Introduction
The recent 15% drop in Lulalend's business loan application conversion rate is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Our approach will involve a thorough examination of internal and external factors, data analysis, hypothesis generation, and validation. We'll also develop a comprehensive plan to resolve the issue and prevent similar occurrences in the future.
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 behavior and conversion rates. Expected answer: Yes, there were minor UI tweaks to the application form. Impact on approach: If confirmed, we'd focus on analyzing the specific changes and their potential effects on user experience.
Why it matters: Technical problems could lead to incomplete applications or frustrated users. Expected answer: No major outages, but there have been intermittent slowdowns. Impact on approach: This would prompt us to investigate server logs and performance metrics more closely.
Why it matters: Seasonal fluctuations could explain the change and influence our interpretation of the data. Expected answer: This drop is significantly larger than typical seasonal variations. Impact on approach: If confirmed, we'd focus more on recent changes rather than cyclical factors.
Why it matters: External market forces could be influencing loan demand or applicant behavior. Expected answer: No major changes, but there's been some negative press about business loan interest rates. Impact on approach: This would lead us to examine our pricing and messaging compared to competitors.
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