Introduction
The recent 15% drop in Zeta's credit card application approval rate over the past month is a critical issue that demands immediate attention. This decline not only impacts our revenue but also affects customer satisfaction and our competitive position in the market. 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: Changes in credit scoring can directly impact approval rates. Expected answer: Yes, there was a recent update. Impact on approach: If confirmed, we'd focus on validating the new model's performance.
Why it matters: Inaccurate or incomplete data can lead to incorrect credit decisions. Expected answer: No significant issues reported. Impact on approach: If issues are found, we'd prioritize data quality checks and provider communication.
Why it matters: Economic factors can change who's applying, affecting overall approval rates. Expected answer: Some changes in applicant profiles noted. Impact on approach: We'd segment the data to understand if certain groups are disproportionately affected.
Why it matters: Different channels can attract varying quality of applicants. Expected answer: New partnership launched last month. Impact on approach: We'd analyze approval rates by acquisition channel to identify any correlations.
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