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Feedback

Feedback represents the raw customer data collected from your various integrations and data sources. This is the foundational layer of ClosedLoop AI - the unprocessed customer interactions, conversations, and input that our AI analyzes to generate actionable insights.

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What is Feedback?

Feedback is the raw, unstructured data that comes directly from your customers through various touchpoints:
  • Sales calls recorded in Gong, Chorus, or other call recording platforms
  • Support tickets from Zendesk, Intercom, or your help desk
  • Survey responses from Typeform, SurveyMonkey, or Qualtrics
  • Community discussions from Slack, Discord, or Reddit
  • Social media mentions from Twitter, LinkedIn, or other platforms
  • Product usage data from analytics tools and user behavior tracking

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Data Sources

ClosedLoop AI ingests feedback from 8,000+ data sources across 8 main categories:

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Call & Meeting Intelligence

  • Gong, Chorus, Zoom, Google Meet, Microsoft Teams
  • Fireflies AI, Otter.ai, Grain, and other meeting platforms
  • Sales calls, customer meetings, video conferences

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Sales & Support

  • Intercom, Zendesk, Salesforce, HubSpot
  • Airtable, Segment, Looker, Tableau, Power BI
  • CRM systems, support platforms, customer data

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Communication & Community

  • Slack, Discord, Reddit, X (Twitter)
  • GitHub, GitLab, Bitbucket, Confluence, Notion
  • Team chat, social media, community discussions

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Product & Development Tools

  • Typeform, SurveyMonkey, Qualtrics
  • Linear, Jira, Asana, ClickUp, Productboard
  • Project management, surveys, development platforms

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Feedback Processing

When feedback is ingested into ClosedLoop AI, it goes through several processing stages:

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1. Data Ingestion

  • Raw data is collected from your connected integrations
  • Data is normalized and structured for AI processing
  • Metadata is extracted (timestamps, source, customer info)

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2. Content Analysis

  • AI analyzes the content for sentiment, intent, and key themes
  • Extracts specific feature requests, bug reports, and pain points
  • Identifies customer emotions and satisfaction levels

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3. Categorization

  • Automatically categorizes feedback by type (UI, features, bugs, etc.)
  • Assigns priority levels (low, medium, high, critical)
  • Tags with relevant keywords and themes

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4. Context Preservation

  • Maintains full context from the original customer interaction
  • Preserves customer quotes and specific language used
  • Links back to the original source for verification

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Data Security

Your feedback data is protected with enterprise-grade security:
  • Data Isolation: Complete separation between customer datasets
  • Secure Processing: AES-256 encryption at rest and in transit
  • No Data Sharing: Insights never cross company boundaries
  • Audit Trails: Comprehensive logging and monitoring

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API Access

You can access your feedback data through:
  • MCP Server: For AI agents and tools (Claude, Cursor)
  • CLI Tool: For command-line workflows and automation
  • REST API: For custom applications and integrations

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Next Steps

Once feedback is processed, it becomes the foundation for:
  • Insights - AI-generated analysis and recommendations
  • Patterns - Trends and recurring themes across feedback

View Your Feedback

Access your raw feedback data in the ClosedLoop dashboard