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

Meesho

What caused the sudden 30% decrease in order completion rates for fashion accessories on Meesho in the last 24 hours?

Prepared by NextSprints

12 mins
Report an error
Data Analysis Problem Solving User Experience Design E-commerce Fashion Online Retail User Experience E-Commerce Conversion Optimization Data Analysis Root Cause Analysis
Product Management RCA Question: Analyzing sudden drop in Meesho's fashion accessories order completion rates

Introduction

The sudden 30% decrease in order completion rates for fashion accessories on Meesho in the last 24 hours 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 could be a recent change. Has there been any product update or feature release in the past 48 hours?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a new UI for the checkout process was implemented. Impact on approach: If confirmed, we'd focus on the new UI's impact on user behavior.

  • Considering the specificity of the issue, I'm wondering about segmentation. Is this decrease uniform across all user segments or more pronounced in certain groups?

Why it matters: Helps identify if it's a universal issue or specific to certain user types. Expected answer: The decrease is more significant among first-time buyers. Impact on approach: We'd investigate factors affecting new users' purchase decisions.

  • Given the magnitude of the change, I'm curious about any external events. Have there been any significant market events or competitor actions in the last 24-48 hours?

Why it matters: External factors can sometimes explain sudden shifts in user behavior. Expected answer: No major external events noted. Impact on approach: We'd focus more on internal factors and user experience issues.

  • Considering potential technical issues, I'm wondering about system performance. Have there been any reported server issues or app crashes during this period?

Why it matters: Technical problems can directly impact order completion rates. Expected answer: Some intermittent server slowdowns were reported. Impact on approach: We'd investigate the correlation between server performance and order completion rates.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Dec 3, 2024