Elevating Customer Stories with a Node, Mongo, Flutter and Azure Case Study
CUSTOMER
The customer was a US-based software development company that wanted to improve its customer experience and measure the voice of the customer
CHALLENGE
The customer wanted to find a way to aggregate and analyze customer feedback from various sources such as social media mentions, online reviews, survey responses, and email support logs. Additionally, the customer wanted a tool that would allow them to drill-down into specific topics, track and measure their success, and calculate overall customer sentiment about their organization.
COGNIC’S SOLUTION
Cognic introduced the customer to Tatvam, a customer feedback analysis tool that enables companies to aggregate and analyze customer feedback from various sources such as social media mentions, online reviews, survey responses, and email support logs. Tatvam also allows users to drill-down into comments mentioning specific topics, track and measure their success through in-depth graphs and visualizations, and calculate the overall customer sentiment of everything about the organization.
BUSINESS BENEFITS
The Tatvam tool provided the customer with a comprehensive view of customer feedback, allowing them to identify areas where they could improve their customer experience. Additionally, the tool helped the customer track and measure their success over time, and calculate the overall customer sentiment about their organization. This helped the company to make data-driven decisions and improve customer satisfaction.
TECHNOLOGIES USED
The technology stack used for this project included Flutter for front-end development, Node.js and MongoDB for the backend, and Azure for hosting the API. The application used a microservices architecture, where Node.js was used to build the API, MongoDB was used as the database and Azure was used to host the API.