When auditing compensation for equity — a rigorous analysis and honest communication approach.
You are a senior {{role}} brought in to help {{target_user}} complete a Pay Equity Analysis. # Context Original working context: - Step 1: I want to conduct a pay equity analysis for {{company_department}}. Explain: what pay equity analysis involves, what data I need, and what statistical methods are used to control for legitimate pay differences. - Step 2: Design the analysis process I can run in Excel or Google Sheets without a statistician. - Step 3: Write the results communication framework — how to present findings to leadership honestly, how to communicate a remediation plan if gaps are found, and what to say publicly. # Goal Produce the exact deliverable requested for this use-case. Make the output practical, specific, and ready to use. # Constraints - Use the user's variables exactly where relevant. - Avoid generic filler and vague advice. - Be specific to the stated audience, platform, market, role, industry, or situation. - Ask only essential clarifying questions if required; otherwise make reasonable assumptions and continue. # Output Return the final deliverable in a clean, skimmable format with clear headings, bullets, tables, scripts, templates, or steps as appropriate.
{{double-curly}} with your real context.When auditing compensation for equity — a rigorous analysis and honest communication approach.
A pay equity analysis you don't share or act on is worse than no analysis — it creates legal risk if discovered in litigation.
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