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Design a user behavior monitoring system

Last updated: Mar 29, 2026

Quick Overview

This question evaluates a candidate's ability to design scalable, low-latency user event ingestion and analytics pipelines while reasoning about data storage choices and aggregate correctness trade-offs.

  • medium
  • Rippling
  • System Design
  • Software Engineer

Design a user behavior monitoring system

Company: Rippling

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Onsite

## System Design: User Behavior Monitoring System You are asked to design a monitoring/analytics system that collects **user behavior events** from clients (e.g., **app install**, **user clicks**, etc.). The system must support: ### Functional requirements 1. **Real-time monitoring**: show near-real-time metrics on dashboards (e.g., installs per minute, click-through rate). 2. **Raw event retention**: store **raw events** for large **offline/batch jobs** (e.g., daily/weekly aggregation, deeper analysis). 3. **Metric discovery/confirmation**: you should clarify with the interviewer which exact product metrics are needed (assume multiple counters/ratios, grouped by dimensions like platform/app version/country). ### Non-functional requirements (assume typical expectations) - Handle **high write throughput** (many clients emitting events). - **Low-latency** updates for dashboards (seconds-level is acceptable unless otherwise specified). - **Scalable** storage and compute. - **Reasonable correctness** for aggregates (be explicit about tradeoffs: at-least-once vs exactly-once, late events). ### Out of scope - System/infra observability metrics like host reliability/latency are **not required** unless you want to briefly mention them. Design the architecture, key components, data flow, storage choices, and how you compute/serve real-time metrics vs offline analytics.

Quick Answer: This question evaluates a candidate's ability to design scalable, low-latency user event ingestion and analytics pipelines while reasoning about data storage choices and aggregate correctness trade-offs.

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Rippling
Dec 4, 2025, 12:00 AM
Software Engineer
Onsite
System Design
21
0

System Design: User Behavior Monitoring System

You are asked to design a monitoring/analytics system that collects user behavior events from clients (e.g., app install, user clicks, etc.). The system must support:

Functional requirements

  1. Real-time monitoring : show near-real-time metrics on dashboards (e.g., installs per minute, click-through rate).
  2. Raw event retention : store raw events for large offline/batch jobs (e.g., daily/weekly aggregation, deeper analysis).
  3. Metric discovery/confirmation : you should clarify with the interviewer which exact product metrics are needed (assume multiple counters/ratios, grouped by dimensions like platform/app version/country).

Non-functional requirements (assume typical expectations)

  • Handle high write throughput (many clients emitting events).
  • Low-latency updates for dashboards (seconds-level is acceptable unless otherwise specified).
  • Scalable storage and compute.
  • Reasonable correctness for aggregates (be explicit about tradeoffs: at-least-once vs exactly-once, late events).

Out of scope

  • System/infra observability metrics like host reliability/latency are not required unless you want to briefly mention them.

Design the architecture, key components, data flow, storage choices, and how you compute/serve real-time metrics vs offline analytics.

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