Introduction
The recent 30% drop in new patient appointments for Foresight Mental Health's online therapy booking system is a critical issue that demands immediate attention. This decline not only impacts the company's revenue but also potentially affects patient access to mental health services. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
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 patterns could explain the fluctuation and inform our solution approach. Expected answer: No significant seasonal correlation. Impact on approach: If seasonal, we'd focus on anticipating and mitigating annual drops.
Why it matters: Identifying affected segments helps pinpoint targeted solutions. Expected answer: The drop is more significant among new users. Impact on approach: We'd focus on new user acquisition and onboarding processes.
Why it matters: Recent changes could directly correlate with the appointment drop. Expected answer: A minor UI update was implemented. Impact on approach: We'd scrutinize the impact of the UI change on user behavior.
Why it matters: Changes in coverage could significantly impact patient decisions. Expected answer: No major policy changes noted. Impact on approach: If policy-related, we'd need to adapt our offering or communication strategy.
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