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

Warby Parker

Why have customer satisfaction scores for Warby Parker's virtual try-on feature declined by 20% since the latest app update?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving User Experience E-commerce Augmented Reality Optical Retail Root Cause Analysis Customer Satisfaction AR Technology App Updates Eyewear E-Commerce
Product Management Root Cause Analysis Question: Investigating decline in virtual try-on feature satisfaction for eyewear retailer

Introduction

The recent 20% decline in customer satisfaction scores for Warby Parker's virtual try-on feature following the latest app update is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address 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 might be related to the app update. Can you confirm when exactly the update was released and when the decline in satisfaction scores began?

Why it matters: Establishes a clear timeline for investigation. Expected answer: The update was released X weeks ago, and scores began declining shortly after. Impact on approach: Helps narrow down potential causes related to the update.

  • I'm curious about the nature of the satisfaction score. Is this an in-app rating, a post-purchase survey, or something else?

Why it matters: Different measurement methods may have different biases or issues. Expected answer: It's an in-app rating prompted after using the virtual try-on feature. Impact on approach: Influences how we interpret the data and potential user behaviors.

  • Considering user segments, have we seen this decline across all demographics, or are certain groups more affected?

Why it matters: Helps identify if the issue is universal or specific to certain user types. Expected answer: The decline is more pronounced among older users or first-time customers. Impact on approach: Guides us to focus on specific user experiences or potential usability issues.

  • I'm wondering about any changes to the virtual try-on technology itself. Were there any updates to the AR capabilities or the underlying algorithms in this release?

Why it matters: Technical changes could directly impact the user experience. Expected answer: Yes, we updated the face-tracking algorithm to improve accuracy. Impact on approach: Directs focus to potential technical issues or unintended consequences of improvements.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025