Why has Housing.com's property listing views dropped by 30% over the past month for rentals in Mumbai?

Introduction

Housing.com's 30% drop in property listing views for Mumbai rentals over the past 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 and long-term implications for the platform's performance and user experience.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal trend. Has this drop coincided with any particular time of year or event in Mumbai?

Why it matters: Seasonal patterns could explain the fluctuation and inform our solution approach. Expected answer: No significant seasonal trend identified. Impact on approach: If seasonal, we'd focus on adapting to cyclical demand; if not, we'd investigate other factors.

• Considering user segments, I'm curious about the distribution of the drop. Is the 30% decrease uniform across all user types, or is it more pronounced in specific segments?

Why it matters: Identifying affected segments helps pinpoint potential causes and tailor solutions. Expected answer: The drop is more significant among younger, tech-savvy users. Impact on approach: If segment-specific, we'd investigate factors unique to that group; if uniform, we'd look at broader platform issues.

• Thinking about recent changes, have there been any significant updates to the platform, particularly for Mumbai listings, in the weeks preceding the drop?

Why it matters: Recent changes could directly impact user behavior and listing visibility. Expected answer: A new filter system was implemented for Mumbai listings two weeks ago. Impact on approach: If changes occurred, we'd scrutinize their impact; if not, we'd focus on external factors or gradual shifts in user behavior.

• Considering data integrity, has there been any change in how listing views are tracked or reported in the last month?

Why it matters: Ensures we're comparing apples to apples and not chasing a data anomaly. Expected answer: No changes in tracking or reporting methods. Impact on approach: If changes occurred, we'd recalibrate our metrics; if not, we'd proceed with investigating user behavior and platform performance.