Introduction
Improving trust in Bing search results for healthcare is a critical challenge that directly impacts user experience, public health, and Bing's market position. I'll approach this problem by first understanding the current state of Bing's healthcare search, identifying key user segments, analyzing pain points, generating solutions, and proposing metrics to measure success.
Step 1
Clarifying Questions (5 mins)
Why this matters: It helps narrow the scope and tailor our solutions. Hypothetical answer: We're focusing on general health information searches. Impact: We'll prioritize solutions that improve the accuracy and reliability of health information results.
Why this matters: It establishes a baseline and helps set improvement goals. Hypothetical answer: Bing's trust score for healthcare searches is 65%, while the leading competitor is at 80%. Impact: We'll aim to close this 15% gap in our solutions.
Why this matters: It helps identify potential root causes of trust issues. Hypothetical answer: Bing recently implemented a new AI-powered ranking system for health-related queries. Impact: We'll need to consider how to improve or complement this AI system in our solutions.
Why this matters: It helps us understand the quality and diversity of current information sources. Hypothetical answer: Results primarily come from a mix of government health sites, medical journals, and popular health websites. Impact: We'll explore ways to improve the vetting and presentation of these sources.
Based on these hypothetical answers, I'll assume that we're focusing on improving trust in general health information searches, with a goal of closing a 15% trust gap with competitors, while considering the impact of a recent AI-powered ranking system implementation.
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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