Introduction
The sudden 30% increase in failed identity verifications for new user sign-ups on Credit Karma is a critical issue that demands immediate attention. This problem directly impacts user acquisition and could have far-reaching consequences for the platform's growth and user trust. I'll approach this analysis systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term fixes and long-term solutions.
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: Pinpointing the timeframe helps correlate the issue with potential changes or events. Expected answer: Within the last week or two. Impact on approach: A sudden change suggests a specific trigger rather than a gradual trend.
Why it matters: Identifying patterns could point to specific user groups or technical issues. Expected answer: Mobile users or younger demographics might be more affected. Impact on approach: This would focus our investigation on particular user segments or technologies.
Why it matters: External data source changes could directly impact verification success rates. Expected answer: No recent changes, but we'll need to double-check. Impact on approach: If confirmed, we'd need to investigate data quality or API performance issues.
Why it matters: Recent changes could have unintended consequences on the verification process. Expected answer: A minor UI update was implemented two weeks ago. Impact on approach: We'd need to scrutinize this update and its potential impact on user behavior or system performance.
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