127 Interest Score
14 Discussions
0.11 Engagement
Jun 2024 Launched
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Organize user feedback into an insightful dashboards within minutes with the Feedback Navigator AI and the built-in data sources.

What the Community Said

@adamhayek1 This looks like a really useful tool! Can Feedback Navigator handle multipl elanguages in the reviews?

— [REDACTED]

Hey Hunters, I've built Feedback Navigator from a quick weekend project where I helped a friend quickly analyze hundreds of open ended survey answers. I thought this could be turned into a more polished product to allow companies to quickly gather and analyze all their existing customer feedback with AI. You can fetch Google Maps, TrustPilot, AirBnb, Booking, Tripadvisor or Yelp reviews automatically. There is also an option to upload a CSV or use a simple API to get your data in. I have also bu

— [REDACTED]

I'm gonna ask my product manager and marketing leader check this out. If only it's what I've been looking for.

— [REDACTED]

congrats on the launch, feedback navigator sounds like a neat tool for businesses. how does your system ensure the accuracy of categorization and sentiment analysis in the feedback it processes? how can businesses best leverage this to improve customer satisfaction?

— [REDACTED]

I'm absolutely thrilled with the Feedback Navigator AI! It effortlessly organizes user feedback into insightful dashboards in just minutes. The built-in data sources are incredibly comprehensive and make the entire process smooth and efficient. Highly recommend for anyone looking to streamline their feedback analysis!

— [REDACTED]

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Frequently Asked Questions

Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

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