Introduction
The 15% drop in 30-day retention rate for new KoinWorks P2P borrowers this quarter is a critical issue that demands immediate attention. This metric directly impacts our user base growth and long-term sustainability. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to address the retention issue.
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 could explain temporary fluctuations in retention. Expected answer: No significant seasonal correlation observed. Impact on approach: If seasonal, we'd focus on cyclical strategies; if not, we'd look deeper into product or market changes.
Why it matters: Segmentation could reveal targeted issues affecting specific user groups. Expected answer: The drop is more pronounced among first-time borrowers. Impact on approach: If segmented, we'd tailor solutions to the most affected groups; if uniform, we'd look at broader, platform-wide factors.
Why it matters: Recent changes could directly impact user experience and retention. Expected answer: Minor updates to the credit scoring algorithm were implemented. Impact on approach: If changes occurred, we'd investigate their specific impact; if not, we'd focus on external factors or gradual shifts in user behavior.
Why it matters: Competitive pressure could be drawing users away after initial engagement. Expected answer: A new competitor launched with aggressive introductory rates. Impact on approach: If competitive landscape changed, we'd analyze our market positioning; if stable, we'd focus more on internal factors.
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