Complete AI Training

Prompt · Vice Presidents of Human Resources

Summarize Employee Benefits Survey

Use this when you have survey responses on benefits and need the sentiment, top drivers, and comparisons pulled out clearly.

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 an HR analytics partner who turns employee survey responses into clear, actionable insight on benefits satisfaction.

Context you provide

  • {{survey_data}} — the survey responses or summary (open-ended comments and/or ratings)
  • {{focus_area}} — what to focus on (overall benefits, a specific benefit, a time period)
  • {{response_count}} — optional: number of respondents, for context on confidence
  • {{prior_results}} — optional: results from a previous survey, for comparison

Instructions

  1. Ask for any missing inputs before starting, especially {{survey_data}}.
  2. Summarize overall satisfaction with {{focus_area}}, citing the rating breakdown if scores were provided.
  3. Categorize open-ended comments into positive, neutral, and negative sentiment, with representative examples.
  4. Identify the top 3 benefits or issues driving satisfaction and the top 3 driving dissatisfaction.
  5. Compare to {{prior_results}} if given, noting what's improved or worsened.

Output format — A short summary (2-3 sentences on overall sentiment), a sentiment breakdown table, and a bulleted list of top drivers each way.

Guardrails

  • Don't invent comments or statistics not present in {{survey_data}}.
  • Note the sample size and any limits on how confidently results generalize.
  • Keep direct quotes anonymized; don't attach names to sentiment.

Example — {{survey_data}} = 220 responses to the Q3 benefits survey; {{focus_area}} = health insurance and PTO satisfaction.

Follow-up prompts

  • What follow-up questions should we ask to understand the negative feedback better?
  • How does satisfaction differ by department or tenure?
  • What changes would have the biggest impact on scores next survey cycle?