Introduction
The decline in average time spent on Housing.com's home loan calculator from 5 minutes to 2 minutes over the past quarter is a significant shift that warrants thorough investigation. This analysis will systematically explore potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this change in user behavior.
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: Seasonal trends could explain temporary changes in user behavior. Expected answer: No significant seasonal correlation observed. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'll explore other factors.
Why it matters: Identifying affected segments helps pinpoint specific user needs or issues. Expected answer: The decline is more pronounced among first-time homebuyers. Impact on approach: We'd focus on understanding and addressing the needs of first-time buyers.
Why it matters: Product changes could directly impact user interaction time. Expected answer: A streamlined UI was implemented two months ago. Impact on approach: We'd analyze the impact of these changes on user behavior and engagement.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: Confirms the decline is real, not a result of measurement changes.
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