Introduction
A sudden 30% decrease in Acko's two-wheeler insurance policy sales last month is a critical issue 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 business.
I'll approach this problem 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 fluctuations could explain the drop without indicating a deeper problem. Expected answer: Yes, it's been compared and is still significantly lower. Impact on approach: If seasonal, we'd focus on year-over-year trends rather than month-over-month.
Why it matters: Technical glitches could lead to misreported data. Expected answer: No recent changes to tracking or reporting systems. Impact on approach: If yes, we'd prioritize technical validation of the data.
Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The decrease is more pronounced in urban areas and among younger customers. Impact on approach: Would focus our investigation on factors affecting these specific segments.
Why it matters: External market forces could be drawing customers away. Expected answer: One major competitor launched an aggressive discount campaign. Impact on approach: Would analyze our competitive positioning and pricing strategy.
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