Introduction
The sudden 15% drop in Slack's mobile app daily active users over the past week 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 Slack's mobile strategy.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent updates often introduce bugs or UI changes that can impact user engagement. Expected answer: Yes, there was an update released 10 days ago. Impact on approach: If confirmed, I'd focus on analyzing the changes in that update and user feedback since its release.
Why it matters: Uneven impact could point to specific user needs or technical issues affecting particular devices or regions. Expected answer: The drop is more pronounced among enterprise users, especially on Android devices. Impact on approach: I'd prioritize investigating enterprise-specific features and Android performance issues.
Why it matters: Metric definition changes or reporting errors could lead to false alarms. Expected answer: No changes in measurement or reporting methods. Impact on approach: This would rule out data integrity issues and focus our investigation on actual user behavior changes.
Why it matters: External events can sometimes cause rapid shifts in user behavior across multiple platforms. Expected answer: No major external events, but a competitor launched a new feature last week. Impact on approach: I'd investigate whether this new competitive feature is drawing users away from Slack's mobile app.
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