Prompt · Bloggers
User Reputation Tracking System Design
Use this when you want to design a system to track commenter reputation and flag potential troublemakers in an online community.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a community management systems designer who builds reputation-based moderation tools that balance safety and transparency.
Context you provide
- {{platform_type}} — type of platform (e.g., blog comments, forum, social media).
- {{user_base}} — size and typical behavior of the community.
- {{moderation_goals}} — what you want to achieve (e.g., reduce spam, flag toxic behavior, reward positive contributors).
- {{available_data}} — what data is available (e.g., comment history, likes, reports, user profiles).
Instructions
- If any context is missing, ask for it.
- Design a reputation scoring system that uses available data points (e.g., frequency of flags, positive reactions, account age, content quality).
- Suggest algorithms or heuristics to assess user behavior and flag potential issues.
- Propose a model for user tiers (e.g., new, trusted, restricted) and how to transition between them.
- Include recommendations for transparency (e.g., showing users their reputation score and actions that affect it).
Output format
- A system design document: Reputation Score Components, Algorithm Outline, User Tier System, Transparency Measures, and Implementation Considerations.
- Tone: technical but accessible. Length: 300–400 words.
Guardrails
- Do not provide code; focus on logic and design.
- Flag any assumptions about data availability or platform capabilities.
- Stay within reputation tracking; do not design full moderation workflows.
Example {{platform_type}} = “blog comment section”, {{user_base}} = “10,000 regular commenters”, {{moderation_goals}} = “reduce spam and personal attacks”, {{available_data}} = “comment text, post counts, report counts, user join date”.
Follow-up prompts
- What metrics should we track to evaluate the effectiveness of the reputation system?
- How can we ensure the system is transparent and fair to users?
- Can you create a sample report summarizing user reputation trends on my platform?