Introduction
eHealth's customer satisfaction score for the online Medicare application process has declined from 4.2 to 3.7 in the past 60 days, indicating a significant drop in user experience. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.
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 impact user expectations and system load. Expected answer: Slight increase in older applicants due to annual enrollment period. Impact on approach: Would focus on age-specific usability issues and system performance under higher load.
Why it matters: Ensures we're comparing apples to apples and not chasing a non-existent problem. Expected answer: No changes in measurement methodology. Impact on approach: Would rule out measurement issues and focus on actual user experience factors.
Why it matters: Technical changes often have unintended consequences on user experience. Expected answer: Minor UI updates and backend optimizations were implemented. Impact on approach: Would investigate the impact of these changes on user flow and system performance.
Why it matters: Policy changes could increase complexity or confusion for applicants. Expected answer: No major policy changes, but some minor updates to required documentation. Impact on approach: Would examine how well these updates were communicated and integrated into the application process.
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