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Product Management Root Cause Analysis Question: Investigating sudden increase in Chime SpotMe bank connection failures
Image of author vinay

Vinay

Updated Nov 19, 2024

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Asked at Chime

15 mins

What's causing the sudden 50% increase in failed bank account connections for Chime's SpotMe users?

Data Analysis Problem Solving Technical Understanding Fintech Banking Mobile Apps
User Experience Fintech Root Cause Analysis API Performance Troubleshooting

Introduction

The sudden 50% increase in failed bank account connections for Chime's SpotMe users is a critical issue that demands immediate attention. This problem directly impacts user experience and could potentially affect Chime's reputation and customer retention. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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 timing, I'm wondering if there have been any recent changes to the bank connection process. Have there been any updates to the API or integration systems in the past week?

Why it matters: Recent changes could be the direct cause of the increased failure rate. Expected answer: Yes, there was an API update last week. Impact on approach: If confirmed, we'd focus on the API changes as a primary suspect.

  • Looking at the user segments, I'm curious if this issue is affecting all SpotMe users equally. Are we seeing any patterns in terms of specific banks or user demographics being more affected?

Why it matters: This helps us narrow down whether it's a universal issue or specific to certain user groups or banks. Expected answer: The issue seems more prevalent with users connecting to smaller, regional banks. Impact on approach: We'd investigate the integration process with these specific banks more closely.

  • Considering the current performance metrics, I'm interested in understanding if there have been any changes in the error messages or types of failures we're seeing. Has there been a shift in the distribution of error types compared to our baseline?

Why it matters: Different error types could point to different root causes. Expected answer: Yes, we're seeing an increase in "timeout" errors specifically. Impact on approach: We'd focus on network connectivity and server response times as potential issues.

  • Given the significance of the increase, I'm wondering about any recent marketing campaigns or user growth initiatives. Have we seen a sudden influx of new users trying to connect their bank accounts?

Why it matters: A surge in new users could strain the system and lead to increased failures. Expected answer: There was a successful referral campaign that brought in 30% more new users than usual. Impact on approach: We'd investigate scalability issues and potential system overload.

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