Client Feedback AI Analysis and Reporting
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Analyzes client feedback using AI, summarizes key points, suggests improvements, and generates social media posts.
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About This Workflow
Overview
This workflow automatically processes incoming client feedback. It leverages an AI model to analyze the feedback, providing a summary of positive aspects, actionable improvement suggestions, and a draft social media post to highlight positive sentiment. The results are then delivered via email and Telegram.
Key Features
- Receives feedback via webhook.
- Uses a function node to prepare a detailed AI prompt.
- Sends the prompt to an AI model via HTTP Request.
- Parses AI output to extract summary and social media post.
- Sends a feedback summary report via email.
- Delivers a social media draft via Telegram.
How To Use
- Set up a webhook endpoint to receive client feedback.
- Configure the HTTP Request node with your AI API URL and authentication credentials.
- Set up your email service for sending the summary report.
- Configure your Telegram bot and chat ID for sending the social media draft.
- Deploy the workflow and send feedback data to the webhook URL.
Apps Used
Workflow JSON
{
"id": "48109cf0-0523-45d2-add0-8f741c0668fb",
"name": "Client Feedback AI Analysis and Reporting",
"nodes": 0,
"category": "Customer Service & Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
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ID: 48109cf0-0523...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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