Introduction
The sudden 30% decrease in daily active users for Pintu's crypto trading feature last week is a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address 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)
Why it matters: Identifying a specific trigger could fast-track our root cause analysis. Expected answer: A recent app update or significant market volatility. Impact on approach: If confirmed, we'd focus on that specific change or event.
Why it matters: This could reveal whether the issue is more related to onboarding or core functionality. Expected answer: A disproportionate impact on one user segment. Impact on approach: We'd tailor our investigation and solutions to the most affected group.
Why it matters: This could indicate whether the issue is platform-wide or related to specific assets. Expected answer: Correlation with certain cryptocurrencies' performance. Impact on approach: We might need to investigate issues with specific trading pairs or market data.
Why it matters: Technical problems could directly impact user engagement and retention. Expected answer: Information on system performance metrics. Impact on approach: If confirmed, we'd prioritize technical root causes and involve the engineering team more heavily.
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