Introduction
The sudden increase in patient wait times for Kry's mental health services this quarter is a critical issue that demands immediate attention. As we analyze this problem, we'll follow a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
I'll begin by clarifying key aspects of the situation, then rule out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, we'll generate and validate hypotheses, conduct a thorough root cause analysis, and develop a comprehensive plan to resolve the issue and prevent future occurrences.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development, ensuring a comprehensive examination of the problem at hand.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends could explain the increase and inform our capacity planning. Expected answer: Yes, there's been a 20% increase compared to last year. Impact on approach: If confirmed, we'd need to focus on scaling our service capacity.
Why it matters: Changes in onboarding could directly impact wait times. Expected answer: A new mental health assessment questionnaire was added last month. Impact on approach: If true, we'd need to evaluate the efficiency of this new process.
Why it matters: Therapist availability is crucial for managing wait times. Expected answer: Turnover has been stable, but we've struggled to hire new therapists. Impact on approach: This would shift our focus to recruitment and onboarding strategies.
Why it matters: Technical issues could directly impact our ability to schedule appointments efficiently. Expected answer: No major outages, but there have been intermittent slowdowns. Impact on approach: We'd need to investigate the technical infrastructure and its impact on scheduling.
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