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Feedback Navigator

Quickly gather customer feedback data and extract valuable insights with AI.

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Description

Feedback Navigator assists businesses in understanding customer opinions by centralizing feedback collection and analysis. The platform integrates with review sites like Trustpilot, Booking.com, and Yelp, and also supports CSV uploads and API connections for data input. Users can define custom categories to tailor the analysis to their specific needs.

Utilizing large language models, Feedback Navigator performs sentiment analysis on both the overall feedback and specific categories identified within the text. It also features request detection to highlight common customer suggestions or needs. For further integration, the tool offers webhooks to trigger custom workflows based on analyzed reviews and allows for data export via CSV for external analysis or visualization, streamlining the process from raw feedback to actionable insights.

Key Features

  • Built-in data sources: Pull feedback from Trustpilot, Booking.com, Yelp, CSV, or API.
  • Custom categories: Define specific categories for feedback detection.
  • Sentiment analysis: Extract accurate sentiment using LLMs for overall feedback and categories.
  • Request detection: Get overviews of common customer requests.
  • Custom workflows: Trigger actions via webhooks when new reviews are analyzed.
  • CSV export: Export analyzed data for external use.

Use Cases

  • Analyze guest reviews for property managers.
  • Assess reviews across multiple gym locations.
  • Centralize and analyze customer feedback for product teams.
  • Analyze hotel reviews from various platforms.
  • Provide customer experience insights for consultants.
  • Evaluate restaurant reviews across different locations.

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