Introduction
Divvy Homes' customer retention rate for long-term renters has dropped from 85% to 70% following the implementation of a new online payment system. This significant decrease warrants a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could contribute to this retention issue.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: This helps establish a direct link between the system change and retention issues. Expected answer: Yes, there has been an uptick in payment-related complaints. Impact on approach: If confirmed, we'll focus more on the payment system's usability and functionality.
Why it matters: Identifying specific affected segments can help narrow down potential causes. Expected answer: The drop is more pronounced among older renters or those in certain geographic areas. Impact on approach: We'd tailor our investigation and solutions to the most affected segments.
Why it matters: External factors could be contributing to or exacerbating the retention issue. Expected answer: No major market changes, but some regional economic fluctuations. Impact on approach: We'd need to consider both product-specific and broader market factors in our analysis.
Why it matters: The implementation strategy could impact user adoption and satisfaction. Expected answer: It was a sudden switch to the new system for all users. Impact on approach: We'd focus on change management and user onboarding strategies in our solution.
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