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Product Management Root Cause Analysis Question: Investigating sudden increase in mobile banking app support tickets
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Nextsprints

Updated Jan 22, 2025

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How can we explain the sudden increase in customer support tickets related to Silicon Valley Bank's mobile app payment transfers in the last two weeks?

Problem Solving Data Analysis Technical Understanding Banking Financial Services Technology
Data Analysis Root Cause Analysis Mobile Banking Customer Support FinTech

Introduction

The sudden increase in customer support tickets related to Silicon Valley Bank's mobile app payment transfers in the last two weeks 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 implications for the product and its users.

Framework overview

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

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a recent app update. Has there been any significant changes or updates to the mobile app in the past month?

Why it matters: Recent changes could directly impact user experience and app functionality. Expected answer: Yes, there was an update two weeks ago. Impact on approach: If confirmed, we'd focus on changes introduced in the update.

  • Considering the specificity of the issue, I'm wondering about the nature of these tickets. What are the most common complaints or issues reported in these support tickets?

Why it matters: Understanding the specific problems users are facing helps narrow down potential causes. Expected answer: Users are reporting failed transfers or delayed processing times. Impact on approach: This would guide our technical investigation and user journey analysis.

  • Given the sudden increase, I'm curious about the scale. Can you provide more context on the magnitude of this increase in support tickets?

Why it matters: The scale of the problem helps prioritize our response and resource allocation. Expected answer: A 200% increase in tickets compared to the previous month. Impact on approach: A significant increase would warrant a more urgent and comprehensive response.

  • Thinking about user segments, I'm wondering if this is widespread. Are these issues affecting all users equally, or are there specific user segments more impacted?

Why it matters: Identifying patterns in affected users could point to specific causes or vulnerabilities. Expected answer: The issue seems to affect users with older devices more frequently. Impact on approach: This would focus our investigation on compatibility issues with certain device types or OS versions.

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