Introduction
The 15% decrease in average time spent in Harvey's project timeline tool compared to the previous quarter is a significant shift that warrants thorough investigation. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the product and its users.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends could explain the decrease without indicating a problem. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on adapting to cyclical usage; if not, we'd dig deeper into recent changes.
Why it matters: Helps identify if the issue is universal or specific to certain users. Expected answer: The decrease is more significant among enterprise users. Impact on approach: We'd focus on enterprise-specific features or recent changes affecting that segment.
Why it matters: Recent changes could directly impact user behavior and time spent. Expected answer: A new "quick view" feature was implemented last month. Impact on approach: We'd analyze the new feature's impact on user workflows and time spent.
Why it matters: Performance issues could discourage users from spending time in the tool. Expected answer: No significant performance issues reported. Impact on approach: If performance is stable, we'd focus more on user behavior and feature adoption.
Why it matters: External factors could influence user behavior and time spent in our tool. Expected answer: A major competitor released a simplified timeline view last quarter. Impact on approach: We'd analyze our feature set against competitors and consider user preferences.
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