Introduction
Plymouth Rock Assurance's 20% increase in motorcycle insurance policy cancellations presents a critical challenge 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 company's motorcycle insurance product line.
I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form 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: Seasonal patterns could indicate external factors rather than product issues. Expected answer: The increase has been observed over the past 6 months. Impact on approach: If seasonal, we'd focus on cyclical factors; if not, we'd look more closely at recent changes.
Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The increase is more pronounced among younger riders with less expensive policies. Impact on approach: This would lead us to investigate factors specifically affecting younger riders or entry-level policies.
Why it matters: Recent changes could directly impact cancellation rates. Expected answer: A slight increase in premiums was implemented 8 months ago. Impact on approach: We'd need to analyze the correlation between the premium increase and cancellation rates.
Why it matters: Competitive pressures could be driving cancellations. Expected answer: A new entrant has been aggressively marketing lower rates to younger riders. Impact on approach: We'd need to assess our competitive positioning and value proposition.
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