Introduction
The recent 15% drop in average trip completion rate for Careem NOW food delivery in Dubai 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 our food delivery service.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and metrics. From there, I'll form data-driven 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: Recent changes often correlate with performance shifts. Expected answer: Yes, a new app version was released. Impact on approach: If yes, we'd focus on the changes in that release.
Why it matters: Helps narrow down potential causes and affected areas. Expected answer: The drop is more pronounced among frequent users. Impact on approach: If segmented, we'd investigate what's unique about the affected group.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes to the metric definition or measurement. Impact on approach: If changed, we'd need to recalibrate our historical data for comparison.
Why it matters: Helps determine if this is a localized issue or a broader trend. Expected answer: The issue appears to be Dubai-specific. Impact on approach: If Dubai-specific, we'd focus on local factors; if widespread, we'd look at system-wide issues.
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