Design a user behavior tracking system

Q: Design a user behavior tracking system

This question evaluates system design and data engineering competencies including distributed event ingestion, client SDK and API design, streaming and batch storage choices, data modeling and schema evolution, enrichment pipelines, and privacy/compliance concerns, and is categorized under System Design and analytics infrastructure.

Q: How do I approach System Design interview questions?

System Design questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master system design interviews.

Q: What difficulty level is this interview question?

This is a hard difficulty System Design question, commonly asked during Technical Screen rounds at Rippling.

Q: What role is this question designed for?

This question is commonly asked for Software Engineer candidates at Rippling during technical interviews.

Question

Problem

Design a User Behavior Tracking System that collects and analyzes user events from mobile and web applications across multiple products.

Functional requirements

Track user behavior events (e.g., page_view, click, purchase) across products.
Provide client SDKs (web + mobile) and server-side API endpoints for event collection.
Support two primary analytics use cases:
1. Dashboard queries (interactive): fast response times for common metrics and slices.
2. Deep analytics / warehousing queries : complex, ad-hoc queries over large historical data.
Support data enrichment , such as:
- Reverse geolocation from IP/GPS
- Compliance / policy tagging (e.g., PII flags, data residency constraints)

Non-functional requirements

Low latency for dashboard queries.
Support asynchronous execution for complex analytics queries.
(Assume typical production needs) reliability, scalability, schema evolution, and access control.

Deliverables to cover in your design

High-level architecture and main components.
Data model / event schema and how you handle schema evolution.
Ingestion pipeline (SDK → backend) with reliability guarantees.
Storage choices for dashboard vs warehouse queries.
Enrichment design (real-time vs batch) and how enriched data is served.
Key tradeoffs, bottlenecks, and operational concerns (monitoring, data quality, privacy).

Design a user behavior tracking system

Quick Overview

Problem

Functional requirements

Non-functional requirements

Deliverables to cover in your design

Solution

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