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Introduction
To enhance Vivino's wine pairing suggestions and make them more personalized, we need to delve deep into user behavior, preferences, and the current state of the product. I'll outline a comprehensive approach to tackle this challenge, focusing on user segmentation, pain point analysis, solution generation, and measurement strategies.
Step 1
Clarifying Questions (5 mins)
Why it matters: This helps us understand the scale of impact and prioritize our efforts. Expected answer: Around 50 million active users, with 30% using wine pairing weekly. Impact on approach: High engagement would focus on refinement, while low engagement might require more fundamental changes.
Why it matters: Determines the foundation we have for personalization and potential privacy concerns. Expected answer: Basic preferences, purchase history, and ratings. Impact on approach: Limited data might require new data collection strategies, while rich data could lead to immediate algorithm improvements.
Why it matters: Helps maintain our competitive edge while improving the feature. Expected answer: Extensive wine database and community-driven ratings. Impact on approach: Would focus on leveraging our strengths while addressing any gaps.
Why it matters: Ensures our solution supports overarching business goals. Expected answer: Aims to increase user engagement and drive more purchases through the platform. Impact on approach: Would prioritize solutions that directly contribute to these objectives.
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