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Company focus

Under Armour

What caused the sudden 30% decrease in engagement with Under Armour's MapMyRun app last month?

Prepared by NextSprints

15 mins
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Data Analysis Problem Solving Strategic Thinking Fitness Technology Mobile Apps Wearable Tech Product Strategy User Engagement Data Analysis Root Cause Analysis Fitness Apps
Product Management Root Cause Analysis Question: Investigating sudden drop in fitness app engagement

Introduction

The sudden 30% decrease in engagement with Under Armour's MapMyRun app last month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and its users.

To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors contributing to this significant drop in engagement and propose actionable steps to rectify the situation.

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 seasonal component. Has this decrease been observed in previous years during the same month?

Why it matters: Seasonal patterns could explain the engagement drop and inform our solution approach. Expected answer: No, this decrease is unprecedented for this time of year. Impact on approach: If seasonal, we'd focus on adapting to user behavior changes; if not, we'd investigate other factors.

  • Considering potential technical issues, have there been any recent app updates or server changes that coincide with the engagement drop?

Why it matters: Technical problems often lead to sudden engagement decreases. Expected answer: A major app update was released two weeks before the engagement drop. Impact on approach: If confirmed, we'd prioritize investigating the update's impact on user experience and functionality.

  • Thinking about user segments, is this decrease uniform across all user groups, or are certain segments more affected?

Why it matters: Identifying specific affected groups can narrow down potential causes. Expected answer: The decrease is more pronounced among casual users compared to frequent runners. Impact on approach: We'd focus on understanding why casual users are disengaging and tailor solutions to re-engage this segment.

  • Considering external factors, have there been any significant changes in the fitness app market or competitor actions during this period?

Why it matters: Market dynamics can influence user behavior and engagement. Expected answer: A major competitor launched a new feature that gained significant media attention. Impact on approach: We'd analyze the competitor's offering and consider how to differentiate or improve our own features.

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Updated Jan 22, 2025