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Product Management Root Cause Analysis Question: Investigating decreased mobile app engagement for urban transit application

Why has the average session duration for GoMetro's mobile app decreased from 8 minutes to 5 minutes in the last month?

Data Analysis Problem-Solving User Experience Transportation Mobile Technology Urban Planning
User Engagement Performance Optimization Root Cause Analysis Mobile Apps Transit Tech

Introduction

The recent decrease in GoMetro's mobile app average session duration from 8 minutes to 5 minutes is a concerning trend that requires immediate attention. This significant drop in user engagement could have far-reaching implications for user retention, revenue, and overall product health. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

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 there might have been a recent app update. Has there been any significant changes or updates to the app in the last month?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was an update two weeks ago. Impact on approach: If confirmed, we'd focus on changes introduced in the update.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 3-minute drop consistent across all user segments or more pronounced in specific groups?

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decrease is more significant among newer users. Impact on approach: We'd investigate onboarding and new user experience if this is the case.

  • Given the nature of transit apps, I'm wondering about any recent changes in transit patterns. Have there been any major changes in public transportation schedules or routes in the past month?

Why it matters: External factors could influence app usage patterns. Expected answer: No significant changes in transit schedules. Impact on approach: If confirmed, we'd focus more on internal factors.

  • Thinking about potential technical issues, has there been any increase in app crashes or performance issues reported in the last month?

Why it matters: Technical problems could lead to shorter sessions. Expected answer: There's been a slight increase in reported crashes. Impact on approach: We'd prioritize investigating technical stability if confirmed.

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