Introduction
The sudden drop in TripAdvisor's average restaurant review ratings for New York City is a concerning trend that requires immediate attention. A 0.5-star decrease over just one month is significant and could have far-reaching implications for both restaurants and the platform itself. To address this issue, I'll employ a systematic approach to identify potential root causes, validate hypotheses, and develop both short-term and long-term solutions.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal trends can significantly impact restaurant experiences and reviews. Expected answer: No major events or holidays during this period. Impact on approach: If confirmed, we'd need to look more closely at internal factors or changes in user behavior.
Why it matters: A change in review volume could indicate a shift in user engagement or a technical issue. Expected answer: Review volume has remained consistent. Impact on approach: If volume is stable, we'd focus more on content and sentiment analysis of the reviews.
Why it matters: This helps determine if it's a localized issue or a broader trend. Expected answer: The trend is specific to New York City. Impact on approach: If confirmed, we'd need to investigate NYC-specific factors more closely.
Why it matters: Technical changes can sometimes have unintended consequences on user-facing metrics. Expected answer: No recent major technical changes. Impact on approach: If no changes, we'd focus more on user behavior and external factors.
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