What caused the sudden decrease in on-time performance for Via Transportation's microtransit service in Chicago last week?

Introduction

The sudden decrease in on-time performance for Via Transportation's microtransit service in Chicago last week is a critical issue that demands immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.

Our approach will involve clarifying the situation, ruling out external factors, understanding the product and user journey, breaking down the metric, gathering data, forming hypotheses, conducting root cause analysis, and developing a resolution plan. This structured method will ensure we cover all angles and arrive at a comprehensive solution.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be a recent change. Has there been any significant update to the service or app in the past month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was a minor app update two weeks ago. Impact on approach: If yes, we'd focus on the update's impact on the system.

• Considering user segments, I'm curious about the distribution. Is the decrease uniform across all user groups or more pronounced in specific segments?

Why it matters: Helps identify if it's a systemic issue or limited to certain users. Expected answer: The decrease is more significant among frequent users. Impact on approach: If segmented, we'd investigate what's unique about the affected group.

• Thinking about external factors, have there been any notable changes in Chicago's traffic patterns or road conditions recently?

Why it matters: External factors can significantly impact on-time performance. Expected answer: No major changes reported in traffic or road conditions. Impact on approach: If no, we'd focus more on internal factors.

• Regarding system health, has there been any change in how we measure or define "on-time performance" recently?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or definition. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.