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Introduction:
Feedback Navigator is an AI-powered platform that helps businesses extract actionable insights from user feedback. It enables business owners, property managers, product teams, and consultants to organize feedback into insightful dashboards in minutes. The platform integrates with sources like Trustpilot, Booking.com, and Yelp, while also supporting CSV uploads and API access. Key features include custom categorization, sentiment analysis, request detection, webhook-based workflows, and CSV export capabilities.
Feedback Navigator Product Information
What is Feedback Navigator?
Feedback Navigator is an AI-powered platform designed to help businesses quickly extract valuable insights from user feedback data. It allows business owners, property managers, product teams, and consultants to organize user feedback into insightful dashboards within minutes using AI and built-in data sources. The platform supports pulling in customer feedback from platforms like Trustpilot, Booking.com, and Yelp, as well as uploading CSV files or using an API. It offers features like custom categories, sentiment analysis, request detection, custom workflows via webhooks, and CSV export.
How to use Feedback Navigator?
Users can connect data sources such as Trustpilot, Booking.com, and Yelp, or upload CSV files. The AI then processes the feedback, enabling users to define custom categories, perform sentiment analysis, identify specific requests, and configure custom workflows.
Feedback Navigator's Core Features
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Built-in data sources
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Custom categories
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Sentiment analysis
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Request detection
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Custom workflows via webhooks
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CSV export
Feedback Navigator Use Cases
#1
Property Managers: Analyze guest reviews from platforms like Airbnb and Booking.com.
#2
Gym Owners: Assess reviews across multiple gym locations from Google Reviews and Yelp.
#3
Product Teams: Centralize and categorize customer feedback from various sources.
#4
Hotel Managers: Analyze reviews from TripAdvisor, Booking.com, and Google Reviews.
#5
Consultants: Provide clients with actionable insights into customer experiences.
#6
Restaurant Owners: Evaluate restaurant reviews across all locations from Yelp and Google Reviews.
FAQ from Feedback Navigator
How is credit consumed? +
One credit is consumed for each piece of user feedback analyzed.
What data sources are supported? +
The platform supports sources such as Trustpilot, Booking.com, and Yelp, in addition to CSV file uploads and API integration.
What are custom categories? +
Custom categories allow users to define specific topics to be identified within the provided feedback.
What is sentiment analysis? +
Sentiment analysis utilizes large language models to determine the sentiment of the overall feedback as well as individual detected categories.
What is request detection? +
Request detection provides an overview of common customer requests, helping businesses identify and act on them.
What are custom workflows? +
Custom workflows utilize webhooks to trigger specific actions automatically whenever a new review is analyzed.
Feedback Navigator Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Feedback Navigator.
Compare Gemini 1.0 Pro Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for long-context workloads versus general-purpose AI workloads.
Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus long-context workloads.
Compare Gemini 1.0 Pro Vision Deprecated and Gemini 1.5 Flash Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
Compare Gemini 1.5 Pro Vision Deprecated and Gemini 1.0 Pro Vision Deprecated across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for general-purpose AI workloads versus general-purpose AI workloads.
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