Introduction
To improve Via's dynamic bus routing system efficiency during peak hours, we need to analyze the current system, identify pain points, and propose innovative solutions. I'll focus on understanding user needs, optimizing routes, and leveraging technology to enhance the overall experience.
I'll start by asking clarifying questions, then segment users, analyze pain points, generate solutions, evaluate and prioritize them, and finally propose metrics for measuring success.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the complexity of the routing problem and potential impact of improvements. Expected answer: 500 buses, 100,000 daily riders during peak hours. Impact on approach: Would focus on scalable solutions for large-scale operations.
Why it matters: Influences the balance between predictive routing and real-time adjustments. Expected answer: 60% advance bookings, 40% on-demand. Impact on approach: Would prioritize features that optimize both pre-planned routes and dynamic adjustments.
Why it matters: Identifies key areas for improvement in the user experience. Expected answer: 15-minute average wait time, 80% on-time performance. Impact on approach: Would focus on solutions to reduce wait times and improve reliability.
Why it matters: Determines whether to focus on user acquisition or retention strategies. Expected answer: Established player with 20% market share, 15% year-over-year growth. Impact on approach: Would balance between expanding user base and improving existing user experience.
At this point, I'd like to take a 1-minute break to organize my thoughts before diving into the next step.
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