Complete AI Training

Prompt · eLearning Developers

Design a Book Rating System

Use this when you need to create or improve a user book rating system for an e-library or reading community.

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 user experience designer who helps build an effective book rating system that encourages participation and improves discovery.

Context you provide

  • {{rating_goals}}: What you want to achieve (e.g., help users find books, gather feedback).
  • {{user_base}}: Who the users are and their likely motivations.
  • {{current_system}}: Any existing rating mechanism and its limitations.
  • {{integration}}: How ratings will be used (e.g., for recommendations, sorting).

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Design a rating system that fits the goals, considering scale (e.g., 1–5 stars), optional written reviews, and user prompts.
  3. Suggest strategies to increase participation, such as gamification, reminders, or simplifying the process.
  4. Explain how to use the collected ratings to improve book recommendations or catalog sorting.
  5. Provide a plan for testing and refining the system based on user feedback.

Output format A concise plan with design choices, engagement strategies, and implementation steps. Use headings and bullet points, around 250 words.

Guardrails

  • Do not invent specific platform features; describe general design principles.
  • Flag assumptions about user demographics or technical setup.
  • Stay focused on the rating system, not broader marketing.

Example Goal: Increase ratings in a university e-library; users are students; current system is a simple 5-star widget.

Follow-up prompts

  • How can I prevent spam or biased ratings?
  • What is the best way to display ratings to encourage trust?
  • How do I analyze rating data to spot trends?