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Company focus

BMC Software

How can we explain the sudden 30% decrease in active daily users of BMC Control-M's mobile app over the last 2 weeks?

Prepared by NextSprints

15 mins
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Data Analysis Problem-Solving User Behavior Understanding IT Management Enterprise Software Cloud Computing User Retention Root Cause Analysis Mobile App Engagement IT Operations BMC Software
Product Management Root Cause Analysis Question: Investigating sudden drop in BMC Control-M mobile app daily active users

Introduction

The sudden 30% decrease in active daily users of BMC Control-M's mobile app over the last 2 weeks is a critical issue that demands immediate attention. This significant drop in user engagement could have far-reaching implications for the product's success and overall business performance. To address this problem, 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 significant change or update to the BMC Control-M mobile app in the past month?

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

  • Considering the severity of the drop, I'm wondering about potential technical issues. Have there been any reported server outages or performance degradation in the last two weeks?

Why it matters: Technical problems could explain sudden user drop-off. Expected answer: No major outages, but some intermittent slowdowns reported. Impact on approach: We'd investigate the extent and impact of these slowdowns on user experience.

  • Given the mobile nature of the app, I'm curious about platform-specific trends. Is the 30% decrease consistent across both iOS and Android platforms?

Why it matters: Platform-specific issues could point to different root causes. Expected answer: The decrease is more pronounced on Android (40%) compared to iOS (20%). Impact on approach: We'd prioritize investigating Android-specific issues while not neglecting iOS.

  • Thinking about user segments, I'm wondering if this affects all user types equally. Can we break down the decrease by user roles or job functions?

Why it matters: Different user segments may be affected differently, indicating specific feature or use-case issues. Expected answer: The decrease is more significant among IT operations users compared to developers. Impact on approach: We'd focus on understanding the specific needs and pain points of IT operations users.

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Updated Jan 22, 2025