What caused the sudden spike in error rates for WebMD Health Services's medication reminder feature last week?

Introduction

The sudden spike in error rates for WebMD Health Services's medication reminder feature last week is a critical issue that demands immediate attention. As we delve into this product execution problem, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term implications for the product ecosystem.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking this could be related to a recent deployment. Has there been any significant update or change to the medication reminder feature in the past week?

Why it matters: Recent changes often correlate with sudden performance shifts. Expected answer: Yes, there was a minor update to improve notification delivery. Impact on approach: If confirmed, we'd focus on the update's specifics and rollback considerations.

• Considering user segments, I'm curious about the error distribution. Are we seeing this spike across all user groups or is it concentrated in specific demographics or device types?

Why it matters: Helps narrow down potential technical or user experience issues. Expected answer: The errors are more prevalent among iOS users. Impact on approach: We'd prioritize iOS-specific investigations and solutions.

• Given the nature of the feature, I'm wondering about data integrity. Have we confirmed that the medication data itself hasn't been corrupted or altered unexpectedly?

Why it matters: Data issues could lead to systemic errors in reminder functionality. Expected answer: Initial checks show no signs of data corruption. Impact on approach: We'd shift focus from data integrity to application-level issues.

• Thinking about external factors, has there been any change in how we're measuring or logging these errors that might explain the sudden spike?

Why it matters: Ensures we're not dealing with a measurement anomaly rather than an actual increase in errors. Expected answer: No recent changes to error logging or measurement systems. Impact on approach: Confirms the issue is likely with the feature itself, not our monitoring.