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Product Management Root Cause Analysis Question: Investigating mobile app session duration decline for an e-learning platform
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Nextsprints

Updated Jan 22, 2025

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Why has the average session duration on Thinkific's mobile app declined by 25% in the last two weeks, particularly for iOS users?

Data Analysis Problem Solving Technical Understanding EdTech SaaS Mobile Apps
User Retention Root Cause Analysis EdTech Mobile App Engagement IOS Optimization

Introduction

The recent 25% decline in average session duration on Thinkific's mobile app, particularly for iOS users, over the past two weeks is a critical issue that demands immediate attention. This significant drop in user engagement could have far-reaching implications for user retention, course completion rates, and overall platform success. To address this challenge, 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 app update. Has there been any iOS app update released in the last 2-3 weeks?

Why it matters: Recent updates often introduce bugs or UI changes that can impact user behavior. Expected answer: Yes, an update was released 2.5 weeks ago. Impact on approach: If confirmed, we'd focus on changes introduced in that update.

  • Considering the specificity to iOS, I'm wondering about potential iOS-specific issues. Have we seen any changes in iOS version distribution among our users recently?

Why it matters: New iOS versions can sometimes cause compatibility issues with existing apps. Expected answer: There's been a significant uptick in iOS 16 adoption. Impact on approach: We'd investigate potential compatibility issues with the latest iOS version.

  • Given the focus on session duration, I'm curious about changes in user behavior. Has there been any shift in the types of courses or content being accessed most frequently?

Why it matters: Changes in content popularity could affect how users interact with the app. Expected answer: There's been an increase in short-form content consumption. Impact on approach: We'd explore how content type affects session duration and consider UI optimizations.

  • Thinking about external factors, I'm wondering about any marketing campaigns or promotions. Have there been any significant user acquisition efforts in the past month?

Why it matters: New user cohorts often behave differently than established users. Expected answer: A major promotion targeting new users was launched three weeks ago. Impact on approach: We'd segment data to compare new vs. existing user behavior.

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