Introduction
The sudden drop in driver retention in a specific city is a critical issue that demands immediate attention. This problem could significantly impact our service quality, user experience, and overall market position. I'll approach this systematically, diving deep into potential root causes while considering both internal and external factors.
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: Seasonal factors could explain temporary fluctuations. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on annual retention strategies.
Why it matters: Different segments may require tailored solutions. Expected answer: Part-time drivers are more affected. Impact on approach: We'd prioritize part-time driver retention strategies.
Why it matters: Internal changes could be the root cause. Expected answer: Recent change in payment structure. Impact on approach: We'd review and potentially revise the new policy.
Why it matters: External factors could be driving the trend. Expected answer: New competitor entered the market recently. Impact on approach: We'd focus on competitive analysis and differentiation.
Why it matters: Ensures we're not chasing a data anomaly. Expected answer: No changes in measurement or definition. Impact on approach: Confirms the issue is real and not a data artifact.
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