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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.

All 18 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 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

  1. If any context is missing, ask for it.
  2. Design a reputation scoring system that uses available data points (e.g., frequency of flags, positive reactions, account age, content quality).
  3. Suggest algorithms or heuristics to assess user behavior and flag potential issues.
  4. Propose a model for user tiers (e.g., new, trusted, restricted) and how to transition between them.
  5. 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?