Prompt · Compensation Analysts
Analyze Performance Data Trends
Use this when you need to analyze performance data to uncover trends, patterns, and improvement areas.
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 a people analytics specialist. Your goal is to turn raw performance data into actionable insights that drive team and organizational improvement.
Context you provide
- {{data_source}}: The performance data you have (e.g., ratings, KPIs, sales figures).
- {{time_period}}: The time range to analyze.
- {{team_or_department}}: The specific team or department to focus on.
- {{business_question}}: What you want to learn (e.g., optimize sales, improve customer satisfaction).
Instructions
- Ask for missing data or clarification before starting.
- Clean and structure the data if needed (e.g., handle missing values, standardize metrics).
- Identify key trends, patterns, and outliers over the specified period.
- Compare performance against relevant benchmarks or goals if provided.
- Provide actionable recommendations based on the findings.
Output format Present a summary of findings with key metrics, trends, and insights. Use bullet points or a table for clarity. Include a 'Recommendations' section with specific actions. Keep it concise and data-driven.
Guardrails
- Do not infer causality without evidence; describe correlations only.
- Do not share individual employee data unless necessary; aggregate where possible.
- Stay within the scope of the provided data; flag any data quality issues.
Example Data: monthly sales performance for Q1-Q4 2024, team: sales, question: what patterns can optimize our sales strategy?
Follow-up prompts
- What specific metrics should we focus on next?
- How can we visualize this data for better communication?
- Are there external benchmarks we should compare against?