What if… Employers Employ AI Agents to Get 360° Feedback from Employees?

Full Article

⚪ What is this Article About?
● This article demonstrates how AI agents can be used in the real-world for gathering feedback from employees
● It explores using AI agents to collect insights on employee experiences, job satisfaction, and suggestions for improvement
● By leveraging AI agents and language models, organizations can better understand their workforce's needs and concerns

⚪Why Read this Article?
● Learn about the potential benefits of using AI agents for comprehensive feedback collection
● Understand how to build practical, real-world solutions by combining AI agents with other technologies
● Stay ahead of the curve by exploring cutting-edge applications of AI agents

⚪What are we doing in this Project?
\> Part 1: AI Agents to Coordinate and Gather Feedback
● AI agents collaborate to collect comprehensive feedback from employees through surveys and interviews
● Includes a Feedback Collector Agent, Feedback Analyst Agent, and Feedback Reporter Agent
\> Part 2: Analyze Feedback Data with Pandas AI and Llama3
● Use Pandas AI and Llama3 language model to easily analyze the collected feedback data
● Extract insights, identify patterns, strengths, and areas for improvement from the feedback

⚪ Let's Design Our AI Agent System for 360° Feedback
\> Feedback Collection System:
● Collect feedback from employees (simulated)
● Analyze the feedback data
● Report findings and recommendations

\> Feedback Analysis System:
● Upload employee feedback CSV file
● Display uploaded data
● Perform natural language analysis and queries
● Generate automated insights and visual graphs

⚪ Let's get Cooking
● Explanation of the code for the AI agent system and feedback analysis system
● Includes code details for functions, classes, and streamlit interface

⚪ Closing Thoughts
● AI agents can revolutionize how businesses operate and tackle challenges
● Their ability to coordinate, collaborate, and perform specialized tasks is invaluable
● AI agents offer versatile and scalable solutions for optimizing processes and uncovering insights

⚪ Future Work
● This project is a demo to show the potential real-world use cases of AI Agents. To achieve the results seen here, I went through multiple iterations and changes. AI Agents are not fully ready yet (although they are making huge progress every day). AI Agents still need to go through an improvement cycle to reach their full potential in real-world settings.