Introduction
To improve Sana's AI-powered search functionality for more accurate medical query results, we need to analyze user behavior, identify pain points, and develop targeted solutions. I'll approach this by examining user segments, analyzing their journey, and proposing data-driven improvements to enhance the search experience.
Step 1
Clarifying Questions (5 mins)
Why it matters: This will help tailor our improvements to the most critical user group. Expected answer: A mix of both, with a slight lean towards patients. Impact on approach: We'd focus on balancing technical accuracy with layman-friendly results.
Why it matters: Determines the freshness and reliability of search results. Expected answer: Weekly updates from peer-reviewed journals and health organizations. Impact on approach: We might need to focus on real-time integration or more frequent updates.
Why it matters: Influences how we can personalize and improve search results while maintaining trust. Expected answer: Strict anonymization and encryption protocols in place. Impact on approach: We'd need to balance personalization with privacy concerns.
Why it matters: Helps focus improvements on Sana's core strengths and differentiators. Expected answer: Advanced AI interpretation of complex medical terminology. Impact on approach: We'd double down on AI capabilities while making results more accessible.
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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