Introduction
The decline in average time spent on Rightmove's commercial property listings page by 20% compared to the previous quarter is a significant issue that warrants thorough investigation. This metric is crucial for Rightmove as it directly correlates with user engagement and potential conversions for commercial property listings. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.
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 patterns could explain the decline and influence our approach. Expected answer: No, this decline is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.
Why it matters: Identifying affected segments helps pinpoint potential causes and tailor solutions. Expected answer: The decline is more significant among small business owners. Impact on approach: We'd focus on understanding the needs and behaviors of small business owners.
Why it matters: Recent changes could directly impact user behavior and time spent on the page. Expected answer: Yes, we implemented a new filtering system last month. Impact on approach: We'd investigate the new filtering system's impact on user experience and engagement.
Why it matters: Ensures we're comparing apples to apples and not dealing with a measurement issue. Expected answer: No changes in measurement methodology. Impact on approach: If changed, we'd need to recalibrate our analysis; if not, we can proceed with current data.
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