Introduction
The decline in average time spent on property detail pages from 2 minutes to 45 seconds in the past quarter is a significant shift that warrants thorough investigation. This metric is crucial for Property Finder, as it often correlates with user engagement and potential conversion rates. I'll approach this analysis 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: Seasonal trends can significantly impact user behavior. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on cyclical patterns; if not, we'd look deeper into product or technical issues.
Why it matters: Different user segments may be affected differently, pointing to specific issues. Expected answer: The decline is more pronounced among returning users. Impact on approach: If returning users are more affected, we'd investigate changes that might have impacted their experience specifically.
Why it matters: Recent changes could directly impact user behavior. Expected answer: A new layout was implemented for property detail pages. Impact on approach: If changes were made, we'd focus on before-and-after analysis of these specific updates.
Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement methodology. Impact on approach: If measurement changed, we'd need to recalibrate our analysis; if not, we can proceed with current data.
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