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Product Management RCA Question: Investigating sudden drop in Carousell's electronics transactions success rate

What caused the sudden 50% decrease in successful transactions for electronics items on Carousell's marketplace yesterday?

Data Analysis Problem Solving Technical Understanding E-commerce Fintech Consumer Electronics
User Experience E-Commerce Root Cause Analysis Payment Systems Technical Integration

Introduction

The sudden 50% decrease in successful transactions for electronics items on Carousell's marketplace yesterday is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the platform.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into internal metrics and user behavior. My goal is to pinpoint the root cause and propose actionable solutions to restore transaction success rates.

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 sudden technical glitch. Has there been any recent deployment or system update in the last 48 hours?

Why it matters: Recent changes often correlate with sudden performance drops. Expected answer: Yes, a new payment gateway was integrated yesterday morning. Impact on approach: If confirmed, I'd focus on the payment system integration as a primary suspect.

  • Considering the specificity to electronics, I'm wondering about category-specific issues. Are other product categories experiencing similar declines in transaction success rates?

Why it matters: Helps determine if this is an electronics-specific problem or a broader issue. Expected answer: No, other categories seem unaffected. Impact on approach: If true, I'd investigate electronics-specific features or user behaviors.

  • Given the magnitude of the drop, I'm curious about user feedback. Have there been any spikes in customer support tickets or negative reviews in the last 24 hours?

Why it matters: User feedback often provides early indicators of issues. Expected answer: Yes, there's been a 200% increase in support tickets related to payment failures. Impact on approach: This would guide me to focus on payment-related hypotheses.

  • Thinking about potential data anomalies, has there been any change in how we measure or define "successful transactions" recently?

Why it matters: Ensures we're not dealing with a measurement error rather than an actual problem. Expected answer: No changes in measurement or definition. Impact on approach: If confirmed, I'd focus on actual performance issues rather than data discrepancies.

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