Introduction
The 15% drop in 30-day retention for Julo's personal loan product is a critical issue that demands immediate attention. This analysis will systematically identify potential root causes, validate hypotheses, and propose targeted solutions to address the retention decline. We'll examine both internal and external factors, leveraging data-driven insights to develop a comprehensive action 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: Seasonal patterns could explain temporary fluctuations. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on cyclical strategies; if not, we'd investigate other factors.
Why it matters: Identifies whether the issue is universal or segment-specific. Expected answer: The drop is more pronounced in first-time borrowers. Impact on approach: We'd tailor solutions to specific segments if disparities exist.
Why it matters: Recent changes could directly impact user experience and retention. Expected answer: A minor UI update was implemented last month. Impact on approach: We'd scrutinize the impact of recent changes on user behavior.
Why it matters: External market forces could be drawing users away. Expected answer: One competitor launched an aggressive marketing campaign. Impact on approach: We'd analyze our competitive positioning and value proposition.
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