LangChain Automate

Target Audience

• Data Analysts: Individuals looking to derive insights from survey responses.
• Market Researchers: Professionals who need to analyze consumer feedback effectively.
• Product Managers: Those interested in understanding user sentiments and improving products based on feedback.
• Educators: Teachers or trainers seeking to gather and analyze feedback from students or participants.
• Business Executives: Leaders wanting to make data-driven decisions based on survey results.

Problem Solved

This workflow automates the process of extracting insights from survey responses. It addresses the challenge of manually analyzing large datasets by:

• Efficiently importing survey responses from Google Sheets.
• Vectorizing the responses for advanced analysis using Qdrant.
• Identifying patterns and clustering similar answers to provide meaningful insights.
• Summarizing findings and exporting results back to Google Sheets for easy access and reporting.

Workflow Steps

1. Trigger Workflow: Initiates the workflow manually when needed.
2. Get Survey Results: Pulls participant responses from Google Sheets.
3. Convert to Question-Answer Pairs: Transforms survey data into a structured format for analysis.
4. Vectorize Responses: Uses OpenAI embeddings to convert text responses into vectors for further processing.
5. K-means Clustering: Applies a clustering algorithm to group similar answers, facilitating easier analysis.
6. Extract Insights: Summarizes clustered responses and determines sentiment using an OpenAI Chat Model.
7. Export Results: Outputs insights back to a new sheet in Google Sheets, allowing for easy sharing and reporting.