What factors are contributing to the sudden 30% increase in bounce rate on Compass's property search pages this month?

Introduction

The sudden 30% increase in bounce rate on Compass's property search pages this month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications for our property search functionality.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into our product, user journey, and metrics. From there, I'll form data-driven hypotheses, conduct root cause analysis, and propose a structured plan for validation and resolution.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a recent change. Has there been any significant update to the search algorithm or UI in the past month?

Why it matters: Recent changes often correlate with metric shifts. Expected answer: Yes, there was a UI refresh. Impact on approach: If yes, we'd focus on the changes; if no, we'd look at external factors or gradual degradation.

• Considering user segments, I'm curious about the distribution. Is this bounce rate increase uniform across all user types, or is it more pronounced in certain segments?

Why it matters: Helps narrow down if it's a universal issue or specific to certain users. Expected answer: It's more pronounced in mobile users. Impact on approach: If segmented, we'd focus on that specific user group; if uniform, we'd look at broader issues.

• Thinking about seasonality, I wonder if this aligns with any historical patterns. Have we seen similar spikes in bounce rates during this time in previous years?

Why it matters: Helps distinguish between seasonal trends and actual problems. Expected answer: No, this is unusual for this time of year. Impact on approach: If seasonal, we'd adjust our baseline; if not, we'd treat it as an anomaly requiring investigation.

• Considering data integrity, I'm wondering about our tracking. Have there been any changes to how we measure or define bounce rate recently?

Why it matters: Ensures we're not chasing a phantom problem due to measurement changes. Expected answer: No changes to measurement. Impact on approach: If changed, we'd need to recalibrate our analysis; if not, we can proceed with confidence in our data.