Introduction
Marriott's mobile check-in feature has experienced a significant 30% drop in usage over the past quarter, raising concerns about user engagement and the overall effectiveness of this digital touchpoint. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address this decline.
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 issue. Expected answer: Yes, it's been compared and the drop is still significant. Impact on approach: If seasonal, we'd focus on optimizing for peak periods; if not, we'd investigate broader issues.
Why it matters: Identifying affected segments could pinpoint specific user needs or technical issues. Expected answer: The drop is more significant among leisure travelers compared to business travelers. Impact on approach: We'd tailor our investigation and solutions to the most affected user segments.
Why it matters: Recent changes could directly impact user behavior and feature usage. Expected answer: A minor UI update was implemented two months ago. Impact on approach: We'd scrutinize the impact of these changes on user experience and workflow.
Why it matters: Users might be shifting to other methods rather than abandoning digital check-in altogether. Expected answer: There's been a slight increase in desk check-ins, but not proportional to the mobile drop. Impact on approach: We'd investigate why users might be reverting to traditional methods and address those factors.
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