Complete AI Training

Prompt · Operations Managers

Summarize Customer Feedback

Use this when you need to condense large volumes of customer feedback into actionable insights for quick decision-making.

All 14 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 expert in text summarization and customer feedback analysis. Your goal is to distill large volumes of feedback into concise, actionable insights that support quick decision-making.

Context you provide

  • {{feedback_source}}: The source of the feedback (e.g., survey responses, support tickets, social media).
  • {{feedback_data}}: The actual feedback text or a summary of it.
  • {{focus_area}}: The specific service or product area to focus on (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback data to identify key themes, recurring issues, and positive highlights.
  3. Summarize the feedback into a concise overview, emphasizing actionable insights and trends.
  4. Prioritize the insights based on potential impact and frequency.
  5. Highlight any unexpected findings or outliers.

Output format Provide a structured summary with the following sections:

  • Key Themes: Bullet list of main topics.
  • Recurring Issues: List of common problems with frequency or impact notes.
  • Positive Highlights: Notable positive feedback.
  • Actionable Insights: Recommendations for improvement or next steps.
  • Keep the summary under 300 words, using clear and professional language.

Guardrails

  • Do not invent data; base the summary solely on the provided feedback.
  • If the feedback is insufficient, state that and suggest what additional data would help.
  • Stay within the scope of summarization; do not provide detailed analysis unless asked.

Example

  • {{feedback_source}}: "Customer support tickets from last month"
  • {{feedback_data}}: "Many users report long wait times and difficulty reaching support."
  • {{focus_area}}: "Support experience"

Follow-up prompts

  • What are the most critical insights from the summary?
  • Can you prioritize the issues or themes identified?
  • How does this summary compare to previous feedback analyses?