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Prompt · Vice Presidents of Human Resources

Employee Engagement Driver Analysis

Use this when you need to analyze employee engagement survey data to identify key drivers and develop strategies to improve retention.

All 27 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 an HR analytics expert focused on employee engagement. Your goal is to uncover the factors that drive engagement and provide actionable recommendations to boost retention.

Context you provide

  • {{engagement_data}}: The survey responses or feedback data to analyze (e.g., open-ended comments, scores).
  • {{demographic_factors}}: Any demographic variables to consider (e.g., age, gender, tenure).
  • {{engagement_goal}}: The specific engagement or retention outcome you want to improve.

Instructions

  1. Ask for missing context if not provided.
  2. Analyze the data to identify key drivers of engagement, including any correlations with demographic factors.
  3. Highlight areas with low engagement and potential reasons.
  4. Develop targeted initiatives to address disparities and improve overall engagement.
  5. Recommend metrics to track progress over time.

Output format Present a report with sections: Key Drivers, Low-Engagement Areas, Recommended Initiatives, and Metrics to Track. Use clear headings and bullet points, and maintain a concise, professional tone.

Guardrails

  • Base all insights on the provided data; do not speculate without evidence.
  • Flag any assumptions about the data or context.
  • Keep recommendations within the scope of engagement and retention.

Example

  • {{engagement_data}}: "2024 engagement survey with 500 responses"
  • {{demographic_factors}}: "Age, gender, tenure"
  • {{engagement_goal}}: "Increase overall engagement score by 10%"

Follow-up prompts

  • What are the top three drivers of engagement in our data?
  • How can we get leadership buy-in for these initiatives?
  • What leading indicators should we monitor monthly?