Introduction
The recent 15% drop in daily active users (DAU) for LTI's Mosaic AI platform is a significant concern that requires immediate attention and a thorough root cause analysis. This decline in user engagement could have far-reaching implications for the platform's growth trajectory and overall success. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the underlying causes while considering both short-term fixes and long-term strategic implications.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the distribution of the decline helps focus our investigation. Expected answer: The decline is more pronounced among enterprise users. Impact on approach: If true, we'd prioritize enterprise-specific factors in our analysis.
Why it matters: Recent changes could directly impact user behavior and engagement. Expected answer: A new AI model was deployed last month. Impact on approach: We'd need to closely examine the performance and user reception of this new model.
Why it matters: Data quality is crucial for AI performance and user trust. Expected answer: No significant changes in data sources, but there were updates to data processing algorithms. Impact on approach: We'd focus on validating the impact of these algorithm changes on output quality.
Why it matters: Competitive actions could be drawing users away from Mosaic AI. Expected answer: A competitor introduced a freemium model with advanced features. Impact on approach: We'd need to assess our value proposition and pricing strategy.
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