Summarize Google Sheets Form Feedback via OpenAI's GPT-4
This workflow automatically extracts feedback data from Google Sheets, utilizes OpenAI's GPT-4 model for intelligent summarization and analysis, generates concise reports, and sends them via email. It significantly reduces the time cost of manual organization, enhances the efficiency of feedback processing, and ensures that key information is not overlooked. It is suitable for various scenarios such as meeting feedback, user satisfaction surveys, and course evaluations, helping teams to promptly grasp user opinions and optimize decision-making and improvement directions.
Workflow Name
Summarize Google Sheets Form Feedback via OpenAI's GPT-4
Key Features and Highlights
This workflow automatically retrieves feedback data collected through Google Forms from Google Sheets, leverages the OpenAI GPT-4 model to summarize and intelligently analyze multiple user feedback entries, generates concise and clear summary reports, and sends them via email to designated recipients.
Highlights include:
- Automated aggregation of multiple feedback responses, reducing manual consolidation efforts
- Utilization of GPT-4’s powerful natural language processing capabilities to produce high-quality feedback summaries
- Support for Markdown-to-HTML conversion, ensuring visually appealing and easy-to-read email content
- Flexible triggering options, allowing manual initiation or scheduled runs to suit various scenarios
Core Problems Addressed
Traditional feedback form summarization often requires extensive manual filtering and organization, which is time-consuming and prone to overlooking critical information. This workflow achieves rapid and efficient feedback analysis and presentation through automation and intelligent summarization technology, helping teams promptly grasp user opinions and improvement directions.
Application Scenarios
- Summarizing participant feedback after meetings, events, or training sessions
- Analyzing product or service user satisfaction surveys
- Organizing course feedback for educational institutions
- Quickly summarizing market research questionnaire results
Main Process Steps
- Trigger Workflow: Manually start the workflow for testing or schedule it as needed
- Retrieve Feedback Data: Read feedback records from specified Google Sheets documents and worksheets
- Data Aggregation: Aggregate multiple responses for each question into arrays
- Intelligent Summarization: Invoke the OpenAI GPT-4 model to generate a comprehensive summary report based on system prompts and user feedback
- Format Conversion: Convert the GPT-generated Markdown content into HTML
- Send Email: Dispatch the report via Gmail to relevant stakeholders
Systems or Services Involved
- Google Sheets: Storage and management of feedback data
- OpenAI GPT-4 (Chat API): Intelligent text summarization and content generation
- Markdown Node: Format conversion
- Gmail: Email delivery
Target Users and Value
- Event planners and organizers seeking quick analysis of participant feedback
- Product managers and market researchers aiming to capture authentic user insights
- Educators and trainers who want to easily organize learner feedback
- Any teams or individuals needing intelligent aggregation and reporting of large volumes of form feedback
By using this workflow, users can significantly improve the efficiency of feedback data processing, reduce repetitive tasks, and obtain more insightful summary results, thereby supporting optimized decision-making and continuous improvement.