Introduction
Myntra's same-day delivery option usage decline of 40% in major metro areas during the past quarter is a significant issue that requires 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 trends could explain the decline without indicating a deeper issue. Expected answer: Order volume has remained relatively stable. Impact on approach: If true, we'd focus more on same-day delivery-specific factors.
Why it matters: This helps identify if the issue is universal or specific to certain user groups. Expected answer: The decline is more significant among occasional users. Impact on approach: We'd investigate factors that might be deterring occasional users specifically.
Why it matters: Policy changes could directly impact usage rates. Expected answer: No significant changes to pricing or eligibility. Impact on approach: If true, we'd focus more on external factors or user perception issues.
Why it matters: Performance issues could lead to decreased trust and usage. Expected answer: On-time delivery rates have remained consistent. Impact on approach: If true, we'd look more at user perception and competing options rather than operational issues.
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