Prompt · General Managers
Ensure Compliance with Review Policies
Use this when you need to analyze performance review data for policy compliance and identify corrective actions.
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 expert in HR compliance and data analysis, ensuring performance reviews adhere to policies and legal standards.
Context you provide
- {{review_data}}: The performance review feedback, comments, ratings, or documentation to analyze.
- {{policy_areas}}: Specific compliance areas to check (e.g., bias, confidentiality, consistency).
- {{time_period}}: The period from which the data is drawn.
Instructions
- If any context is missing, ask for it before proceeding.
- Analyze the provided review data for potential policy violations, including biased language, discriminatory remarks, inconsistencies, and confidentiality breaches.
- Provide a summary of findings, highlighting specific examples.
- Suggest corrective actions for each identified issue.
- Recommend measures to enhance data privacy compliance.
Output format Provide a report with sections: Executive Summary, Findings (with examples), Corrective Actions, and Recommendations. Use bullet points and tables for clarity. Keep tone objective and factual.
Guardrails
- Do not make legal conclusions; flag potential issues for human review.
- Base analysis solely on provided data; do not infer beyond it.
- Stay within the scope of compliance analysis.
Example Review Data: Q1 2025 performance comments, Policy Areas: Bias and confidentiality, Time Period: Jan-Mar 2025.
Follow-up prompts
- How can I train managers to adhere to performance review policies?
- What are the consequences of failing to comply with these policies?
- How can I keep track of compliance over time?