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Product Teardown : Bumble

  • Conducted in-depth market research to gather insights into market trends, competitor analysis, and user behavior.

  • Analyzed user reviews on app stores to extract valuable feedback and understand user sentiments.

  • Developed user personas based on the research findings to enhance user understanding and empathy.

  • Identified common pain points and challenges faced by users, prioritized them, and proposed actionable solutions to increase app engagement and improve user experience.

Case Study : Zomato

  • Identified authenticity issues in restaurant reviews by analyzing patterns that suggested fake, biased, or low-credibility feedback.

  • Assessed the impact on user trust and platform reliability, highlighting risks like misleading ratings and unfair competitive advantages.

  • Proposed an AI-powered review validation system to flag suspicious reviews, analyze reviewer credibility, and introduce weighted scoring.

  • Improved review relevance by designing tagged review categories (Food, Ambience, Pricing, Service) and AI-generated summaries for faster decision-making.

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