Browse Tasks

Select category

Select category

Select category

Select category

Select Task

Select Task

Select Task

Select Task

Select Tasks

Select Industry

Lead Scoring

Customer Segmentation Analysis

Customer Churn Predictor

Social Media Sentiment Tracker

Personalised Product Recommendation

Call Transcript Analysis

Customer Feedback Analysis

Brand Voice Consistency Check

Content Generation

RFP Analysis

CRM

Customer Feedback Analysis

This AI feedback analysis agent task processes and synthesises customer feedback across multiple channels. The task configuration outlines how to:

  • Aggregate and normalise feedback from diverse sources

  • Conduct multi-level sentiment analysis across feedback channels

  • Identify and categorise recurring themes and patterns

  • Track temporal changes in customer satisfaction metrics

  • Generate prioritised improvement recommendations


As a modular task, it seamlessly integrates with existing customer feedback platforms, social media monitoring tools, and business intelligence systems. The task specification includes comprehensive outputs for sentiment evaluation, theme identification, and actionable insight generation, adaptable across various industry contexts and feedback channels. The system processes both structured and unstructured feedback data, enabling systematic analysis of customer perspectives while maintaining contextual relevance and industry-specific considerations.

Example outputs:

{
  "feedback_summary": "Analysis of 1000 customer feedback entries across surveys, product reviews, and social media posts. Overall sentiment is positive, with high satisfaction in product quality and customer service. Key areas for improvement include mobile app functionality and pricing transparency.",
  "common_themes": [
    "Product durability",
    "User interface design",
    "Customer service responsiveness",
    "Pricing and value for money",
    "Mobile app functionality",
    "Delivery speed and reliability"
  ],
  "sentiment_analysis": "Positive",
  "sentiment_breakdown": "{\"positive\": \"68%\", \"neutral\": \"22%\", \"negative\": \"10%\"}",
  "strengths": [
    "High product quality and durability",
    "Responsive and helpful customer service",
    "Intuitive user interface on desktop",
    "Wide range of product features",
    "Fast and reliable delivery for most customers"
  ],
  "improvement_areas": [
    "Mobile app stability and feature parity",
    "Clearer pricing structure and transparency",
    "Expanded customer support hours",
    "More detailed product documentation",
    "Streamlined return process"
  ],
  "key_metrics": "{\"average_rating\": 4.2, \"response_rate\": \"95%\", \"nps_score\": 42}",
  "trending_topics": [
    "Request for dark mode in mobile app",
    "Interest in eco-friendly packaging options",
    "Demand for integration with popular productivity tools",
    "Requests for more personalised product recommendations"
  ],
  "customer_suggestions": [
    "Implement a loyalty programme for frequent customers",
    "Offer video tutorials for advanced features",
    "Provide a chat support option for quick queries",
    "Introduce a budget-friendly product tier",
    "Allow customisation of notification settings"
  ],
  "recommended_actions": [
    "Prioritise mobile app improvements in the next development sprint",
    "Review and simplify pricing structure to improve transparency",
    "Develop a comprehensive knowledge base for self-service support",
    "Investigate feasibility of introducing a customer loyalty programme",
    "Conduct user research on potential new integrations with productivity tools"