Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
⌘K
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

City of Toronto

Why has City of Toronto's TTC ridership declined by 15% on weekends compared to the same period last year?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving Strategic Thinking Public Transportation Urban Planning Smart Cities Root Cause Analysis Urban Mobility Public Transit Ridership Metrics
Product Management Root Cause Analysis Question: Investigating public transit weekend ridership decline

Introduction

The Toronto Transit Commission (TTC) is facing a significant challenge with a 15% decline in weekend ridership compared to the same period last year. This issue requires a thorough analysis to identify the root cause and develop effective solutions. I'll approach this problem systematically, examining both internal and external factors that could be contributing to the decline.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Considering the specificity of the decline, I'm wondering about the overall ridership trends. Has there been a general decrease in TTC ridership, or is this isolated to weekends?

Why it matters: This helps determine if we're dealing with a weekend-specific issue or a broader trend. Expected answer: Weekend-specific decline, with weekday ridership remaining stable. Impact on approach: If weekend-specific, we'll focus on factors unique to weekend travel.

  • Given the 15% decline, I'm curious about the absolute numbers. What's the typical weekend ridership volume we're talking about?

Why it matters: Understanding the scale helps prioritize the issue and potential solutions. Expected answer: Approximately 1 million riders on a typical weekend. Impact on approach: Higher numbers would justify more significant interventions.

  • Thinking about recent changes, have there been any major service adjustments or fare increases in the past year?

Why it matters: This could directly impact ridership and user satisfaction. Expected answer: No significant changes to service or fares. Impact on approach: If changes occurred, we'd focus on their impact; if not, we'll look at other factors.

  • Considering external factors, has there been any significant shift in Toronto's weekend activities or events?

Why it matters: Changes in city dynamics could explain ridership shifts. Expected answer: No major changes to weekend events or activities. Impact on approach: If changes occurred, we'd examine their correlation with ridership; if not, we'll focus more on internal factors.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025