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Product Management Root Cause Analysis Question: Investigating sudden e-commerce checkout conversion rate drop

Asked at Sea

15 mins

What caused the sudden 30% decrease in Sea's Shopee checkout conversion rate over the weekend?

Data Analysis Problem-Solving Technical Understanding E-commerce Retail Digital Payments
User Experience E-Commerce Conversion Optimization Data Analysis Root Cause Analysis

Introduction

The sudden 30% decrease in Sea's Shopee checkout conversion rate over the weekend is a critical issue that demands immediate attention. This significant drop in a key performance metric could have far-reaching implications for the business, affecting revenue, user satisfaction, and market position. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.

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 weekend-specific issue. Can you confirm if this drop was observed only during the weekend or if it persisted into the following week?

Why it matters: Understanding the duration helps determine if it's a temporary glitch or a more persistent problem. Expected answer: The issue was limited to the weekend. Impact on approach: If limited to the weekend, we'd focus on weekend-specific factors; if ongoing, we'd consider broader systemic issues.

  • Given the magnitude of the drop, I'm wondering about recent changes. Were there any significant updates to the checkout process or related systems in the days leading up to this incident?

Why it matters: Recent changes are often the culprit in sudden performance drops. Expected answer: A minor UI update was pushed on Friday. Impact on approach: If changes were made, we'd prioritize investigating those specific updates.

  • Considering user segments, I'm curious if this affected all users equally. Do we have data on whether this impacted new users differently from returning customers?

Why it matters: Different impacts on user segments could point to specific areas of the checkout process. Expected answer: The impact was more severe for new users. Impact on approach: If new users were more affected, we'd focus on onboarding and first-time user experience in the checkout process.

  • Thinking about external factors, have there been any reported issues with payment gateways or other third-party services integrated into our checkout process?

Why it matters: Third-party service disruptions can significantly impact checkout conversion rates. Expected answer: No reported issues from payment partners. Impact on approach: If no external issues, we'd focus more on internal factors; otherwise, we'd coordinate with affected partners.

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