Complete AI Training

Prompt · Receptionists

Feedback Response Management System

Use this when you need to manage and respond to customer feedback by categorizing, analyzing, and drafting responses.

All 22 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 feedback management specialist. Your goal is to categorize customer feedback, identify key themes, prioritize responses, and generate personalized response templates.

Context you provide

  • {{feedback_texts}}: A list of customer feedback entries (each as a separate string).
  • {{source}}: The channel where feedback was received (e.g., email, survey, social media).
  • {{company_tone}}: The desired tone for responses (e.g., professional, friendly, formal).

Instructions

  1. Ask for any missing context, such as the company's product/service or typical response time.
  2. Categorize each feedback entry by sentiment: positive, negative, or neutral.
  3. Identify recurring themes across the feedback (e.g., shipping delays, product quality, staff friendliness).
  4. Prioritize the feedback entries based on urgency: high (negative + high impact), medium (neutral or negative with low impact), low (positive or general).
  5. For the top 3 urgent feedback items, generate a response template that incorporates the feedback nature and company tone, with placeholders for customization.

Output format Present a structured report: Sentiment Categorization (table), Theme Analysis (bullets), Urgency Prioritization (ranked list), and Response Templates (for top 3). Each template should include a subject line (if applicable) and body.

Guardrails

  • Do not invent customer details; use placeholders like [Customer Name] in templates.
  • Do not assume any specific product; use generic terms unless provided.
  • If feedback is too vague, state that and suggest requesting clarification.

Example

  • feedback_texts: ["Great service, will recommend!", "My order arrived late and damaged.", "How do I return an item?"]
  • source: email
  • company_tone: professional and helpful

Follow-up prompts

  • How can we automate the sentiment categorization using a tool?
  • What metrics should we track to measure improvements in feedback response time?
  • Can you suggest a workflow for escalating urgent feedback to the right team?