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

Dream11

Why has the average time spent on Dream11's mobile app declined from 45 minutes to 30 minutes per session in the past two weeks?

Prepared by NextSprints

12 mins
Report an error
Data Analysis Problem Solving Product Strategy Gaming Sports Technology Mobile Applications User Engagement Data Analysis Root Cause Analysis Mobile Apps Fantasy Sports
Product Management Root Cause Analysis Question: Investigating Dream11 mobile app session time decrease

Introduction

The recent decline in average session time on Dream11's mobile app from 45 to 30 minutes is a concerning trend that requires immediate attention. As we analyze this issue, we'll employ a systematic approach to 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 there might be a recent app update. Has there been any significant changes to the app in the last month?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, there was an update two weeks ago. Impact on approach: If confirmed, we'd focus on changes introduced in the update.

  • Considering user segments, I'm curious about the distribution. Is this decline uniform across all user types or more pronounced in specific segments?

Why it matters: Helps identify if it's a global issue or specific to certain users. Expected answer: The decline is more significant among casual users. Impact on approach: We'd investigate factors affecting casual users more heavily.

  • Given the nature of Dream11, I'm wondering about the sports calendar. Have there been any changes in the frequency or types of sports events available?

Why it matters: Event availability directly impacts engagement. Expected answer: No significant changes in the sports calendar. Impact on approach: We'd look more closely at internal factors if the content hasn't changed.

  • Thinking about technical aspects, has there been any change in how session time is measured or reported?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: Confirms the issue is with actual usage, not data collection.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025