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Design a Slack-Like Messaging System

Last updated: May 12, 2026

Quick Overview

This question evaluates understanding of real-time team messaging architecture, covering core entities (users, workspaces, channels, direct messages, messages), APIs for sending and receiving, persistent connections for real-time delivery, offline message recovery, ordering guarantees, notification behavior, and scalability concerns such as storage, queues, and fanout. It is commonly asked to assess architectural reasoning about trade-offs between latency, correctness, consistency, and user experience; it falls under the system design and distributed backend engineering domain and requires practical application-level systems thinking rather than purely conceptual understanding.

  • medium
  • OpenAI
  • System Design
  • Software Engineer

Design a Slack-Like Messaging System

Company: OpenAI

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

Design a Slack-like team messaging system focused on sending and receiving messages in real time. Your design should cover: - Core entities such as users, workspaces, channels, direct messages, and messages. - APIs for sending and receiving messages. - Real-time delivery, for example through persistent connections such as WebSockets. - How to recover messages missed while a client connection was disconnected. - Message ordering guarantees and how to implement them. - Notification behavior and the tradeoffs between low latency, correctness, and user experience. - Cold start behavior when a user opens the app after being offline for a while. - Storage, message queues, fanout, and scalability considerations.

Quick Answer: This question evaluates understanding of real-time team messaging architecture, covering core entities (users, workspaces, channels, direct messages, messages), APIs for sending and receiving, persistent connections for real-time delivery, offline message recovery, ordering guarantees, notification behavior, and scalability concerns such as storage, queues, and fanout. It is commonly asked to assess architectural reasoning about trade-offs between latency, correctness, consistency, and user experience; it falls under the system design and distributed backend engineering domain and requires practical application-level systems thinking rather than purely conceptual understanding.

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OpenAI
Apr 26, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
25
0

Design a Slack-like team messaging system focused on sending and receiving messages in real time.

Your design should cover:

  • Core entities such as users, workspaces, channels, direct messages, and messages.
  • APIs for sending and receiving messages.
  • Real-time delivery, for example through persistent connections such as WebSockets.
  • How to recover messages missed while a client connection was disconnected.
  • Message ordering guarantees and how to implement them.
  • Notification behavior and the tradeoffs between low latency, correctness, and user experience.
  • Cold start behavior when a user opens the app after being offline for a while.
  • Storage, message queues, fanout, and scalability considerations.

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