Introduction
The 30% decline in new customer applications for Home Credit's online installment loans since the website redesign is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into the product, user journey, and metrics. 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: Pinpoints the change that likely triggered the decline. Expected answer: "The redesign launched 6 weeks ago and focused on the application process." Impact on approach: If confirmed, I'll focus on the application flow specifically.
Why it matters: Helps identify if the issue affects all users or specific segments. Expected answer: "The decline is more pronounced among new customers, especially younger applicants." Impact on approach: If true, I'll investigate factors that might disproportionately affect new or younger users.
Why it matters: Rules out external factors affecting the funnel before the application stage. Expected answer: "Traffic sources and volumes have remained consistent." Impact on approach: If confirmed, I'll focus more on on-site issues rather than acquisition problems.
Why it matters: Identifies potential technical root causes. Expected answer: "We've seen a slight increase in page load times, but error rates are stable." Impact on approach: If load times have increased, I'll prioritize performance optimization in my recommendations.
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