Introduction
The decline in average session duration for Amplitude's Funnel Analysis tool by 20% this month is a significant issue that requires immediate attention. This metric is crucial for understanding user engagement and the tool's effectiveness. I'll approach this problem systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term and long-term solutions.
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: Recent changes could directly impact user behavior. Expected answer: Yes, there was a UI update. Impact on approach: If yes, we'd focus on the change's impact on user experience.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decline is more significant among new users. Impact on approach: If segment-specific, we'd tailor our solution to that group.
Why it matters: External factors could be driving the change in usage patterns. Expected answer: No significant market changes noted. Impact on approach: If no external factors, we'd focus more on internal issues.
Why it matters: Ensures we're dealing with a real issue, not a measurement anomaly. Expected answer: No changes in measurement methodology. Impact on approach: If measurement has changed, we'd need to reassess the validity of the decline.
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