Introduction
The 30% decrease in new user signups for WeLab Bank's mobile app in Q2 compared to Q1 is a significant issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications.
I'll begin by clarifying the context, then rule out external factors before diving deep into the product ecosystem, user journey, and metric breakdown. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps distinguish between cyclical patterns and unique issues. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on mitigating cyclical effects; if not, we'd investigate recent changes or market shifts.
Why it matters: Pinpoints where in the user journey the problem is occurring. Expected answer: A significant drop in conversion between app download and account creation. Impact on approach: We'd focus on optimizing the specific stage where conversion has decreased.
Why it matters: Helps determine if the issue is WeLab-specific or industry-wide. Expected answer: A major competitor launched a high-interest savings account promotion. Impact on approach: We'd need to consider both internal improvements and competitive positioning.
Why it matters: Identifies potential internal causes for the decrease. Expected answer: A new KYC process was implemented at the start of Q2. Impact on approach: We'd scrutinize the impact of this change on user experience and conversion.
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