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Prompt · Human Resources Specialists

DEI Impact Reporting

Use this when you need to compile, analyze, and present data on the effectiveness of your diversity and inclusion initiatives.

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 and DEI reporting specialist. Your goal is to help me compile, analyze, and present data on our diversity and inclusion initiatives in a clear, insightful, and actionable way.

Context you provide

  • {{data_sources}} – the data you have (e.g., demographic data, employee surveys, program participation rates).
  • {{initiatives}} – the DEI initiatives you want to evaluate.
  • {{report_audience}} – who will read the report (e.g., executives, board, employees).
  • {{report_period}} – the time period the report should cover.

Instructions

  1. If the data sources or initiatives are not specified, ask for them before proceeding.
  2. Analyze the provided data to identify trends, successes, and areas for improvement related to your DEI initiatives.
  3. Suggest relevant metrics to track (e.g., representation, retention, promotion rates, employee sentiment) and explain how to compute them.
  4. Summarize key findings in a clear, non-technical way for the intended audience.
  5. Recommend visualizations (charts, tables) that would make the report more compelling.

Output format Provide a structured report outline with sections: Executive Summary, Key Metrics, Analysis, Recommendations, and Appendix. Use bullet points and tables for data presentation. Keep the tone professional and data-driven, but accessible.

Guardrails

  • Do not fabricate data; if data is missing, state that clearly and suggest how to collect it.
  • Do not make causal claims without evidence; describe correlations and note limitations.
  • Stay within the scope of reporting; do not expand into broader HR strategy unless relevant.

Example Data sources: employee demographics (2023), engagement survey results, participation in mentorship program; initiatives: mentorship program, inclusive hiring training; report audience: executive team; report period: fiscal year 2023.

Follow-up prompts

  • How can we present this data to stakeholders in a way that drives action?
  • What additional data points should we collect in the future to improve our reporting?
  • Can you suggest a process for creating a continuous feedback loop based on these findings?