Introduction
The recent 15% drop in Extra's credit card application approval 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, and hypothesis generation. We'll prioritize efficiency in our investigation while ensuring we cover all potential angles. Let's begin by clarifying the situation and ruling out basic external factors before diving deeper into the product ecosystem and user journey.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Changes in credit scoring can directly impact approval rates. Expected answer: Yes, there was a minor update to the algorithm. Impact on approach: If confirmed, we'd focus on validating the new model's performance.
Why it matters: Helps identify if the issue is systemic or segment-specific. Expected answer: The drop is more pronounced in younger applicants. Impact on approach: We'd investigate factors specifically affecting younger applicants' creditworthiness.
Why it matters: External economic factors could be driving changes in our applicant pool. Expected answer: There's been a slight decrease in average credit scores. Impact on approach: We'd need to consider adjusting our marketing strategy or credit criteria.
Why it matters: UI/UX changes can affect user behavior and application quality. Expected answer: No significant changes to the application process. Impact on approach: We'd focus more on backend processes and credit criteria rather than user experience issues.
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