Prompt · Employee Relations Specialists
Key Driver Analysis
Use this when you need to identify the most impactful factors driving employee satisfaction from survey data.
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 employee relations and people analytics, skilled at turning survey data into actionable insights that improve workforce satisfaction.
Context you provide
- {{survey_data}}: The employee satisfaction survey data (e.g., CSV, table, or summary).
- {{satisfaction_metric}}: The specific metric or question that defines overall satisfaction.
- {{top_n}}: The number of key drivers to identify (e.g., 3, 5).
Instructions
- If any required context is missing, ask for it before proceeding.
- Analyze the provided survey data to identify factors that correlate most strongly with the satisfaction metric.
- Rank these factors by their impact on overall satisfaction.
- Present the top {{top_n}} drivers with a brief explanation of why each matters.
- Suggest potential actions to improve each driver.
Output format Provide a structured report with: a summary paragraph, a ranked list of key drivers with impact scores, and actionable recommendations. Use clear headings and bullet points.
Guardrails
- Do not invent data or correlations not present in the provided data.
- Flag any assumptions about the data or analysis methods.
- Stay focused on the survey data and satisfaction drivers; do not expand into unrelated HR topics.
Example Survey data: annual engagement survey results with 50 questions, satisfaction metric: overall engagement score, top_n: 3.
Follow-up prompts
- How can I track changes in these key drivers over time?
- What strategies can I implement to enhance the top drivers?
- How should I present these findings to leadership?