Introduction
Essence Healthcare's 30% decrease in telehealth utilization among members aged 65+ over the last 3 months is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and its users.
I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and 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: Changes in UI/UX can significantly impact adoption rates, especially for older users. Expected answer: No major changes in the last 6 months. Impact on approach: If true, we'd focus more on external factors or gradual shifts in user behavior.
Why it matters: Seasonal trends could explain temporary dips in usage. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If true, we'd rule out seasonality and focus on recent changes or external factors.
Why it matters: Policy changes can directly impact utilization rates. Expected answer: No major policy changes in the last 6 months. Impact on approach: If true, we'd focus more on product-related or user behavior factors.
Why it matters: New alternatives could draw users away from our platform. Expected answer: No major new competitors or features in the market. Impact on approach: If true, we'd focus more on internal factors and user experience issues.
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