Introduction
The sudden 50% decrease in new property listings on Zoopla's mobile app last week is a critical issue that demands immediate attention. This significant drop could have far-reaching consequences for Zoopla's business model, user engagement, and market position. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to prevent future occurrences.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, there was an update. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at other factors.
Why it matters: Helps identify if the issue is global or specific to certain user groups. Expected answer: The drop is more pronounced in individual sellers. Impact on approach: If segmented, we'd focus on the most affected group; if uniform, we'd look at system-wide issues.
Why it matters: External factors could be drawing users away from Zoopla. Expected answer: No significant competitor actions noted. Impact on approach: If yes, we'd consider market positioning; if no, we'd focus more on internal factors.
Why it matters: Ensures we're not chasing a phantom problem due to measurement errors. Expected answer: No changes to measurement systems. Impact on approach: If yes, we'd audit our data collection; if no, we'd focus on actual listing decrease causes.
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