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Product Management Root Cause Analysis Question: Investigating sudden increase in failed transactions for PalmPay's money transfer service

What's causing the sudden increase in failed transactions for PalmPay's peer-to-peer money transfer service?

Problem-Solving Data Analysis Technical Understanding Fintech Digital Payments Mobile Banking
Data Analysis Fintech Root Cause Analysis System Optimization Transaction Processing

Introduction

The sudden increase in failed transactions for PalmPay's peer-to-peer money transfer service 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 key details, ruling out external factors, and then diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll generate and validate hypotheses, conduct 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 timing, I'm thinking this could be a recent change. When exactly did you first notice the increase in failed transactions?

Why it matters: Pinpointing the timeframe helps narrow down potential causes. Expected answer: Within the last week or two. Impact on approach: A sudden spike suggests a specific trigger rather than gradual degradation.

  • Considering user segments, I'm wondering if this is widespread. Are all user groups equally affected, or is it concentrated in specific demographics or regions?

Why it matters: Helps identify if it's a systemic issue or limited to certain user groups. Expected answer: It's affecting users across all segments, but more pronounced in high-volume users. Impact on approach: If widespread, focus on core system issues; if segmented, investigate user-specific factors.

  • Given the nature of peer-to-peer transfers, I'm curious about transaction patterns. Has there been any unusual spike in transaction volume or average transaction size recently?

Why it matters: Unusual activity could strain the system or trigger security measures. Expected answer: Transaction volumes have been steady, but average transaction size has increased slightly. Impact on approach: If volumes are normal, focus on transaction processing; if spiked, investigate capacity issues.

  • Thinking about recent changes, I'm wondering about system updates. Have there been any recent deployments, even seemingly unrelated ones, that coincide with the increase in failures?

Why it matters: Often, seemingly unrelated changes can have unforeseen consequences. Expected answer: A minor update to the user interface was deployed last week. Impact on approach: If recent changes exist, prioritize investigating their potential impact.

  • Considering the complexity of financial transactions, I'm curious about third-party integrations. Have there been any changes or issues reported with payment processors or banking partners?

Why it matters: External dependencies can significantly impact transaction success rates. Expected answer: No reported issues from partners, but we haven't explicitly checked with all of them. Impact on approach: If partner issues are possible, include outreach and verification in the plan.

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