What factors are causing the sudden spike in failed transactions on Moniepoint's mobile app over the past week?

Introduction

The sudden spike in failed transactions on Moniepoint's mobile app over the past week is a critical issue that demands immediate attention. As we analyze this product problem, we'll follow a systematic framework to identify, validate, and address the root cause while considering both immediate and long-term implications.

I'll approach this issue by first clarifying key details, ruling out external factors, and then diving deep into the product's user journey and metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan for validation and resolution.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent app update. Has there been any significant changes or updates to the app in the past two weeks?

Why it matters: Recent changes often correlate with performance issues. Expected answer: Yes, there was an update last week. Impact on approach: If confirmed, we'd focus on changes introduced in the update.

• Considering user segments, I'm curious about the distribution of failed transactions. Are we seeing this issue across all user segments or is it concentrated in specific groups?

Why it matters: Helps narrow down potential causes and affected users. Expected answer: The issue is more prevalent among Android users. Impact on approach: We'd investigate Android-specific factors if this is the case.

• Given the nature of financial transactions, I'm wondering about any changes in the backend systems. Have there been any modifications to the payment processing infrastructure recently?

Why it matters: Backend changes can significantly impact transaction success rates. Expected answer: No major changes to the backend. Impact on approach: If true, we'd focus more on app-level or user-facing issues.

• Thinking about external factors, has there been any unusual spike in transaction volume or changes in user behavior patterns?

Why it matters: Unexpected load or behavior changes can strain systems. Expected answer: Transaction volume has been within normal ranges. Impact on approach: If confirmed, we'd look more closely at internal factors.