Feedback NavigatorCustomer feedback analysis AI Tool
Extract valuable insights from user feedback with AI.
Customer feedback analysisFree + from $25/mo0
Extract valuable insights from user feedback with AI.
Overall
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Basic pricing published
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Pricing & Model
free_trial
Free + from $25/mo
Open Source & API
Proprietary
No Public API
Foundational Model
Proprietary Engine
Key Integrations
Web App Only
Free + from $25/mo
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Common queries about Feedback Navigator answered
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.
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How Feedback Navigator stacks up against top competitors
| Feature | Feedback Navigator | Cheers.Tech | Winware | ClientZen |
|---|---|---|---|---|
| Pricing Model | free_trial | free | paid | free_trial |
| API Access | No | No | No | No |
| Open Source | No | No | No | No |
| Link | Visit Website | Visit Website | Visit Website |
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Cheers is positioned as a frontline brand control center. It is designed to help businesses monitor and manage their reputation through a system that directly attributes customer feedback, online revi
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.
Yes, Feedback Navigator allows for data exportation. Users can export their data with one click to conduct custom analysis or visualisation outside of Feedback Navigator. The export format supported is CSV.
Yes, consultants are amongst the primary users of Feedback Navigator. They utilize the tool to provide their clients with actionable insights into their customers' experiences, thus enabling informed decision-making.
Restaurant owners can use Feedback Navigator to quickly evaluate restaurant reviews across all their locations. They can automate scraping feedback from platforms like Yelp or Google Reviews, and set up instant alerts on new reviews using webhooks, enabling prompt response to feedback.
Yes, Feedback Navigator offers a free trial. It includes 100 credits for getting started without requiring a credit card.
Feedback Navigator offers several subscription plans. These include the S Plan with 1,000 credits per month for $15, the M Plan with 2,500 credits per month for $25, the L Plan with 5,000 credits per month for $50, along with other credit packs at varying price points.
Yes, Feedback Navigator uses Artificial Intelligence for sentiment analysis. It employs large language models to accurately interpret the sentiment from the feedback received.
For gyms, Feedback Navigator can be used to assess reviews swiftly across all locations. Gym owners can automate the scraping of platforms like Google Reviews or Yelp, set up webhooks for instant notifications on new reviews, and take prompt action to enhance customer satisfaction.
Feedback Navigator aids product teams by centralizing all customer feedback and automating the process of categorizing and analyzing it. This allows for an efficient collection of valuable insights from multiple sources, supporting informed decision-making and ongoing product enhancements.
Yes, Feedback Navigator is capable of automating scraping of feedback from platforms like Google Reviews. This can be used by different users such as gym owners, hotel managers, and restaurant owners to evaluate and respond to customer feedback promptly.
Feedback Navigator helps property managers analyze guest reviews for their properties swiftly. It allows automated scraping from platforms like Airbnb or Booking.com and even setup of automations via webhooks for instant alerts when new reviews are analyzed. This ensures that they can consistently maintain and improve their property offerings based on the feedback received.
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