Introduction
The 30% drop in student engagement with Alma's online therapy booking platform since the semester's start 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 success.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Understanding the timing helps pinpoint whether the issue is directly related to academic pressures or other factors. Expected answer: The drop occurred sharply at the semester's start. Impact on approach: A sudden drop would suggest investigating semester-specific factors more closely.
Why it matters: This helps identify if the issue is universal or specific to certain user segments. Expected answer: The drop is more pronounced among upperclassmen. Impact on approach: If true, we'd focus on understanding the unique needs of more experienced students.
Why it matters: Recent changes could directly impact user behavior and engagement. Expected answer: A minor update to the booking flow was implemented two weeks before the semester. Impact on approach: This would prompt a deeper investigation into the impact of these specific changes.
Why it matters: Changes in alternative services could affect demand for the online platform. Expected answer: The university has expanded in-person counseling hours this semester. Impact on approach: This would lead us to examine how our online offering compares to in-person options.
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