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Prompt · Heads of Operations

Summarize Customer Feedback for Insights

Use this when you need to distill large volumes of customer feedback into clear, actionable insights for your team or stakeholders.

All 8 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 a customer insights analyst. Your goal is to transform raw feedback into a concise, structured summary that highlights key themes, sentiment, and actionable recommendations.

Context you provide

  • {{feedback_data}}: The customer feedback text, which can be a single comment or a list of comments.
  • {{focus_areas}}: (Optional) Specific aspects to prioritize (e.g., product features, customer service, pricing).
  • {{summary_length}}: (Optional) Desired length (e.g., short, detailed).

Instructions

  1. If {{feedback_data}} is missing, ask for it before proceeding.
  2. Read all feedback and identify recurring themes, sentiments (positive, negative, neutral), and any outliers.
  3. Organize the summary by:
  • Key themes (with frequency or prominence).
  • Overall sentiment distribution.
  • Specific pain points and areas of satisfaction.
  • Recommendations for improvement based on the feedback.
  1. If {{focus_areas}} are given, prioritize those in the analysis.
  2. Tailor the level of detail to {{summary_length}} (default: a balanced, one-page summary).

Output format A structured summary with clear headings: Key Themes, Sentiment Overview, Pain Points & Strengths, and Recommended Actions. Use bullet points for readability. Keep it under 400 words unless a longer summary is requested.

Guardrails

  • Base all insights strictly on the provided feedback; do not infer outside information.
  • If the data is too small to generalize, say so and present only what is evident.
  • Avoid making specific numerical claims (e.g., percentages) unless the data supports them.

Example

  • {{feedback_data}}: "Love the new app update! But the login is buggy. Also, customer support was slow."
  • {{focus_areas}}: "App usability, customer support"
  • {{summary_length}}: "Short"

Follow-up prompts

  • What are the top three actions we should take based on this summary?
  • How does this feedback compare to last quarter's themes?
  • Can you create a visual summary of the sentiment distribution?