Introduction
The sudden drop in patient satisfaction scores for Nomi Health's mobile health clinics this quarter is a critical issue that demands immediate attention. As we analyze this product challenge, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term and long-term implications.
I'll approach this issue by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll generate and validate hypotheses, conduct a thorough root cause analysis, and propose a comprehensive resolution plan.
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 changes could affect patient expectations or the types of services provided. Expected answer: No significant changes in demographics or visit types. Impact on approach: If confirmed, we'd focus more on internal factors rather than external shifts.
Why it matters: Changes in accessibility could directly impact patient satisfaction. Expected answer: Some adjustments to locations and schedules have been made. Impact on approach: If confirmed, we'd investigate the impact of these changes on patient experience.
Why it matters: External factors could be shaping patient perceptions independently of our service quality. Expected answer: No major policy changes, but ongoing public health concerns. Impact on approach: If confirmed, we'd need to consider how to adapt our services to evolving patient needs.
Why it matters: Changes in how we collect or measure satisfaction could artificially affect scores. Expected answer: No changes to the feedback system or methodology. Impact on approach: If confirmed, we can rule out measurement issues and focus on actual patient experience factors.
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