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

Supercell

Why has the average session length for Brawl Stars players decreased from 25 minutes to 18 minutes in the last month?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving Strategic Thinking Mobile Gaming Esports Entertainment Product Strategy User Engagement Mobile Gaming Metrics Analysis Root Cause Analysis
Product Management Root Cause Analysis Question: Investigating decreased session length in Brawl Stars mobile game

Introduction

The recent decrease in average session length for Brawl Stars players from 25 minutes to 18 minutes over the last month is a significant concern that requires immediate attention. This 28% drop in engagement could have far-reaching implications for player retention, monetization, and overall game health. I'll approach this issue systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.

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 update. Has there been any significant game update or feature release in the past month?

Why it matters: Updates can significantly impact player behavior. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on the update's content and player reception.

  • Considering user segments, I'm curious about the distribution. Has this decrease been uniform across all player segments, or are certain groups more affected?

Why it matters: Helps identify if the issue is global or segment-specific. Expected answer: The decrease varies across segments. Impact on approach: If varied, we'd prioritize investigating the most affected segments.

  • Regarding performance metrics, I'm wondering about other engagement indicators. Have we seen similar declines in daily active users or match participation rates?

Why it matters: Provides context on whether this is an isolated metric issue or a broader engagement problem. Expected answer: Other metrics have remained stable. Impact on approach: If isolated, we'd focus on session-specific factors rather than overall game appeal.

  • Thinking about external factors, I'm considering competitive releases. Have any major competing games launched or had significant updates in this timeframe?

Why it matters: External competition can draw players away or change gaming habits. Expected answer: No significant competitive changes. Impact on approach: If no, we'd focus more on internal factors and game-specific issues.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Dec 2, 2024