Introduction
The recent 25% increase in average completion time for UserZoom's tree testing studies is a concerning trend that requires immediate attention. As we delve into this issue, we'll systematically analyze potential root causes, generate data-driven hypotheses, and develop a comprehensive plan to address and resolve the problem. Our approach will balance short-term fixes with long-term strategic improvements to ensure the continued success of UserZoom's tree testing feature.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Pinpointing the timing helps establish a clear cause-effect relationship. Expected answer: The update was released X weeks ago and included Y changes. Impact on approach: If the timing aligns, we'll focus on update-related issues; if not, we'll broaden our investigation.
Why it matters: Identifying affected segments can help narrow down potential causes. Expected answer: The increase is more significant among [specific user segment]. Impact on approach: We'll tailor our investigation and solutions to the most affected segments.
Why it matters: Changes in test content could directly impact completion times. Expected answer: There have/haven't been significant changes to tree structures. Impact on approach: If changes occurred, we'll examine their impact; if not, we'll look at other factors.
Why it matters: Technical compatibility issues could explain increased completion times. Expected answer: We've noticed a shift towards [specific devices/browsers]. Impact on approach: If there's a shift, we'll investigate potential compatibility issues; if not, we'll focus elsewhere.
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