Introduction
Thumbtack's Instant Book feature has experienced a significant 30% drop in bookings over the past month, raising concerns about the product's performance and user engagement. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this critical issue.
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 fluctuations could explain the drop without indicating a deeper problem. Expected answer: Yes, it's been compared and is still significantly lower. Impact on approach: If seasonal, we'd focus on optimizing for this period; if not, we'd investigate other factors.
Why it matters: Uneven impact could point to category-specific issues or changes in user behavior. Expected answer: The drop varies across categories, with some more affected than others. Impact on approach: We'd prioritize investigating the most impacted categories first.
Why it matters: Recent changes could directly correlate with the booking drop. Expected answer: A minor UI update was implemented 6 weeks ago. Impact on approach: We'd scrutinize the update's impact on user behavior and booking flow.
Why it matters: Ensures we're not chasing a phantom problem due to measurement issues. Expected answer: No changes to tracking or reporting systems. Impact on approach: If changes occurred, we'd first validate the data before deeper analysis.
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