AI Office Tools

Feedback Navigator

Quickly collect and extract valuable insights from customer feedback.

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Feedback Navigator is an AI-powered customer feedback analytics platform that allows users to import customer feedback from multiple platforms and quickly extract valuable insights through built-in data sources, custom categories, sentiment analysis, and more. The platform supports automated workflows and enables users to perform custom analysis or visualizations externally with CSV export capabilities.
Feedback Navigator
Stakeholders:
Feedback Navigator is for all types of business users who need to efficiently collect and analyze customer feedback, including property managers, gym owners, product teams, hotel managers, consultants and restaurant owners, to help them respond to customer feedback in a timely manner and improve customer satisfaction and loyalty.
Usage Scenario Examples:

  • Property managers use Feedback Navigator to quickly analyze customer reviews for all properties.
  • Gym owners use the Feedback Navigator to quickly evaluate reviews from individual gyms.
  • The product team centralizes all customer Feedback through the Feedback Navigator, automating the classification and analysis process.

The features of the tool:

  • Import customer feedback from platforms such as Trustliilot, Booking.com and Yelli.
  • Define custom categories to detect in the feedback provided.
  • Large language models are used to extract accurate emotions from the overall feedback and from each detected category.
  • A quick overview of the most common customer requests.
  • Use webhooks to trigger custom workflows when new comments are analyzed.
  • Export data with one click for custom analysis or visualization outside the Feedback Navigator.

Steps for Use:

  • 1. Register and log in to Feedback Navigator platform.
  • 2. Select and connect to the platform where you want to import feedback, such as AirBnb, Booking.com, etc.
  • 3. Define custom categories so that the platform can identify and analyze specific types of feedback.
  • 4. Set up sentiment analysis to extract emotional tendencies from feedback.
  • 5. Configure webhooks to trigger custom workflows, such as sending notifications when new comments are analyzed.
  • 6. Use the CSV export function to export data externally for further analysis or visualization.
  • 7. Take action based on the feedback collected to improve customer experience and satisfaction.

Tool’s Tabs: Customer feedback, sentiment analysis

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