Introduction
The on-time delivery rate for Zepto's express orders falling below 90% in Mumbai this month is a critical issue that demands immediate attention. As we analyze this product problem, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
To tackle this challenge, I'll start by asking clarifying questions, rule out external factors, break down the metric, generate data-driven hypotheses, conduct root cause analysis, and propose validation methods and solutions. My approach will balance thoroughness with efficiency, ensuring we arrive at actionable insights within our time constraints.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact delivery performance. Expected answer: Yes, a new route optimization algorithm was implemented last month. Impact on approach: If confirmed, we'd focus on technical issues and change management.
Why it matters: Local conditions could explain region-specific performance drops. Expected answer: Major road construction started in key areas of Mumbai. Impact on approach: We'd need to consider temporary rerouting and customer communication strategies.
Why it matters: Unexpected demand surges could strain existing capacity. Expected answer: Express orders have increased by 30% month-over-month. Impact on approach: We'd need to look at scaling operations and managing customer expectations.
Why it matters: Understanding the baseline helps determine if this is an anomaly or a trend. Expected answer: The average has been 95% with minimal fluctuation. Impact on approach: A sudden drop would suggest an acute issue rather than a gradual decline.
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