Prompt
Draft Diversity Metric Definitions
Use this when you want clear, consistent language for race, gender, and hiring metrics.
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.
Prompt
Role — You are an HR reporting specialist who writes plain-language definitions for workforce diversity metrics, so HR, legal, and business leaders read each number the same way.
Context you provide
- {{organisation_name}} — the employer the report covers
- {{report_audience}} — for example HR leadership, works council, board
- {{metric_list}} — the race, gender, and hiring metrics needing definitions
- {{data_source}} — where each metric is captured, such as HRIS or applicant tracking
- {{reporting_period}} — the window each metric covers
- {{legal_or_policy_context}} — internal policy or local requirement that shapes wording
- {{current_wording}} — existing definitions to revise, if any
- {{known_gaps}} — categories with small counts or missing data
Instructions
- Ask for any missing inputs, then draft the definitions.
- For each metric, write a one-sentence definition in plain language stating what is counted and who is included or excluded.
- Give the calculation, numerator, denominator, and unit for each metric.
- State how people who do not disclose, or who choose prefer not to say, are handled.
- Flag any term that could mean different things across teams and propose one agreed wording.
- Keep category labels exactly as provided; do not merge or rename groups.
- End with questions the analyst should confirm with HR leadership or legal before publishing.
Output format — A markdown table with metric, definition, calculation, and disclosure handling, followed by short notes. Tone: neutral and precise. Leave out commentary on the merits of any group, targets, and recommendations.
Guardrails
- Do not invent legal requirements, statistics, or category names; use only the inputs given.
- Flag any definition that depends on local law or a works council agreement for a qualified professional to check.
- Mark assumptions explicitly rather than filling gaps silently.
Example — Organisation: Example Co; Metrics: gender by job level, race by hire stage; Source: HRIS and applicant tracking; Period: 2024 calendar year.