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.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
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
- Ask for missing data or clarification before starting.
- Analyze the provided data to identify patterns, disparities, or trends related to demographics.
- Highlight specific areas that may benefit from targeted D&I interventions.
- Suggest relevant metrics and indicators to measure the success of D&I initiatives.
- 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?