How might we improve the reliability of estimated arrival times for long-distance trips on Blablacar?

Introduction

To improve the reliability of estimated arrival times for long-distance trips on Blablacar, we need to address several key aspects of the service. I'll outline my approach to tackle this challenge, focusing on user needs, data analysis, and technological solutions.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking about the current accuracy of arrival time estimates. Could you share some data on the average deviation between estimated and actual arrival times for long-distance trips?

Why it matters: This helps quantify the problem and set benchmarks for improvement. Expected answer: Average deviation of 30-45 minutes for trips over 300 km. Impact on approach: Would focus on reducing this deviation by at least 50%.

• Considering user behavior, I'm curious about the most common factors causing delays in long-distance trips. What are the top reasons reported by drivers for arrival time discrepancies?

Why it matters: Identifies key areas to address in our solution. Expected answer: Traffic congestion, unscheduled stops, and inaccurate route planning. Impact on approach: Would prioritize real-time traffic data integration and improved route optimization.

• Regarding product lifecycle, where does Blablacar stand in terms of market penetration for long-distance trips? Are we looking to expand our user base or improve retention of existing users?

Why it matters: Determines if we focus on acquisition or retention strategies. Expected answer: Strong market presence, now focusing on user retention and trip frequency. Impact on approach: Would emphasize features that increase user satisfaction and trip reliability.

• Considering company alignment, what are the key performance indicators (KPIs) that management is most interested in improving through this initiative?

Why it matters: Ensures our solution aligns with broader business objectives. Expected answer: User satisfaction scores, repeat booking rates, and platform reliability metrics. Impact on approach: Would design solutions that directly impact these KPIs.