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

Odoo

Why has the average session duration for Odoo's e-commerce platform decreased by 25% in the last two weeks?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem-Solving User Experience Design E-commerce SaaS Enterprise Software User Experience Performance Optimization Root Cause Analysis E-Commerce Metrics Odoo
Product Management Root Cause Analysis Question: Investigating decreased e-commerce platform engagement for Odoo

Introduction

The recent 25% decrease in average session duration for Odoo's e-commerce platform over the past two weeks is a significant issue that demands immediate attention. This metric is crucial for understanding user engagement and overall platform performance. To address this problem, I'll employ a systematic approach to identify, validate, and resolve 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 there might have been a recent platform update. Has there been any significant change to the e-commerce platform in the last month?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was a UI refresh two weeks ago. Impact on approach: If confirmed, we'd focus on UI/UX issues in our analysis.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 25% drop consistent across all user types, or is it more pronounced in specific segments?

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decrease is more significant among mobile users. Impact on approach: We'd prioritize mobile-specific factors in our investigation.

  • Given the metric in question, I'm wondering about other related metrics. Have you noticed any changes in conversion rates or cart abandonment during this period?

Why it matters: Correlations between metrics can provide valuable insights. Expected answer: Cart abandonment has increased by 15%. Impact on approach: We'd explore the relationship between session duration and cart abandonment.

  • Thinking about external factors, has there been any significant change in marketing campaigns or traffic sources in the last two weeks?

Why it matters: Changes in user acquisition can affect overall engagement metrics. Expected answer: No major changes in marketing efforts. Impact on approach: We'd focus more on internal factors rather than user acquisition changes.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Mar 29, 2025