Why has Divvy Homes's rent-to-own application process seen a 30% drop in completed applications over the past month?

Introduction

The recent 30% drop in completed rent-to-own applications at Divvy Homes over the past month is a critical issue that demands immediate attention. This significant decline in a key conversion metric could have far-reaching implications for the company's growth and customer acquisition strategy. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

Step 1

Clarifying Questions (3 minutes)

• Given the sudden drop, I'm wondering about recent changes. Have there been any significant updates to the application process or website in the last 1-2 months?

Why it matters: Recent changes could directly impact user experience and completion rates. Expected answer: Yes, there was a recent update to the application form. Impact on approach: If confirmed, we'd focus on analyzing the specific changes and their effects.

• Considering user segments, I'm curious about the demographics. Has the drop been consistent across all user groups, or are certain segments more affected?

Why it matters: Identifying affected segments could point to specific issues or changing market dynamics. Expected answer: The drop is more pronounced among first-time homebuyers. Impact on approach: We'd investigate factors specifically affecting this group, such as credit requirements or pricing.

• Thinking about external factors, I'm interested in market conditions. Have there been any significant changes in mortgage rates or housing market trends in the past month?

Why it matters: External market factors could influence user motivation and ability to complete applications. Expected answer: Mortgage rates have increased slightly, but no major market shifts. Impact on approach: We'd consider how rate changes might affect Divvy's value proposition.

• Regarding user feedback, I'm wondering about customer support data. Has there been an increase in support tickets or specific complaints related to the application process?

Why it matters: Direct user feedback could highlight specific pain points or technical issues. Expected answer: There's been a 20% increase in support tickets related to application confusion. Impact on approach: We'd prioritize investigating the most common issues reported by users.