Introduction
The recent 15% decrease in daily active users (DAU) for Tokopedia's mobile app over the past month is a significant concern that requires immediate attention and a thorough analysis. As we dive into this issue, we'll follow a structured approach to identify potential root causes, validate our hypotheses, and develop a comprehensive plan to address the problem.
Our analysis will cover various aspects, including technical issues, user behavior changes, product modifications, and external factors. We'll prioritize data-driven decision-making and consider both short-term fixes and long-term strategic implications for Tokopedia's mobile app ecosystem.
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: Seasonal trends can significantly impact user behavior and app usage. Expected answer: Yes, this decrease is unusual compared to previous years. Impact on approach: If seasonal, we'd focus on year-over-year comparisons rather than month-over-month.
Why it matters: Technical problems often lead to sudden drops in user engagement. Expected answer: An app update was released three weeks ago. Impact on approach: If confirmed, we'd prioritize investigating the impact of recent changes.
Why it matters: Identifying specific affected segments can narrow down potential causes. Expected answer: The decrease is more pronounced among occasional users. Impact on approach: We'd focus on understanding what's changed for this particular user segment.
Why it matters: External market forces can dramatically impact user behavior. Expected answer: A major competitor launched an aggressive promotional campaign. Impact on approach: We'd need to assess our competitive positioning and value proposition.
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