Introduction
The sudden spike in customer support wait times for Better's mortgage refinance applicants last week is a critical issue that demands immediate attention. This problem not only impacts customer satisfaction but also has potential ripple effects on our overall business performance. I'll approach this analysis 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 could directly impact user experience and support needs. Expected answer: Yes, we rolled out a new user interface for the application process. Impact on approach: If confirmed, I'd focus on UI/UX issues and user confusion.
Why it matters: Staffing changes could explain increased wait times. Expected answer: No significant changes in staffing, but we've seen a 20% increase in application volume. Impact on approach: I'd shift focus to scalability issues and demand forecasting.
Why it matters: Technical problems could cause a backlog of support requests. Expected answer: There was a brief outage in our document processing system two days ago. Impact on approach: I'd prioritize investigating the impact of this outage on the application process.
Why it matters: External market forces could drive sudden increases in application volume. Expected answer: Interest rates dropped slightly, but nothing out of the ordinary. Impact on approach: I'd focus more on internal factors rather than market conditions.
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