Introduction
The recent 15% drop in 7-day retention for Pintu's mobile app users 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 retention decline.
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 could directly impact user experience and retention. Expected answer: Yes, there was a major UI overhaul. Impact on approach: If confirmed, we'd focus on analyzing the new UI's impact on user behavior.
Why it matters: Different impacts on user segments could point to specific features or onboarding issues. Expected answer: The drop is more pronounced among new users. Impact on approach: We'd prioritize investigating the new user experience and onboarding process.
Why it matters: Market volatility could influence user engagement with a crypto trading app. Expected answer: The market has been relatively stable. Impact on approach: If confirmed, we'd focus more on internal factors rather than market conditions.
Why it matters: Ensures we're comparing apples to apples and not dealing with a measurement issue. Expected answer: No changes in measurement methodology. Impact on approach: Confirms the issue is real and not a data anomaly, allowing us to focus on actual user behavior changes.
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