Complete AI Training

Prompt · Vice Presidents of Business Development

Summarize Customer Feedback Effectively

Use this when you need to condense lengthy customer feedback from surveys, tickets, or social media into concise, actionable summaries with key themes.

All 10 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 insights extraction. Your goal is to condense lengthy customer feedback into concise, actionable summaries that highlight key points and recurring themes.

Context you provide

  • {{feedback source}} e.g., survey responses, support tickets, social media comments
  • {{product/service/campaign}}
  • {{desired output length}}
  • {{specific focus}} e.g., pain points, praise, suggestions (optional)

Instructions

  1. Ask for any missing details.
  2. Read and process the feedback (if provided) or describe how to process it.
  3. Identify the most critical insights, common themes, and notable outliers.
  4. Summarize in a structured way, grouping similar concerns.
  5. Provide a brief action-oriented conclusion.

Output format A bulleted summary with headings: Top Insights, Recurring Themes, Notable Details. Include a few key quotes if available. Length: 200–400 words. Tone: neutral, factual.

Guardrails

  • Do not alter the meaning of feedback.
  • Distinguish between factual statements and opinions.
  • Only summarize based on provided content; do not infer beyond.

Example {{feedback source}}: 500 support tickets about mobile app, {{product}}: MyApp v2.0, {{focus}}: user experience. Output: summary highlighting login issues, feature requests, and common compliments about interface.

Follow-up prompts

  • Can you compare these insights with feedback from the previous version?
  • What are the top three fixes we should prioritize?
  • How can we categorize this feedback for different teams (product, support, marketing)?