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Product Management Root Cause Analysis Question: Investigating Shopee's electronics average order value decline

Why has the average order value for electronics on Shopee declined by 20% this month compared to last?

Data Analysis Hypothesis Generation Problem-Solving E-commerce Consumer Electronics Online Retail
E-Commerce Data Analysis Root Cause Analysis User Behavior Pricing Strategy

Introduction

The recent 20% decline in average order value (AOV) for electronics on Shopee is a significant issue that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the AOV drop.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into internal product and user behavior aspects. My analysis will culminate in a structured plan to validate hypotheses and implement both short-term fixes and long-term strategies.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • What specific time frame are we comparing to last month?

  • Has there been any change in the product mix or inventory of electronics?

  • Are we seeing this decline across all electronics categories or specific ones?

  • Have there been any recent changes to the platform's UI/UX or pricing algorithms?

  • Is this decline consistent across all user segments or concentrated in specific groups?

  • Have there been any changes in marketing campaigns or promotions for electronics?

Why this matters: Understanding the context and specifics of the AOV decline is crucial for accurate analysis.

Hypothetical answer: The decline is observed across all electronics categories, with a more pronounced effect in high-ticket items. No significant changes were made to the platform or marketing strategies.

Impact on approach: This information would guide us to focus on factors affecting higher-priced items and overall user purchasing behavior rather than category-specific or technical issues.

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