Introduction
The recent 20% decrease in average time spent on Asana's mobile app following the latest update is a concerning trend that requires immediate attention. As we dive into this product root cause analysis, we'll systematically examine potential factors, generate data-driven hypotheses, and develop a comprehensive plan to address the issue. Our approach will balance short-term fixes with long-term strategic improvements to ensure Asana's mobile app continues to deliver value to its users.
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: Establishes a clear timeline for the issue. Expected answer: The update was released on [specific date], and the decrease began shortly after. Impact on approach: Helps narrow down potential causes related to the update.
Why it matters: Identifies if the issue is universal or specific to certain users. Expected answer: The decrease is more pronounced among [specific user segment]. Impact on approach: Guides us to focus on features or changes that might affect particular user groups.
Why it matters: Rules out technical measurement errors. Expected answer: No changes to measurement methods; tracking systems are functioning normally. Impact on approach: Confirms the issue is with user behavior, not data collection.
Why it matters: Considers broader context that could affect user behavior. Expected answer: No major external shifts noted, but [minor trend] has been observed. Impact on approach: Helps differentiate between product-specific issues and wider market trends.
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