Introduction
The recent increase in completion time for Policygenius's homeowners insurance questionnaire is a critical issue that demands immediate attention. A 5-minute increase in questionnaire completion time could significantly impact user experience, conversion rates, and overall business performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes 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 often correlate with performance shifts. Expected answer: Yes, there was a recent update. Impact on approach: If yes, we'll focus on change-related hypotheses; if no, we'll explore broader issues.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The increase is more pronounced in certain user groups. Impact on approach: Segment-specific issues would lead to targeted solutions.
Why it matters: Technical problems can directly impact completion times. Expected answer: Some increase in error rates has been observed. Impact on approach: High error rates would prioritize technical investigations.
Why it matters: Content changes can significantly affect completion time. Expected answer: Some questions were added or modified. Impact on approach: Content-related issues would require a review of the questionnaire design.
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