Introduction
The sudden increase in declined transactions for Payhawk's corporate credit cards this quarter is a critical issue that demands immediate attention. As we delve into this product execution problem, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal patterns could indicate external factors rather than internal issues. Expected answer: Some correlation with end-of-quarter spending, but not enough to explain the full increase. Impact on approach: If seasonal, we'd focus on capacity planning; if not, we'd look more at internal systems.
Why it matters: Segmentation could reveal targeted issues rather than system-wide problems. Expected answer: Higher decline rates among users with larger transaction volumes or in specific spending categories. Impact on approach: Targeted investigation of affected segments vs. broad system analysis.
Why it matters: Recent changes could be directly linked to the increase in declines. Expected answer: Minor updates to fraud detection algorithms, but no major policy changes. Impact on approach: Focus on recent system changes vs. exploring other potential causes.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No significant changes to tracking or definitions. Impact on approach: If changed, we'd need to recalibrate our baseline; if not, we can trust the comparative data.
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