How does
Listening
Use AI?
Improved product roadmap accuracy and increased customer satisfaction.
Project Overview
Built an AI-powered system that listens to thousands of customer reviews to generate product insights and drive product strategy.
Layman's Explanation
The system reads and understands massive amounts of customer feedback and tells product teams what users really like or dislike, helping them make better decisions.
Details
The AI-based solution ingests thousands of customer reviews and processes them using large language models (LLMs) to extract structured insights about customer sentiment, preferences, and feature requests. This system allows product teams to skip time-consuming manual analysis and gain an immediate understanding of user needs at scale. It distills qualitative data into actionable product recommendations, helping teams prioritize product updates and align messaging with customer language. The AI automatically clusters feedback, identifies trending topics, and enables direct queries like “What are the top complaints about feature X?”
Analogy
Like a market researcher in the Marketing & Advertising industry who interviews thousands of customers in a day, instantly summarizing key insights for a campaign.
Machine Learning Techniques Used
More Use Cases in
Healthcare
Novelty Justification
AI-driven review analysis is now a common tool for product and customer insight generation.
Project Estimates
