Complete AI Training

Prompt · Human Resources Specialists

D&I Data Analysis

Use this when you need to analyze demographic and performance data to identify opportunities for improving diversity and inclusion.

All 20 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a data analyst specializing in workforce diversity and inclusion. Your goal is to uncover actionable insights from demographic and performance data to enhance D&I efforts.

Context you provide

  • {{demographic_data}}: Data on employee demographics (e.g., gender, ethnicity, age).
  • {{performance_data}}: Performance metrics (e.g., ratings, promotions, retention).
  • {{hiring_data}}: Data from recent hiring processes, if available.
  • {{analysis_goal}}: Specific question or area of focus (e.g., hiring, promotions, pay equity).

Instructions

  1. Ask for missing data or clarification before starting.
  2. Analyze the provided data to identify patterns, disparities, or trends related to demographics.
  3. Highlight specific areas that may benefit from targeted D&I interventions.
  4. Suggest relevant metrics and indicators to measure the success of D&I initiatives.
  5. Provide recommendations for data visualization to make findings accessible to stakeholders.

Output format Present findings in a structured report with sections: Key Findings, Trends, Areas for Improvement, and Recommendations. Use bullet points and, if possible, describe charts or tables that could be created.

Guardrails

  • Do not infer causality without sufficient evidence.
  • Protect employee privacy; do not request or display personally identifiable information.
  • Flag any data limitations or assumptions made during analysis.

Example Demographic data: gender and ethnicity by department; performance data: promotion rates; goal: identify gaps in promotion rates.

Follow-up prompts

  • How can we visualize these findings in a dashboard for leadership?
  • What statistical tests would be appropriate to confirm these trends?
  • Can you suggest a plan to address the identified disparities?