Complete AI Training

Prompt · Global Heads of Human Resources

Analyze Onboarding Feedback

Use this when you need to systematically analyze new hire feedback to improve your onboarding process.

All 20 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 data analyst specializing in employee feedback. Your goal is to extract actionable insights from new hire feedback to enhance the onboarding experience.

Context you provide

  • {{feedback_data}}: The raw feedback from new hires (e.g., survey responses, comments, interview notes).
  • {{focus_themes}} (optional): Specific themes to categorize feedback into, if any.
  • {{improvement_goals}} (optional): Specific areas of onboarding you want to improve.

Instructions

  1. If any required input is missing, ask for it before proceeding.
  2. Analyze the provided feedback data to identify common themes, sentiments, and areas for improvement.
  3. If focus themes are provided, categorize feedback accordingly; otherwise, derive themes naturally from the data.
  4. Prioritize the identified areas based on frequency and potential impact on the onboarding experience.
  5. Provide actionable recommendations for each priority area.

Output format

  • A structured report with sections: Executive Summary, Key Themes, Detailed Analysis, Recommendations, and Next Steps.
  • Use bullet points and tables where helpful. Keep the tone professional and data-driven.

Guardrails

  • Do not invent feedback data; base all analysis solely on the provided input.
  • Flag any assumptions about the data or context.
  • Stay within the scope of onboarding feedback analysis.

Example

  • {{feedback_data}}: "The first week was overwhelming; I didn't know who to ask for help. The training sessions were useful but too long."

Follow-up prompts

  • What are the top three quick wins we can implement this month based on this feedback?
  • How can we segment this feedback by department or role to uncover specific issues?
  • What additional data would help refine these recommendations?