Introduction
To improve Trip.com's hotel review system and provide more relevant and trustworthy information for potential guests, we need to analyze the current system, identify pain points, and develop innovative solutions. I'll outline my approach to this challenge, focusing on user needs, data quality, and trust-building mechanisms.
Step 1
Clarifying Questions
Why it matters: Determines the scope of localization and cultural considerations needed Expected answer: Global audience with a focus on Asian markets Impact on approach: Would prioritize multi-language support and region-specific review features
Why it matters: Helps identify gaps and opportunities for differentiation Expected answer: Trailing behind in user trust and engagement metrics Impact on approach: Would focus on trust-building features and user incentives
Why it matters: Determines the baseline for trust and areas for improvement Expected answer: Basic verification but struggling with fake reviews Impact on approach: Would prioritize advanced verification techniques and AI-powered fraud detection
Why it matters: Ensures alignment with company-wide objectives and potential synergies Expected answer: Upcoming loyalty program revamp and AI-powered travel recommendations Impact on approach: Would explore integration of review system with loyalty program and AI recommendations
At this point, I'd like to take a 1-minute break to organize my thoughts before diving into the next step.
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