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AI Feedback & Survey Agent

Automated agent for collecting feedback, running surveys, and measuring customer satisfaction

Description

What Is the AI Feedback & Survey Agent?

The AI Feedback & Survey Agent is a conversational digital employee that conducts surveys, collects customer feedback, measures satisfaction scores such as NPS, and analyzes responses automatically.

It helps businesses understand customer sentiment at scale without manual survey management.

Who Is It For?

  • Customer experience teams
  • Product and growth teams
  • SaaS and subscription businesses
  • Retail and service organizations
  • Enterprises measuring customer satisfaction

What Problems Does It Solve?

Business Problem How AI Feedback & Survey Agent Solves It
Low survey response rates Engages users conversationally
Manual survey follow-ups Automates outreach and reminders
Delayed customer insights Captures feedback in real time
Unstructured feedback data Categorizes and summarizes responses
No visibility into sentiment Tracks satisfaction trends centrally

Core Responsibilities

  • Conduct feedback and survey interactions.
  • Ask structured or conversational questions
  • Capture ratings, comments, and sentiment.
  • Calculate NPS and satisfaction scores.
  • Send reminders for incomplete surveys.
  • Escalate negative feedback to teams.
  • Log responses and insights.

How It Helps (Real Example)

An e-commerce brand deploys the AI Feedback & Survey Agent after order delivery.
Customers share feedback conversationally, NPS is calculated automatically, and negative responses trigger follow-ups — improving retention and experience.

Integrations

  • CRM systems
  • Customer experience platforms(HubSpot, Salesforce, Zoho)
  • Analytics and BI tools
  • Email and messaging systems

Additional information

Subscription Options

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Key Features

  1. Conversational Surveys
    Collects feedback through natural conversations.
  2. Automated NPS & CSAT
    Calculates scores instantly from responses.
  3. Smart Follow-Ups
    Sends reminders or clarification questions.
  4. Sentiment Analysis
    Understands positive, neutral, and negative feedback.
  5. Insight & Trend Reporting
    Summarizes feedback for actionable decisions.

Security & Compliance

  • Encrypted feedback data
  • Role-based access control
  • GDPR-ready architecture
  • Secure data storage

Core AI Capabilities

  • Conversational AI
  • Natural Language Understanding (NLU)
  • Sentiment analysis
  • Context retention
  • Decision-based routing

Outcomes & Business Impact

  • Higher survey participation rates
  • Faster customer insight collection
  • Improved customer satisfaction
  • Early detection of issues
  • Data-driven experience improvements

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