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Product Management Root Cause Analysis Question: Investigating sudden increase in Strava Android app crashes
Image of author vinay

Vinay

Updated Nov 19, 2024

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What's causing the sudden increase in app crashes for Strava's Android users after the latest update?

Problem-Solving Technical Analysis Data Interpretation Fitness Tech Mobile Apps Health & Wellness
User Experience Root Cause Analysis Android Mobile App Development Crash Diagnostics

Introduction

The sudden increase in app crashes for Strava's Android users after the latest update is a critical issue that demands immediate attention. This problem not only affects user experience but could also impact user retention and the app's overall performance metrics. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term solutions.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking this might be related to the recent update. Can you confirm when exactly the update was rolled out and when the increase in crashes was first noticed?

Why it matters: This helps establish a clear timeline and potential correlation. Expected answer: The update was rolled out 3 days ago, and crashes increased within 24 hours. Impact on approach: A strong temporal correlation would focus our investigation on the update itself.

  • Considering the specificity to Android, I'm wondering about device fragmentation. Do we have data on which Android versions or device models are most affected?

Why it matters: Android fragmentation could lead to compatibility issues. Expected answer: Crashes are more prevalent on devices running Android 11 and newer. Impact on approach: This would narrow our focus to potential incompatibilities with newer Android versions.

  • Given that it's a "sudden increase," I'm curious about the magnitude. Can you provide specifics on the crash rate before and after the update?

Why it matters: Understanding the scale helps prioritize the issue and allocate resources. Expected answer: Crash rate increased from 0.5% to 3% of active users. Impact on approach: A significant increase would warrant more urgent action and broader investigation.

  • Thinking about user segments, I'm wondering if this affects all users equally. Do we see any patterns in terms of user behavior or demographics among those experiencing crashes?

Why it matters: This could reveal if the issue is related to specific features or user actions. Expected answer: Crashes are more common among users who use GPS tracking features. Impact on approach: This would focus our investigation on GPS-related functionality and associated code changes.

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