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Product Management Root Cause Analysis Question: Investigating sudden drop in Confluence Cloud daily active users

What caused the sudden 30% decrease in Confluence Cloud's daily active users last week?

Data Analysis Problem Solving Product Strategy SaaS Enterprise Software Productivity Tools
User Engagement Collaboration Tools Root Cause Analysis SaaS Metrics Atlassian

Introduction

The sudden 30% decrease in Confluence Cloud's daily active users last week is a critical issue that demands immediate attention and thorough analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications for our product and users.

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 this could be related to a recent product update. Have there been any significant changes or releases to Confluence Cloud in the past two weeks?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, a major update was released. Impact on approach: If yes, we'd focus on the update's features and potential bugs.

  • Considering the magnitude of the decrease, I'm wondering about the distribution across user segments. Has the 30% drop been consistent across all user types, or are certain segments more affected?

Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decrease is more pronounced in enterprise users. Impact on approach: If segmented, we'd prioritize investigating the most affected group.

  • Given that we're dealing with daily active users, I'm curious about the retention patterns. Has there been a change in the frequency of user logins or the duration of sessions?

Why it matters: Distinguishes between user churn and reduced engagement. Expected answer: Users are logging in less frequently. Impact on approach: If login frequency has changed, we'd focus on factors affecting user motivation to access the platform.

  • Considering potential external factors, I'm thinking about any recent changes in the competitive landscape. Have there been any significant announcements or releases from our main competitors in the past month?

Why it matters: External events can influence user behavior and preferences. Expected answer: A competitor launched a new feature last week. Impact on approach: If yes, we'd analyze the competitive offering and its potential impact on our user base.

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