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Product Management Root Cause Analysis Question: Investigating sudden drop in Yulu Bikes app signups
Image of author vinay

Vinay

Updated Jan 2, 2025

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What caused the sudden 50% decrease in new user signups for Yulu Bikes's mobile app last week?

Data Analysis Problem-Solving Hypothesis Testing Mobility Transportation Sharing Economy
Product Metrics User Acquisition Root Cause Analysis Mobile Apps Bike-Sharing

Introduction

The sudden 50% decrease in new user signups for Yulu Bikes's mobile app last week is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and 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 there might have been a recent app update. Has there been any significant change to the app in the past week or two?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was an update two weeks ago. Impact on approach: If true, I'd focus on changes introduced in that update.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 50% drop uniform across all user segments or concentrated in specific groups?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The drop is more pronounced among new users aged 18-25. Impact on approach: I'd investigate factors specifically affecting this demographic.

  • Given the nature of bike-sharing, I'm wondering about seasonal trends. How does this week's signup rate compare to the same week in previous years?

Why it matters: Rules out normal seasonal fluctuations. Expected answer: This week typically sees stable or increasing signups. Impact on approach: If true, I'd focus on recent changes rather than cyclical factors.

  • Thinking about potential technical issues, have there been any reported problems with app functionality or server uptime in the past week?

Why it matters: Technical issues can directly impact user signups. Expected answer: No major outages, but some users reported slow load times. Impact on approach: I'd investigate performance issues and their impact on conversions.

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