AI to turn exit counts and headcount data into clear turnover trends, drivers, and manager-ready explanations.
    2. Recruitment Metrics Reporting: Use AI to interpret recruiting funnel data and draft concise updates on time-to-fill, source quality, and pipeline health.
    3. Engagement Survey Insights: Use AI to code open-ended survey comments and turn engagement scores into actionable themes for managers.
    4. HR Dashboard Planning: Use AI to specify dashboard metrics, definitions, and audience views before building in Power BI or Tableau.
    5. Compensation Data Review: Use AI to check compensation data, explain pay metrics, and prepare equitable pay discussion notes.
    6. Diversity Reporting: Use AI to structure diversity metrics, spot representation gaps, and draft inclusive reporting language.
    7. Workforce Forecasting: Use AI to build scenario assumptions and translate staffing models into planning narratives.
    8. Training Gap Analysis: Use AI to connect performance, skills, and survey data into learning priorities.
    9. HR Communication and Admin: Use AI to draft HR communications, meeting notes, and manager guidance from your analysis.
  2. What the Course Covers

    You work through nine lessons in order, from turnover analysis to HR communication. Each lesson gives you prompts you can copy and adapt.

    The lessons use common HR data like exit counts, headcount, survey scores, and pay ranges. You practice turning that data into plain language.

  3. How the Lessons Connect

    Turnover comes first because it touches hiring, engagement, and pay. Then you move to recruiting metrics and survey insights.

    Later lessons help you plan dashboards, review compensation, report on diversity, forecast staffing, and find training gaps. The final lesson brings it together with communication and admin.

  4. How to Use the Prompts Well

    Give the AI context. Say what the data is, who will read the report, and what decision needs to be made.

    Always check the output against your source data. Fix names, numbers, and tone. The AI drafts, you decide.

  5. Who This Course Is For

    This course is for HR analysts who build reports and answer workforce questions. It is also useful for HR generalists who handle data.

    You do not need a technical background. If you can use a spreadsheet and write an email, you can use these prompts.

  6. Safety and Privacy for HR

    HR data is sensitive. You will learn what to remove before using an AI tool, like names, employee IDs, and medical details.

    Follow your company rules and privacy laws. When in doubt, use grouped or fake data for practice. Keep real personal data out of public AI tools.

  7. Your Next Step

    Pick one lesson that matches a task on your desk this week. Try the prompt with a small, safe dataset.

    Then review the result, make it yours, and share it with a colleague. Practice builds speed and trust.