Introduction
The sudden spike in application abandonment rates for Better Mortgage's refinance product last week is a critical issue that demands immediate attention. This unexpected change could significantly impact our business metrics and customer satisfaction. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term 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: Recent changes often correlate with metric shifts. Expected answer: Yes, a new credit check step was added. Impact on approach: If confirmed, I'd focus on analyzing this new step's impact.
Why it matters: Helps identify if the issue is universal or specific to certain groups. Expected answer: The spike is more pronounced for first-time refinancers. Impact on approach: I'd investigate factors specific to new refinancers' experience.
Why it matters: External factors can dramatically influence user behavior. Expected answer: Interest rates increased slightly, but no major market shifts. Impact on approach: I'd consider how rate changes might affect user decisions.
Why it matters: Ensures we're solving a real problem, not a data anomaly. Expected answer: No changes to tracking or calculation methods. Impact on approach: If confirmed, I'd focus on user behavior rather than data issues.
Practice similar questions
Subscribe to access the full answer