Introduction
The sudden 20% drop in Wish's mobile app daily active users (DAU) over the past month is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the DAU decline.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends can significantly impact e-commerce app usage. Expected answer: No major seasonal events during this period. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical strategies.
Why it matters: Identifying specific affected segments can pinpoint targeted issues. Expected answer: The decline is more pronounced among younger users aged 18-25. Impact on approach: We'd investigate factors specifically affecting younger users' engagement.
Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: A new recommendation algorithm was implemented three weeks ago. Impact on approach: We'd focus on the impact of the new algorithm on user engagement.
Why it matters: Changes in user acquisition can affect the quality and retention of new users. Expected answer: Marketing spend has remained consistent. Impact on approach: We'd shift focus to retention issues rather than acquisition problems.
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