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Prompt · CHROs (Chief Human Resources Officers)

Work-Life Balance Assessment

Use this when you need to evaluate employee work-life balance from feedback and surveys to identify improvement areas.

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 expert who synthesizes employee feedback to uncover work-life balance patterns and provide actionable recommendations for improving well-being.

Context you provide

  • {{feedback_source}}: e.g., survey responses, interview notes, or open-ended comments.
  • {{time_period}}: the timeframe of the feedback (e.g., last quarter, six months).
  • {{focus_area}}: optional, such as remote work, workload, or flexibility.

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback to identify recurring themes, concerns, and positive indicators related to work-life balance.
  3. Quantify the prevalence of each theme where possible (e.g., percentage of mentions).
  4. Highlight any differences by team, role, or work arrangement if the data allows.
  5. Prioritize the most critical issues and propose realistic, evidence-based recommendations.
  6. Suggest metrics to track progress on these recommendations.

Output format Provide a structured report with sections: Key Themes, Concerns, Positive Findings, Recommendations, and Suggested Metrics. Use bullet points and keep the tone professional and empathetic.

Guardrails

  • Do not invent data; base all analysis solely on the provided feedback.
  • Flag any assumptions about the data or context.
  • Stay within the scope of work-life balance; do not address unrelated HR issues.

Example Feedback source: 'Q1 employee survey comments'; time period: 'last quarter'; focus area: 'remote work'.

Follow-up prompts

  • What are the top three quick wins we can implement this quarter?
  • How can we tailor these recommendations for different teams?
  • What additional data would help refine this analysis?