Introduction
The recent 15% drop in OYO Rooms's mobile app booking rate over the past month is a significant concern that requires immediate attention and a thorough analysis. As we delve into this issue, we'll follow a structured approach to identify the root cause, validate our hypotheses, and develop both short-term and long-term solutions.
Framework overview
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 significant. Impact on approach: If seasonal, we'd focus on optimizing for this period; if not, we'd look deeper into recent changes.
Why it matters: Different segments may be affected by different factors, helping us narrow down potential causes. Expected answer: The drop is more pronounced among leisure travelers. Impact on approach: We'd focus our investigation on factors affecting leisure travel and the app's features catering to this segment.
Why it matters: Recent changes could directly impact user experience and booking rates. Expected answer: A new UI was rolled out for the booking process three weeks ago. Impact on approach: We'd prioritize analyzing the impact of this UI change on user behavior and conversion rates.
Why it matters: Changes in user acquisition or engagement strategies could affect booking rates. Expected answer: Marketing spend has remained consistent, but we've shifted focus to a new channel. Impact on approach: We'd investigate the effectiveness of this new channel and its impact on user quality and booking behavior.
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