GPT-3 Case Study: Way to Manage Product Feedback using Olvy AI 🪄

Introduction to Olvy AI: The case study focuses on using Olvy AI as a tool to manage and analyze large volumes of user feedback effectively. Insights Generation: Olvy AI allows users to extract insights from user feedback by analyzing keywords. The tool provides a quick overview of what users are talking about based on surveys conducted within the company. Filtering by Keywords: The case study demonstrates the ability to filter feedback based on specific keywords. In the example, the user explores the customization aspect and identifies that 85.7% of users have given negative feedback related to this particular issue. Summary Generation: Olvy AI can generate a summary of the feedback, making it easier for users to understand and communicate the key points to relevant teams. In the example, a summary is quickly generated for the identified customization issue. Integration and Action: The case study highlights the seamless integration of Olvy AI with the user's workflow. It shows how easy it is to create a ticket for the engineering team directly from the Olvy AI platform, streamlining the process of addressing user feedback and taking necessary actions.