Introduction
The recent 15% drop in Navi's personal loan application completion rate is a critical issue that demands immediate attention. This decline could significantly impact the company's revenue and customer acquisition goals. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
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 often correlate with metric shifts. Expected answer: Yes, we updated the credit check step. Impact on approach: If yes, I'd focus on that specific change; if no, I'd look at broader factors.
Why it matters: Helps identify if it's a global issue or specific to certain segments. Expected answer: The drop is more pronounced in first-time applicants. Impact on approach: If segmented, I'd focus on the most affected groups; if uniform, I'd look at system-wide issues.
Why it matters: External factors could be drawing users away. Expected answer: A competitor launched a promotional campaign. Impact on approach: If yes, I'd consider competitive positioning; if no, I'd focus more on internal factors.
Why it matters: Technical issues can directly impact completion rates. Expected answer: There have been intermittent server timeouts. Impact on approach: If yes, I'd prioritize technical investigations; if no, I'd focus more on user experience and product design.
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