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

NextSprints
NextSprints Icon NextSprints Logo
⌘K
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

Gopuff

Why has Gopuff's alcohol delivery service seen a 30% drop in orders over the past month?

Prepared by NextSprints

12 mins
Report an error
Data Analysis Problem-Solving Strategic Thinking Food Delivery E-commerce Alcohol Retail Data Analytics Root Cause Analysis Competitive Analysis User Behavior UI/UX
Product Management Root Cause Analysis Question: Investigating sudden decline in Gopuff's alcohol delivery orders

Introduction

Gopuff's 30% drop in alcohol delivery orders over the past month is a significant issue that requires immediate attention. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the 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 there might be a seasonal component. Has this drop coincided with any particular events or time of year?

Why it matters: Seasonal trends can significantly impact alcohol consumption patterns. Expected answer: No significant seasonal events during this period. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and cyclical strategies.

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

Why it matters: Identifying affected segments helps pinpoint targeted solutions. Expected answer: The drop is more pronounced among younger users (21-30). Impact on approach: We'd focus on understanding and addressing the needs of this specific demographic.

  • Thinking about recent changes, have there been any updates to the app, pricing, or delivery processes in the last 1-2 months?

Why it matters: Recent changes could directly correlate with the order decline. Expected answer: A new UI was implemented for the alcohol section three weeks ago. Impact on approach: We'd investigate the impact of this UI change on user behavior and conversion rates.

  • Regarding competition, has there been any significant movement from competitors in the alcohol delivery space recently?

Why it matters: Competitive pressures could be drawing customers away. Expected answer: A new competitor launched with aggressive promotions last month. Impact on approach: We'd analyze our competitive positioning and consider strategic responses.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025