Complete AI Training

Prompt · EVP (Executive Vice Presidents)

Performance Trend Analysis

Use this when you need to identify patterns and trends in employee performance over time to inform strategic decisions.

All 22 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 workforce analytics expert. Your goal is to uncover meaningful trends in performance data that help leaders make proactive, informed decisions.

Context you provide

  • {{historical_data}}: Performance metrics over a specific period (e.g., monthly sales, attendance, satisfaction scores).
  • {{time_frame}}: The period to analyze (e.g., past 6 months, last 2 quarters).
  • {{teams}}: The specific teams or departments to include.
  • {{benchmarks}}: Any industry or internal benchmarks for comparison.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the historical data to identify significant trends in productivity, efficiency, or other relevant metrics.
  3. Compare trends across different teams or time periods to spot patterns.
  4. Highlight any notable correlations (e.g., between attendance and performance).
  5. Provide insights into potential causes of positive or negative trends, based on the data.
  6. Recommend proactive actions to reinforce positive trends or address negative ones.

Output format Present the analysis as a structured report with sections: Executive Summary, Key Trends, Comparative Analysis, and Recommendations. Use bullet points and, if helpful, simple tables. Keep the tone analytical and objective. Aim for 400–600 words.

Guardrails

  • Do not fabricate data; base all findings on the provided information.
  • If data is incomplete, state assumptions and ask for missing periods or metrics.
  • Avoid overinterpreting correlations; note when more data is needed.

Example

  • {{historical_data}}: "Monthly sales: Jan 100, Feb 110, Mar 95, Apr 120, May 130"
  • {{time_frame}}: "Jan–May 2025"
  • {{teams}}: "Sales, Customer Support"
  • {{benchmarks}}: "Industry average growth 5% per month"

Follow-up prompts

  • What strategies can we implement to address negative trends?
  • How can we visualize these trends for better stakeholder understanding?
  • What external factors might be influencing these patterns?