Introduction
The recent 15% drop in 7-day retention for Ajaib's stock trading app is a critical issue that demands immediate attention. As we analyze this retention problem, we'll follow a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
To tackle this challenge, I'll start by asking clarifying questions to gather essential context. Then, we'll rule out basic external factors before diving deep into the product understanding, metric breakdown, and data analysis. We'll generate and prioritize hypotheses, conduct a thorough root cause analysis, and finally propose a comprehensive validation and resolution plan.
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 user experience and onboarding flow changes.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The drop is more significant among new users aged 18-25. Impact on approach: We'd tailor our analysis and solutions to this specific demographic.
Why it matters: External events could influence user behavior and retention. Expected answer: No significant market events, but a new regulation on trading fees was introduced. Impact on approach: We'd investigate how the new regulation might have affected our app's competitiveness.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: Confirms the issue is real and not a result of measurement discrepancies.
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