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Product Management Root Cause Analysis Question: Investigating sudden drop in average order value for online grocery platform

Asked at Zepto

15 mins

Why has the average order value for groceries on Zepto dropped by 15% in the past week?

Data Analysis Problem Solving Strategic Thinking E-commerce Grocery Delivery Quick Commerce
E-Commerce Data Analysis Root Cause Analysis Quick Commerce AOV Optimization

Introduction

The recent 15% drop in average order value (AOV) for groceries on Zepto over the past week is a significant concern that requires immediate attention and a thorough analysis. As we delve into this issue, we'll employ a systematic approach to identify potential root causes, validate our hypotheses, and develop both short-term and long-term solutions to address this decline in AOV.

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 seasonal trend. Has there been any significant change in weather patterns or local events in the past week?

Why it matters: Seasonal factors can greatly influence grocery shopping behavior. Expected answer: No significant weather changes or local events. Impact on approach: If confirmed, we'll focus more on internal factors.

  • Considering user segments, I'm curious about the distribution of this AOV drop. Is it uniform across all user segments or more pronounced in specific groups?

Why it matters: Understanding affected segments helps narrow down potential causes. Expected answer: The drop is more significant among frequent users. Impact on approach: We'd prioritize investigating changes affecting loyal customers.

  • Regarding recent changes, have there been any updates to the product catalog, pricing strategy, or promotional activities in the past two weeks?

Why it matters: Recent changes could directly impact user behavior and AOV. Expected answer: A new promotional strategy was implemented. Impact on approach: We'd focus on analyzing the impact of this new strategy.

  • Thinking about technical aspects, has there been any change in how AOV is calculated or reported in our systems?

Why it matters: Ensures we're not dealing with a data anomaly. Expected answer: No changes to AOV calculation or reporting. Impact on approach: Confirms we're dealing with a real behavioral shift.

  • Considering market dynamics, have there been any significant moves by competitors in the past week?

Why it matters: Competitive actions could influence customer behavior. Expected answer: No major competitor actions noted. Impact on approach: We'd focus more on internal factors and user behavior.

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