Introduction
The 20% decrease in average order value for MobiKwik's instant loan product compared to last quarter is a significant issue that requires thorough investigation. I'll approach this problem systematically, focusing on identifying potential root causes, 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: Changes in approval processes could directly impact average order values. Expected answer: Yes, we tightened our risk assessment criteria last month. Impact on approach: If confirmed, we'd need to analyze the impact of these changes on loan amounts and approval rates.
Why it matters: Different user segments may have varying loan requirements and repayment capacities. Expected answer: We've seen an increase in younger, first-time borrowers. Impact on approach: This would lead us to investigate how different user segments impact average order values.
Why it matters: Competitive pressures could influence user behavior and loan preferences. Expected answer: A major competitor launched a lower-interest loan product last quarter. Impact on approach: We'd need to assess our product positioning and potentially adjust our offering to remain competitive.
Why it matters: Technical problems could lead to incomplete transactions or user drop-offs. Expected answer: No major issues reported, but there were minor slowdowns during peak hours. Impact on approach: We'd need to investigate if these slowdowns correlate with lower order values or abandoned transactions.
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