What factors are contributing to the sudden 15% drop in new KeyBank credit card applications since last quarter?

Introduction

The sudden 15% drop in new KeyBank credit card applications since last quarter is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for KeyBank's credit card business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this drop occurred during the same quarter in previous years?

Why it matters: Helps distinguish between cyclical trends and unique issues. Expected answer: No, this drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.

• Considering potential system changes, have there been any updates to the application process or credit scoring models in the last quarter?

Why it matters: Technical changes could directly impact application rates. Expected answer: A minor update to the online application form was implemented. Impact on approach: We'd scrutinize the impact of this update on user experience and completion rates.

• Thinking about market dynamics, have there been any significant changes in competitor offerings or marketing campaigns?

Why it matters: External competitive factors could influence consumer behavior. Expected answer: One major competitor launched a high-cashback card last month. Impact on approach: We'd analyze our value proposition compared to new competitor offerings.

• Regarding user segments, is the 15% drop consistent across all demographics, or are certain groups more affected?

Why it matters: Helps identify if the issue is universal or specific to certain user types. Expected answer: The drop is more pronounced among millennials and Gen Z applicants. Impact on approach: We'd focus on understanding changing preferences of younger demographics.

• Considering data integrity, has there been any change in how application numbers are tracked or reported?

Why it matters: Ensures we're not chasing a non-existent problem due to measurement errors. Expected answer: No changes in tracking or reporting methods. Impact on approach: We'd proceed with confidence in the data's accuracy and focus on real-world factors.