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Company focus

GoMetro

What's causing the sudden 30% increase in customer support tickets related to GoMetro's real-time transit tracking functionality?

Prepared by NextSprints

15 mins
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Problem Solving Data Analysis User Journey Mapping Transportation Smart Cities Mobile Apps User Experience Product Metrics Root Cause Analysis Data Integration Transit Tech
Product Management Root Cause Analysis Question: Investigating sudden increase in support tickets for transit tracking app

Introduction

The sudden 30% increase in customer support tickets related to GoMetro's real-time transit tracking functionality is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, user journey, and potential internal causes. We'll generate data-driven hypotheses, conduct root cause analysis, and propose a structured plan for validation and resolution.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • What's the typical volume of support tickets for this feature, and over what timeframe did we observe the 30% increase?

  • Are there specific user segments or geographic areas more affected than others?

  • Have we recently rolled out any updates to the real-time tracking feature or related systems?

  • Are there any changes in our data providers or transit partners that coincide with this increase?

  • Has there been any shift in how we categorize or measure support tickets?

Why these questions matter: Understanding the context and scope of the issue is crucial for accurate analysis. The answers will help us focus our investigation and rule out potential red herrings.

Hypothetical answers:

  • Typical volume: 1000 tickets/week; increase observed over the past two weeks
  • Urban areas showing a higher percentage increase
  • Minor UI update rolled out three weeks ago
  • No known changes with data providers or transit partners
  • Ticket categorization remains unchanged

Impact on approach: These answers would guide us to focus on recent product changes, urban-specific issues, and potential data accuracy problems in high-density areas.

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Updated Nov 16, 2024