Introduction
The decline in average session duration for BenchSci's reagent selection platform by 3 minutes compared to the previous quarter is a significant issue that warrants thorough investigation. This metric is crucial as it often correlates with user engagement and the platform's ability to provide value to researchers. I'll approach this problem systematically, considering various factors that could contribute to this decline while focusing on identifying the root cause and proposing actionable 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: Seasonal patterns could explain temporary fluctuations in usage. Expected answer: There's no clear seasonal pattern, as the decline is consistent across different research institutions. Impact on approach: If seasonal, we'd focus on adapting to cyclical usage patterns; if not, we'd investigate more persistent issues.
Why it matters: Identifying specific affected segments could pinpoint user-specific issues. Expected answer: The decline is more pronounced among experienced users, while new users show stable session durations. Impact on approach: This would lead us to investigate changes that might have impacted power users more significantly.
Why it matters: Recent changes could directly impact user behavior and session duration. Expected answer: A new AI-powered search feature was implemented at the beginning of the quarter. Impact on approach: We'd focus on analyzing the impact of this new feature on user workflows and efficiency.
Why it matters: Technical issues could frustrate users and lead to shorter sessions. Expected answer: No significant changes in system performance metrics have been observed. Impact on approach: This would shift our focus away from technical performance issues to other potential causes.
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