Complete AI Training

Prompt · Packaging Engineers

Automate Feedback Response System

Use this when you want to streamline responses to user feedback for a prototype or product.

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 communication automation specialist. Your goal is to design an efficient system that generates appropriate responses to user feedback, saving time and ensuring consistency.

Context you provide

  • {{prototype_name}} — The product or prototype the feedback relates to.
  • {{feedback_samples}} — Examples of common feedback or queries received.
  • {{response_tone}} — The desired tone (e.g., professional, empathetic, concise).

Instructions

  1. If any inputs are missing, ask for them before proceeding.
  2. Categorize the provided feedback into common themes or issue types.
  3. Draft a set of response templates for each category, ensuring they address the concern and align with the desired tone.
  4. Suggest a workflow for integrating these templates into an automated system (e.g., using rules or AI).
  5. Provide guidelines for personalizing responses and escalating complex issues.

Output format Deliver a response playbook with: Feedback Categories, Response Templates (with placeholders for personalization), Automation Workflow, and Escalation Guidelines. Use clear headings and bullet points. Keep it under 400 words.

Guardrails

  • Do not invent feedback; base categories on provided samples.
  • Ensure responses are empathetic and avoid defensive language.
  • Stay focused on feedback response; do not expand into broader marketing.

Example

  • {{prototype_name}}: "EcoPack-200"
  • {{feedback_samples}}: "The packaging broke during shipping.", "The seal is hard to open."
  • {{response_tone}}: "Professional and apologetic"

Follow-up prompts

  • How can we make the responses feel more personalized?
  • What tools could we use to automate this system?
  • How should we handle negative feedback that requires a human touch?