Feedback Navigator

The primary function of Feedback Navigator is to analyze user feedback. It employs Artificial Intelligence to extract valuable insights from user feedback, aiding in understanding customer sentiment and identifying common user requests.

Feedback Navigator analyzes user feedback through the use of several key features, including sentiment analysis and request detection. It uses large language models to extract accurate sentiment from the overall feedback as well as each detected category. The request detection provides a quick overview of the most common requests from customers.

The primary users of Feedback Navigator are business owners, property managers, product teams, and consultants. It also caters to a variety of other users like gym owners, hotel managers, and restaurant owners.

You can import feedback into Feedback Navigator from platforms like Trustpilot, Booking.com, and Yelp. Additionally, it also allows feedback data importation through CSV file uploads or directly through the tool's API.

Yes, Feedback Navigator supports uploads of customer feedback via CSV files.

Yes, users are allowed to use the Feedback Navigator API.

Sentiment Analysis in Feedback Navigator refers to the tool's ability to study user feedback and extract the overall emotional tone or customer sentiment from the feedback. It employs large language models to extract accurate sentiment from the overall feedback as well as from each detected category.

Request Detection in Feedback Navigator refers to an in-built feature that provides a quick overview of the most common requests coming from customers.

Feedback Navigator offers users the ability to design custom workflows. These can be triggered using webhooks when a new review is analyzed.

In Feedback Navigator, webhooks serve to trigger custom workflows upon the analysis of a new review. They are essentially automatic notifications sent by the platform when specific events occur, allowing for a range of automated actions.