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

Pocket FM

Why has the average listening time per session on Pocket FM's audio drama series declined from 45 minutes to 30 minutes in the past two weeks?

Prepared by NextSprints

15 mins
Report an error
Data Analysis Problem Solving User Experience Audio Entertainment Digital Media Mobile Apps User Engagement Product Metrics Root Cause Analysis UI/UX Audio Streaming
Product Management Root Cause Analysis Question: Investigating decline in Pocket FM's audio drama listening time

Introduction

The recent decline in average listening time per session for Pocket FM's audio drama series from 45 minutes to 30 minutes over the past two weeks is a concerning trend that requires immediate attention. This 33% drop in engagement could significantly impact user retention, content monetization, and overall platform growth. I'll approach this issue systematically, focusing on identifying potential root causes, 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 product update. Has there been any significant change to the app's UI or content recommendation algorithm 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 prioritize investigating the UI changes and their effects on user engagement.

  • Given the specific 45 to 30-minute change, I'm curious about the content itself. Has there been any shift in the average length or structure of audio drama episodes recently?

Why it matters: Content changes could explain the shift in listening time. Expected answer: No significant changes to content length or structure. Impact on approach: If content hasn't changed, we'd focus more on user behavior and technical issues.

  • Considering user segments, I'm wondering if this decline is uniform across all user groups. Do we see any differences in this trend between new and long-term users?

Why it matters: Different impacts on user segments could point to specific issues. Expected answer: The decline is more pronounced among newer users. Impact on approach: We'd investigate onboarding processes and the new user experience more closely.

  • Thinking about external factors, has there been any significant change in marketing strategies or user acquisition channels in the past month?

Why it matters: Changes in user acquisition could bring in a different user demographic. Expected answer: No major changes in marketing or acquisition strategies. Impact on approach: We'd focus more on internal factors and existing user behavior.

Subscribe to access the full answer

Image of author NextSprints

NextSprints

Updated Jan 22, 2025