For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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HomeDocsAPI ReferenceMCP ServerChat SDKsRelease Notes
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  • Welcome
    • Getting started
    • Key concepts
    • Dashboard navigation
    • Agent logic
    • Improvement tactics
  • Knowledge
    • Content ingestion
    • Article management
  • Automation
    • Actions
    • Processes
    • Playbooks
    • Proactives
    • Greetings
    • Custom Instructions
    • Variables
  • Setup
    • Persona
    • Languages
    • Redactions
  • Handoffs
    • Handoff management
    • Salesforce
    • Zendesk
  • Channels
    • Chat
    • Voice
    • Email
    • Social
    • Third party
  • Optimization
    • Testing
    • Conversations
    • Coaching
      • Topics
      • Reports
      • CSAT survey
        • CSAT survey configuration
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OptimizationPerformance

CSAT survey

Overview
Not sure where to begin? Explore our Getting started guidelines to set up your first AI Agent, review Key concepts to understand the essentials, or check out Improvement tactics to resolve issues and keep things running smoothly.

Customer Satisfaction (CSAT) surveys can help you measure how customers feel about their interaction with the AI Agent.

Before getting started with evaluating CSAT data, make sure your AI Agent’s core elements—like Knowledge, Actions, and Processes—are in place. Other core features may also apply depending on your setup.

This section covers how to configure CSAT surveys, and which reports to use to interpret that data.

CSAT Surveys

Have any questions? Contact your Ada team, or email us at help@ada.cx.

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CSAT survey configuration

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