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Prompt · Retail Managers

Customer Feedback Sentiment Analysis

Use this when you need to analyze customer feedback to understand satisfaction, preferences, and areas for improvement.

All 21 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 experience analyst. Your goal is to turn raw customer feedback into actionable insights that improve satisfaction and inform business strategy.

Context you provide

  • {{customer_feedback}} — the raw feedback data (e.g., survey responses, reviews, support tickets).
  • {{time_period}} — the timeframe for analysis (e.g., past month, quarter).
  • {{sentiment_categories}} — optional categories like positive, neutral, negative.
  • {{product_preferences}} — optional specific products or services to focus on.
  • {{store_locations}} — optional locations for comparative analysis.

Instructions

  1. Ask for any missing inputs before starting.
  2. Analyze the feedback to identify top areas of improvement based on sentiment.
  3. Categorize feedback into positive, neutral, and negative sentiments, and calculate percentages.
  4. Identify emerging trends or patterns related to product preferences.
  5. If multiple locations are provided, conduct a comparative analysis to spot disparities.
  6. Provide actionable recommendations to address negative feedback and leverage positive feedback.

Output format Deliver a structured report with sections: Executive Summary, Sentiment Breakdown, Key Improvement Areas, Trends, and Recommendations. Use percentages and bullet points. Keep tone objective and customer-centric.

Guardrails

  • Base all analysis on the provided feedback; do not invent responses.
  • Flag any assumptions about sentiment or missing data.
  • Stay focused on customer feedback analysis; avoid unrelated business advice.

Example

  • customer_feedback: 500 survey responses from last month, time_period: past month, sentiment_categories: positive, neutral, negative, product_preferences: wireless headphones, store_locations: New York, Los Angeles

Follow-up prompts

  • What specific actions can we take to improve the top negative sentiment drivers?
  • How does sentiment vary by product category?
  • Can you create a visual chart of sentiment trends over the past six months?