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Product Management Root Cause Analysis Question: Investigating PayPal's failed transactions spike in Europe

Asked at PayPal

15 mins

What's causing the sudden increase in failed transactions for PayPal-to-PayPal transfers in Europe?

Data Analysis Problem-Solving Technical Understanding Fintech E-commerce Banking
Data Analysis Fintech Root Cause Analysis Payment Systems Problem-Solving

Introduction

The sudden increase in failed transactions for PayPal-to-PayPal transfers in Europe presents 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, metric breakdown, and data analysis. From there, I'll generate and validate hypotheses, conduct a thorough root cause analysis, and propose a comprehensive resolution plan.

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 scope, I'm thinking this might be a regional issue. Is the increase in failed transactions limited to specific countries within Europe, or is it widespread across the continent?

Why it matters: Identifying geographical patterns could point to localized technical issues or regulatory changes. Expected answer: The issue is widespread across Europe. Impact on approach: If localized, we'd focus on country-specific factors; if widespread, we'd look at pan-European issues.

  • Considering the timing, I'm wondering about recent changes. Have there been any significant updates to the PayPal platform or infrastructure in Europe within the last month?

Why it matters: Recent changes often correlate with performance issues. Expected answer: A minor update was rolled out two weeks ago. Impact on approach: If there were recent changes, we'd prioritize investigating those; if not, we'd look at external factors or gradual degradation.

  • Thinking about user segments, I'm curious about the impact distribution. Are we seeing this increase across all user types (personal, business) or is it concentrated in a particular segment?

Why it matters: Different user segments might interact with the system differently or be affected by specific issues. Expected answer: The issue is more prevalent among personal accounts. Impact on approach: If segment-specific, we'd focus on unique characteristics of that segment; if universal, we'd look at core system issues.

  • Considering the metric itself, I'm wondering about its stability. Has there been any change in how we define or measure "failed transactions" in our systems recently?

Why it matters: Ensures we're not dealing with a data anomaly rather than an actual increase in failures. Expected answer: No recent changes to the metric definition or measurement. Impact on approach: If changed, we'd need to validate the data first; if unchanged, we can trust the reported increase.

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