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Product Management Root Cause Analysis Question: Investigating SnapScan's bill splitting transaction decline

What caused the sudden 30% decrease in successful transactions for SnapScan's in-app bill splitting function last week?

Problem Solving Data Analysis Technical Understanding Fintech Mobile Payments Peer-to-Peer Transactions
User Experience Data Analysis Fintech Root Cause Analysis Transaction Processing

Introduction

The sudden 30% decrease in successful transactions for SnapScan's in-app bill splitting function last week 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 implications for the product.

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

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 related to a recent app update. Has there been any deployment or feature changes in the past two weeks?

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

  • Given the specific 30% drop, I'm wondering if this affects all users equally. Do we see any patterns in affected user segments?

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

  • Considering the nature of bill splitting, I'm curious about transaction volumes. Has there been any unusual spike or drop in overall app usage during this period?

Why it matters: Usage patterns can indicate whether the issue is isolated or part of a broader trend. Expected answer: Overall usage has remained stable. Impact on approach: If confirmed, we'd focus on the bill splitting feature specifically.

  • Thinking about potential technical issues, I'm interested in any backend changes. Have there been any updates to our payment processing systems or integrations?

Why it matters: Backend changes can sometimes cause unexpected issues in seemingly unrelated features. Expected answer: No significant backend changes reported. Impact on approach: If true, we'd shift focus to frontend or user experience factors.

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