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Feedback Analyzer

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adaptationio·vlatest·other

Analyzes textual feedback to identify key themes & sentiment, streamlining understanding and guiding improvement efforts.

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This skill no longer installs under the name feedback-analyzer. adaptationio/skrillz is deleted or private, so it cannot be installed from.

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What we know about this skill

Publisher

adaptationio

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Live repository

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About this skill

What it does

The Adaptation.io Feedback Analyzer skill processes textual feedback data, identifying key themes and sentiment to provide actionable insights. It can categorize feedback into pre-defined categories or automatically discover new ones. This allows users to understand user opinions and improve products or services based on that understanding.

When to use it

  • Analyzing customer reviews for a product launch to identify common complaints or praise points.
  • Processing survey responses to gauge user satisfaction with a new feature.
  • Categorizing support tickets to prioritize urgent issues and identify recurring problems.
  • Evaluating internal feedback from employees on company initiatives.

Key capabilities

  • Feedback categorization
  • Sentiment analysis
  • Theme extraction
  • Automatic category discovery

Example prompts

  • "Analyze this customer review: 'The app is great, but the onboarding process was confusing.'"
  • "Categorize these survey responses and identify any emerging themes."
  • "What's the overall sentiment expressed in this collection of support tickets?"

Tips & gotchas

Requires textual feedback data as input. The accuracy of categorization and theme extraction depends on the quality and clarity of the provided text.