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Canvs: Consumer Feedback Analytics Software

Canvs helps customer insight and research teams analyze qualitative feedback at scale. It is designed for organizations that need to identify emotional drivers and themes within large volumes of unstructured text.

Pricing

Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.

At a glance

Best for
Customer insight teams, Market research professionals, Executive leadership teams, HR and people operations
Key use cases
Analyzing survey open-ends, Live event reaction monitoring, Social media feedback interpretation, Employee engagement analysis
Integrations
Facebook, YouTube, Forsta, Tableau, Excel export
Visit canvscanvs software interface screenshot

How AI is used

Canvs is a feedback intelligence platform designed to convert open-ended text—such as survey responses, call transcripts, and social comments—into structured data. It uses an AI engine called Asa to interpret language and emotion, moving beyond simple keyword counts to identify why customers feel a certain way.

The tool is designed for research professionals, executive teams, and HR teams who manage high volumes of qualitative data. It helps these users identify patterns and emotional shifts in real time, which may support strategic decision-making.

Buyers should consider that the platform is designed for high-level analysis of unstructured data. Those needing a primary survey builder or CRM should note that Canvs focuses on the analysis layer and integrates with existing data sources.

Key Features

  • Open-ended text analysis

    Processes unstructured text from surveys, reviews, and transcripts to identify core themes.

  • Emotion measurement

    Uses a proprietary model to detect nuanced emotional reactions beyond basic positive or negative sentiment.

  • Dynamic Code Frame Generation

    Automatically organizes feedback into structured categories to help quantify qualitative data.

  • Asa AI Agent

    An AI interface that allows users to ask questions about data shifts and generate summaries.

  • Precision and Verbatim Search

    Allows users to search through raw feedback and trace AI-generated insights back to the original customer comments.

Use Cases

  • Analyzing survey open-ends

    Converting long-form survey responses into quantified themes and emotional drivers.

  • Live event reaction monitoring

    Tracking audience responses in real time during broadcasts or announcements to detect sentiment shifts.

  • Social media feedback interpretation

    Analyzing comments and conversations on platforms like Facebook and YouTube to identify emerging trends.

  • Employee engagement analysis

    Using the platform to interpret internal feedback and employee responses for HR teams.

Integrations

  • Facebook
  • YouTube
  • Forsta
  • Tableau
  • Excel export
  • PowerPoint export

FAQ

What does Canvs actually do?

Canvs analyzes open-ended text from sources like surveys and social media, using AI to identify the emotions and themes behind the words to create structured insights.

How is Canvs different from basic sentiment analysis?

While basic tools often only show positive or negative sentiment, Canvs uses a patented emotion-measurement model to detect a wider spectrum of human emotions and nuance.

Can I verify the AI's findings?

Yes, the platform allows users to trace any generated insight back to the original raw customer verbatims.

Who is this software best for?

It is designed for customer insight teams, research professionals, and executive teams in industries such as CPG, hospitality, and media.

Source category: Data & Analytics

Source subcategory: Analytics & Reporting

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