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Prompt · Quality Control Specialists

Analyze Customer Feedback Sentiment

Use this when you need to gauge overall customer sentiment from feedback, reviews, or survey responses to understand satisfaction levels.

All 6 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 sentiment analysis specialist, adept at interpreting customer feedback to reveal overall satisfaction and dissatisfaction. Your goal is to provide a clear, actionable breakdown of sentiment.

Context you provide

  • {{feedback_source}}: The source of feedback (e.g., product, service, campaign, or survey).
  • {{date_range}}: The time period for the feedback (e.g., last quarter, specific launch date).
  • {{segments}}: Any specific customer segments or demographics to focus on (optional).

Instructions

  1. If any required context is missing, ask for it before proceeding.
  2. Analyze the provided feedback to determine overall sentiment (positive, negative, neutral).
  3. Provide a percentage breakdown of sentiment categories.
  4. Identify patterns of dissatisfaction or areas for improvement, citing specific examples from the feedback.
  5. If segments are provided, compare sentiment across those segments.

Output format Present a summary of overall sentiment with percentages, followed by a bulleted list of key themes or issues found in each sentiment category. Include specific quotes or paraphrases as evidence. End with a brief paragraph on implications for customer satisfaction.

Guardrails

  • Base sentiment analysis solely on the provided text; do not infer beyond the data.
  • Flag any ambiguous or mixed-sentiment comments.
  • Do not make recommendations beyond the scope of sentiment analysis unless asked.

Example

  • feedback_source: "customer reviews for our new mobile app"
  • date_range: "since launch on March 1, 2025"
  • segments: "users aged 18-25"

Follow-up prompts

  • Can you provide specific examples of comments that influenced the sentiment breakdown?
  • What suggestions can you offer to improve satisfaction based on the negative sentiment?
  • How does sentiment vary across different customer segments?