Introduction
The recent 25% decrease in average session duration for Domo's mobile app over the past two weeks is a significant issue that requires immediate attention. This metric is crucial for understanding user engagement and the overall health of our mobile product. I'll approach this problem systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term and long-term solutions.
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 changes could directly impact user behavior. Expected answer: Yes, there was an update two weeks ago. Impact on approach: If confirmed, we'd focus on changes introduced in that update.
Why it matters: Helps identify if the issue is universal or specific to certain users. Expected answer: The decrease is more pronounced among power users. Impact on approach: We'd investigate features commonly used by power users.
Why it matters: Data quality directly impacts the app's utility. Expected answer: No significant data issues reported. Impact on approach: We'd shift focus to app functionality rather than data quality.
Why it matters: External factors could influence user behavior. Expected answer: No major market shifts, but a competitor launched a new feature. Impact on approach: We'd analyze our feature set against the competitor's new offering.
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