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Product Management Root Cause Analysis Question: Investigating sudden spike in failed transactions for Kuda Bank debit cards

What's causing the sudden increase in failed transactions on the Kuda Bank debit card?

Data Analysis Problem Solving Technical Understanding Fintech Banking Digital Payments
Data Analysis Fintech Root Cause Analysis Troubleshooting Transaction Processing

Introduction

The sudden increase in failed transactions on the Kuda Bank debit card is a critical issue that demands immediate attention. This problem directly impacts user experience, trust, and the bank's bottom line. I'll approach this analysis systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes 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)

  • Looking at the timing, I'm thinking this might be a recent issue. When exactly did you first notice the increase in failed transactions?

Why it matters: Helps pinpoint potential triggers and narrows the investigation timeframe. Expected answer: Within the last week or two. Impact on approach: Recent changes would be prioritized in the investigation.

  • Considering user segments, I'm wondering if this affects all users equally. Are there any patterns in terms of user demographics, transaction types, or geographical locations?

Why it matters: Identifies if the issue is systemic or limited to specific user groups. Expected answer: Possibly higher failure rates for international transactions or specific merchant categories. Impact on approach: Would focus on affected segments and relevant system components.

  • Given the nature of the problem, I'm curious about the current failure rate. What's the percentage increase in failed transactions compared to your baseline?

Why it matters: Quantifies the severity of the issue and helps prioritize resources. Expected answer: A significant increase, perhaps 20-30% above normal. Impact on approach: Higher percentages would indicate a more urgent, systemic problem.

  • Thinking about recent changes, have there been any updates to the card processing system, fraud detection algorithms, or third-party integrations?

Why it matters: Identifies potential internal triggers for the issue. Expected answer: A recent update to the fraud detection system or a new payment processor integration. Impact on approach: Would focus investigation on recent changes and their impacts.

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