Introduction
Curve's 15% drop in card transaction volume over the past month is a significant issue that requires immediate attention and a thorough root cause analysis. As we delve into this problem, we'll follow a systematic approach to identify, validate, and address the underlying factors contributing to this decline. Our goal is to not only understand the immediate causes but also to develop strategies for recovery and long-term prevention.
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: Seasonal patterns could explain fluctuations in transaction volume. Expected answer: Yes, it's been compared and the drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on why this year differs; if not, we'd look at recent changes.
Why it matters: Identifying affected segments could point to specific issues or changes impacting certain users. Expected answer: The decline is more pronounced in the 25-34 age group. Impact on approach: We'd investigate factors specifically affecting this demographic.
Why it matters: Changes in partnerships could directly impact transaction volume. Expected answer: One major issuer reduced cashback on Curve transactions. Impact on approach: We'd analyze the impact of this change and explore mitigation strategies.
Why it matters: Technical problems could deter users from completing transactions. Expected answer: There's been a slight increase in reported transaction failures. Impact on approach: We'd prioritize investigating and resolving these technical issues.
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