Q.How is credit consumed?
A.One credit is consumed each time a user feedback is analyzed.
F
Feedback Navigator
★3.3
💬19
💲Freemium
Feedback Navigator is an AI-driven platform that enables users to extract meaningful insights from customer feedback and visualize them through customizable dashboards. It supports integration with various data sources and offers tools for sentiment analysis, request detection, and workflow automation.
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Platform
web
AICSV exportCustom workflowsCustomer insightsData analysisData sourcesRequest detection
What is Feedback Navigator?
Feedback Navigator is an AI-powered platform designed to help businesses extract valuable insights from user feedback data and create dashboards. It is ideal for business owners, property managers, product teams, and consultants who need to organize and analyze customer feedback efficiently. The tool simplifies the process of analyzing reviews from platforms like Trustpilot, Booking.com, and Yelp, as well as CSV files or API integrations. It provides key features such as sentiment analysis, request detection, custom categories, and workflow automation.
Core Technologies
- Artificial Intelligence
- Large Language Models
- Sentiment Analysis
- Natural Language Processing
Key Capabilities
- Extract insights from user feedback
- Create interactive dashboards
- Analyze reviews from multiple sources
- Perform sentiment analysis
- Detect customer requests
- Customize categories and workflows
Use Cases
- Property managers can analyze guest reviews from multiple platforms.
- Gym owners can assess feedback across different locations.
- Product teams can centralize and categorize customer input.
- Hotel managers can track reviews from various review sites.
- Consultants can deliver detailed insights to clients.
- Restaurant owners can evaluate customer experiences across locations.
Core Benefits
- Quick extraction of actionable insights from user feedback
- Easy integration with multiple data sources
- AI-powered sentiment and request analysis
- Customizable categories and workflows
- Export data in CSV format for further analysis
Key Features
- Built-in data sources
- Custom categories
- Sentiment analysis
- Request detection
- Custom workflows via webhooks
- CSV export
How to Use
- 1Connect data sources like Trustpilot, Booking.com, or Yelp.
- 2Upload CSV files or use an API to import feedback data.
- 3Define custom categories and set up sentiment analysis.
- 4Detect common customer requests and set up automated workflows.
- 5Export data in CSV format for external analysis.
Pricing Plans
Free Trial
Free
100 credits
S Plan
$15/month
1,000 credits/month
M Plan
$25/month
2,500 credits/month
L Plan
$50/month
5,000 credits/month
S Pack
$39
1,000 credits
M Pack
$79
2,500 credits
L Pack
$149
5,000 credits
XL Pack
$249
10,000 credits
XXL Pack
$499
25,000 credits
XXXL Pack
$899
50,000 credits
Frequently Asked Questions
Q.What data sources are supported?
A.The platform supports Trustpilot, Booking.com, Yelp, CSV file uploads, and API integration.
Q.What are custom categories?
A.Custom categories allow users to define specific categories to be detected in the provided feedback.
Q.What is sentiment analysis?
A.Sentiment analysis uses large language models to extract accurate sentiment from the overall feedback as well as each detected category.
Q.What is request detection?
A.Request detection provides a quick overview of the most common requests from customers, enabling businesses to act on them.
Pros & Cons (Reserved)
✓ Pros
- Quick extraction of valuable insights from user feedback data.
- Built-in data sources for easy integration.
- AI-powered sentiment analysis and request detection.
- Customizable workflows and categories.
- CSV export for custom analysis outside the platform.
✗ Cons
- Credits are consumed each time user feedback is analyzed.
- Pricing may be a barrier for some users.
- Reliance on AI for analysis may require occasional manual review.
Alternatives
No alternatives found.