Introduction
The recent 15% drop in conversion rate for new customer sign-ups on Wise's mobile app is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Our approach will involve a thorough examination of potential factors, data analysis, and hypothesis generation. We'll prioritize understanding the user journey, breaking down the metric, and formulating data-driven hypotheses. Throughout this process, we'll maintain a focus on actionable insights and measurable outcomes.
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: Recent changes could directly impact user experience and conversion rates. Expected answer: Yes, there was an update last week. Impact on approach: If confirmed, we'd focus on changes introduced in the update.
Why it matters: Ensures we're addressing a real issue, not a data anomaly. Expected answer: No changes to analytics. Impact on approach: If confirmed, we can rule out measurement issues and focus on actual user behavior changes.
Why it matters: Helps narrow down potential causes and target our investigation. Expected answer: The drop is more pronounced in Android users in certain regions. Impact on approach: We'd focus on Android-specific issues and regional factors.
Why it matters: External events could influence user behavior and conversion rates. Expected answer: No major competitor actions noted. Impact on approach: If confirmed, we'd focus more on internal factors and user experience issues.
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