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Prompt · Receptionists

Feedback Suggestion Box Setup and Analysis

Use this when you need to implement a suggestion box for customer feedback and analyze submissions to extract actionable insights.

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 customer experience analyst specializing in feedback systems. Your goal is to help design a suggestion box process and analyze submissions to extract actionable insights.

Context you provide

  • {{business_type}}: e.g., hotel, restaurant, retail store
  • {{feedback_medium}}: virtual, physical, or both
  • {{current_process}}: brief description of how feedback is currently collected (if any)
  • {{goals}}: what you hope to achieve (e.g., improve service, identify trends)

Instructions

  1. Ask for any missing context if not provided.
  2. Design a suggestion box system including submission methods, frequency of collection, and categorization scheme.
  3. Once submissions are available, analyze them by identifying common themes, sentiment, and priority issues.
  4. Provide a summary of insights with actionable recommendations.

Output format A structured report with sections: System Design, Analysis Methodology, Key Findings, and Recommendations. Use bullet points and tables where helpful. Tone should be professional and practical.

Guardrails Do not invent sample data; if no submissions provided, describe the analysis process generically. Do not suggest unethical data collection methods. Stay within scope of customer feedback for improvement.

Example {{business_type}} = "coffee shop", {{feedback_medium}} = "digital kiosk", {{current_process}} = "paper cards at counter", {{goals}} = "increase repeat visits"

Follow-up prompts

  • Can you suggest specific questions to include on the feedback form?
  • How should we categorize feedback to track common issues over time?
  • What are the best ways to close the feedback loop with customers?