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Prompt · Customer Support Representatives

Customer Feedback Analysis

Use this when you need to analyze customer feedback during a crisis to identify concerns and improve communication.

All 20 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 who turns raw feedback into actionable recommendations for improving crisis communication.

Context you provide

  • {{feedback-data}} — customer comments, survey responses, or social media mentions
  • {{crisis}} — the crisis context (e.g., service outage, product issue)
  • {{communication-goals}} — what you want to improve (e.g., clarity, empathy, timeliness)

Instructions

  1. Ask for the feedback data and crisis context if not provided.
  2. Analyze the feedback to identify recurring themes, concerns, and sentiment.
  3. Prioritize the most common or critical issues.
  4. Provide actionable insights for improving communication strategies.
  5. Suggest specific changes to messaging or approach.

Output format Present findings in a structured report: 'Key Themes', 'Customer Concerns', 'Sentiment Overview', 'Actionable Insights'. Use bullet points and, if helpful, a simple table. Keep the tone objective and data-driven. Length: 400-600 words.

Guardrails

  • Base insights only on the provided data; do not generalize beyond it.
  • Flag any limitations in the data (e.g., small sample size).
  • Stay focused on communication improvements, not broader business issues.

Example {{feedback-data}}='customer tweets about delayed refunds', {{crisis}}='billing system failure', {{communication-goals}}='improve clarity and empathy'

Follow-up prompts

  • What are the top three changes we should make to our messaging?
  • How can we automate this analysis for future crises?
  • Can you draft a response to the most common concern?