Introduction
The sudden 30% decrease in new lender sign-ups on Modalku's mobile app last week is a critical issue that demands immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.
I'll approach this issue by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. We'll generate and validate hypotheses, conduct a thorough root cause analysis, and finally propose a comprehensive resolution plan.
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 sign-up flow. Expected answer: Yes, a minor UI update was released. Impact on approach: If confirmed, we'd prioritize investigating the UI changes and their potential effects on the sign-up process.
Why it matters: Identifying affected segments could point to targeted issues or bugs. Expected answer: The decrease is more pronounced among younger users. Impact on approach: We'd focus on features or UI elements that might particularly affect younger users' experience.
Why it matters: Changes in user acquisition strategies could impact the quality and quantity of new sign-ups. Expected answer: No major changes in marketing efforts. Impact on approach: If confirmed, we'd shift focus more towards internal factors and product issues.
Why it matters: Ensures we're working with accurate data and not chasing a phantom problem. Expected answer: No known issues with tracking systems. Impact on approach: If confirmed, we can confidently proceed with data-driven analysis; if not, we'd need to audit our data collection processes first.
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