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)
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.
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.
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.
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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