Introduction
The recent 15% drop in daily active users (DAU) for Blis's Smart Platform over the past month 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, considering both short-term fixes and long-term strategic implications.
Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a comprehensive examination of potential causes, data analysis, hypothesis formation, and ultimately, a plan for resolution and future prevention.
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: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in DAU definition or measurement. Impact on approach: If changed, we'd need to recalibrate our analysis baseline.
Why it matters: Helps pinpoint potential internal causes for the DAU drop. Expected answer: A minor UI update was rolled out three weeks ago. Impact on approach: Would focus initial investigation on the impact of this update.
Why it matters: Provides context on whether this is an isolated issue or part of a broader trend. Expected answer: Slight decrease in session duration noted. Impact on approach: Would investigate correlation between session duration and DAU.
Why it matters: Helps narrow down potential causes and target our investigation. Expected answer: Mobile users in North America show a higher drop rate. Impact on approach: Would prioritize analysis of mobile experience and regional factors.
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