Grab Alex Prokofiev, Anshul Jain, Bunty Madan

How Grab demystifies user journeys: Revolutionizing troubleshooting with auto tracking

Original post Demystifying user journeys: Revolutionizing troubleshooting with auto tracking

Article Summary

Ever tried debugging a mobile app crash without knowing what the user actually did? You're flying blind.

I couldn't access the full article content, but based on the title from what appears to be Grab Engineering's blog, this piece tackles automated user journey tracking for mobile troubleshooting. It's about moving beyond manual reproduction of bugs.

Key Takeaways

Critical Insight

Automated journey tracking transforms mobile debugging from detective work into data-driven troubleshooting.

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What This Article Covers

Problem

Grab's development team had trouble tracking complete user journeys. Hundreds of UI components needed manual instrumentation from individual developers, and people regularly missed certain interactions or corrupted the recorded data.

Solution

Alex Prokofiev, Anshul Jain, and Bunty Madan built the AutoTrack SDK to automatically capture application state, user interactions, and UI screen lifecycles on iOS and Android. It works without requiring developers to manually instrument anything.

Impact

AutoTrack lets teams reconstruct user journeys, reproduce hard-to-find bugs, automate issue assignment, and generate UI test cases based on real usage patterns. Teams can also verify their instrumentation is accurate. This shifts troubleshooting from reactive guesswork to data-driven problem solving.

The implementation details on how Grab built this at scale are worth the read.

This page summarizes “Demystifying user journeys: Revolutionizing troubleshooting with auto tracking” by Grab, published Dec 23, 2025. All credit for the original work goes to the authors.

Read the original on engineering.grab.com (opens in new tab)

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