Student pricing is available for eligible university email holders. View plans

NextSprints
NextSprints Icon NextSprints Logo
Product Design

Master the art of designing products

Product Improvement

Identify scope for excellence

Product Success Metrics

Learn how to define success of product

Product Root Cause Analysis

Ace root cause problem solving

Product Trade-Off

Navigate trade-offs decisions like a pro

All Questions

Explore all questions

Meta (Facebook) PM Interview Course

Practice Meta-focused PM cases

Amazon PM Interview Course

Practice Amazon-focused PM cases

Apple PM Interview Course

Practice Apple-focused PM cases

Google PM Interview Course

Practice Google-focused PM cases

Microsoft PM Interview Course

Practice Microsoft-focused PM cases

All Courses

Explore all courses

1:1 PM Coaching

Practice in a one-to-one session

Resume Review

Narrate impactful stories via resume

Guides Pricing
nextsprints logo

Not a member?

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement.

nextsprints logo

Register to continue.

Login with Google Login with LinkedIn

By proceeding, you agree to our Terms of Use and confirm you have read our Privacy and Cookie Statement .

Company focus

Zalando

Why has the average order value for beauty products on Zalando declined by 20% since the new app update?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem-Solving User Experience Design E-commerce Beauty Fashion User Experience E-Commerce Root Cause Analysis App Performance AOV
Product Management Root Cause Analysis Question: Investigating Zalando's beauty product average order value decline after app update

Introduction

The decline in average order value (AOV) for beauty products on Zalando by 20% since the new app update is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

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 the app update might be directly related. Can you confirm when exactly the new app update was released?

Why it matters: Establishes a clear timeline for the issue. Expected answer: A specific date within the last few months. Impact on approach: Helps narrow down potential causes related to the update.

  • Considering user segments, I'm wondering if this decline is uniform across all customer types. Have you noticed any differences in AOV decline between new and returning customers?

Why it matters: Identifies if the issue is widespread or specific to certain user groups. Expected answer: Variation in impact between user segments. Impact on approach: Guides focus on specific user experiences or broader app functionality.

  • Given the specificity of the decline, I'm curious about our measurement accuracy. Has there been any change in how we calculate or track AOV recently?

Why it matters: Ensures the observed decline is real and not a result of measurement errors. Expected answer: No changes in AOV calculation methods. Impact on approach: If changes occurred, it would shift focus to data integrity issues.

  • Thinking about product mix, has there been any significant change in the beauty product catalog or pricing strategy coinciding with the app update?

Why it matters: Helps distinguish between app-related issues and product offering changes. Expected answer: Information on any major catalog or pricing changes. Impact on approach: Would help determine if the root cause is UI/UX related or tied to product strategy.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Nov 25, 2024