Introduction
The recent 20% increase in support tickets related to CE Broker's course search functionality is a critical issue that demands immediate attention. This surge in user complaints indicates potential problems with a core feature of our platform, which could significantly impact user satisfaction and retention. In this analysis, I'll systematically investigate the root causes, generate data-driven hypotheses, and propose a comprehensive plan to address the issue.
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 metric shifts. Expected answer: Yes, there was a minor update to improve search relevance. Impact on approach: If confirmed, we'd focus on the update's impact and potential rollback.
Why it matters: Helps identify if the issue is universal or specific to certain users. Expected answer: The increase is primarily from new users in the healthcare sector. Impact on approach: We'd investigate onboarding processes and sector-specific search requirements.
Why it matters: Performance issues often lead to increased support tickets. Expected answer: Search times have increased by 15% on average. Impact on approach: We'd prioritize investigating backend performance and database optimizations.
Why it matters: Content changes can affect search accuracy and user expectations. Expected answer: We've added 5000 new courses from a new education provider. Impact on approach: We'd focus on content integration and metadata consistency checks.
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