Introduction
The sudden 30% decrease in completed insurance eligibility checks through Phreesia's mobile app over the past week is a critical issue that demands immediate attention. This significant drop in a key performance indicator could have far-reaching implications for user experience, revenue, and overall product health. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes 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: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, a minor update was pushed last week. Impact on approach: If confirmed, I'd prioritize investigating the update's impact.
Why it matters: Segmentation helps pinpoint if the issue is user-specific or system-wide. Expected answer: The decrease is more pronounced among new users. Impact on approach: I'd focus on onboarding flows and new user experience if this is the case.
Why it matters: External factors can significantly impact user behavior and system performance. Expected answer: No major industry changes noted. Impact on approach: If true, I'd shift focus more towards internal factors and user experience issues.
Why it matters: Ensures we're not dealing with a data anomaly rather than an actual performance issue. Expected answer: No changes in tracking or definitions. Impact on approach: If confirmed, I'd rule out data integrity issues and focus on actual performance factors.
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