Introduction
A 50% drop in daily Uber rides is a critical issue that demands immediate attention and a thorough analysis. This significant decrease could have far-reaching implications for Uber's business model, user satisfaction, and market position. I'll approach this problem systematically, considering various factors that could contribute to such a drastic decline in ride volume.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why these questions matter: Understanding the context and specifics of the decline is crucial for accurate diagnosis. The answers will guide our hypothesis formation and data analysis.
Hypothetical answers:
- The drop occurred over the past week, relatively suddenly.
- The decline seems to be across all user segments but more pronounced in urban areas.
- A new surge pricing algorithm was implemented two weeks ago.
- No significant geographical patterns have been identified yet.
- There's been some negative social media chatter about longer wait times.
- Competitors haven't reported similar declines.
Impact on solution approach: These answers would focus our investigation on recent changes, urban-specific factors, and potential issues with the new pricing algorithm.
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