Introduction
The recent decline in average weekly spend on Greenlight's Cash Back card by $20 per user since the latest app update is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve 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: Establishes a clear timeline for the issue. Expected answer: The update was released on [specific date] and the decline began within [X] days. Impact on approach: A clear correlation would focus our investigation on the update itself.
Why it matters: Helps identify if the issue is universal or specific to certain user groups. Expected answer: The decline is more pronounced among [specific user segment]. Impact on approach: Would guide us to investigate features or changes that might disproportionately affect certain users.
Why it matters: Direct changes to the core value proposition could explain the spending decline. Expected answer: Yes/No, with details on any changes made. Impact on approach: If yes, we'd focus on user perception and communication of these changes.
Why it matters: Rules out potential data anomalies. Expected answer: All systems have been verified and are functioning correctly. Impact on approach: If any issues are found, we'd prioritize fixing data collection before further analysis.
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