Project
Fairness Factor
Industry
Human Resources & AI Technology
Technology
AI Performance Review Assistance
What We Delivered
Product Design, Development & Testing
AI-Driven Workplace Advocacy Platform
Product Portfolio
Overview
Fairness Factor is an AI-powered platform that helps employees prepare for their performance reviews and workplace negotiations. By using AI-driven tools, the platform guides users through goal setting, provides personalized outcome predictions, and generates documents that support employees in improving their workplace experience. Fairness Factor assists with fair compensation, career growth, and work-life balance, all while ensuring a secure and scalable system that employees can rely on.
Problem Statement
Employees often struggle with performance reviews due to a lack of preparation, understanding, and the ability to negotiate. Many also face challenges in maintaining a balance between work demands and career growth opportunities. Fairness Factor solves these problems by offering a platform that helps employees prepare by predicting outcomes, setting clear goals, and providing relevant documents and personalized coaching.
Complexities We Faced
A major challenge in developing Fairness Factor was ensuring that the AI could accurately predict workplace outcomes and generate useful documents. Another challenge was designing an intuitive and secure authentication system to allow employees to safely access their data and documents.
Additionally, making sure that the AI chatbot responded to user inputs in a personalized, relevant way was a critical challenge. After addressing these issues, we created a powerful system that helps employees navigate workplace performance reviews and negotiations effectively.
Market Challenges
001
Lack of Workplace Transparency
Many employees find it difficult to navigate workplace performance reviews without clear guidelines and support. The platform needed to provide transparency and personalized advice.
002
Need for Personalized Coaching
Generic advice is often insufficient for employees facing complex workplace issues. Fairness Factor had to deliver personalized coaching to help users prepare for their performance reviews.
003
Employee Engagement
Ensuring that employees remained engaged and motivated to use the platform for multiple sessions was critical. We needed to design an experience that felt interactive and valuable throughout.
004
Security of Personal Information
Not all users have reliable internet connections or devices, limiting their ability to access therapy sessions.
Technical Challenges
Accurate Outcome Predictions
The system needed to accurately predict the likelihood of various outcomes based on the data provided by users, including goals, company culture, and past performance.
AI-Powered Coaching
Building a chatbot capable of personalized coaching through goal setting, outcome prediction, and document generation was a technical hurdle that required advanced natural language processing.
Document Generation and Management
Automatically generating professional documents like negotiation playbooks, talking points, and self-assessments required integrating various AI tools and ensuring they met legal and organizational standards.
Scalability and Flexibility
The system needed to be scalable to handle a growing user base, with the flexibility to adapt to different workplace scenarios and industries.
Build an AI Professional Coach to Train Your Employees
Fairness Factor helps employees prepare for performance reviews, negotiations, and workplace discussions by providing AI-driven insights and professional coaching. Partner with us and reduce your staffing costs through our AI based staffing solutions.
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Product Requirements
Secure User Authentication
The system must provide secure access for users, including Google Sign-In, email authentication, and two-factor authentication (2FA) for sensitive cases.
Personalized Goal Setting
Employees must be able to define their goals clearly, with the system offering personalized coaching and outcome predictions based on the data they provide.
Outcome Prediction
The system must predict the likelihood of achieving the user’s goals based on company-specific data and provide actionable insights to help users prepare for negotiations.
Document Generation
The platform must generate personalized documents such as negotiation playbooks, talking points, and legal brief reports to support users during their performance reviews.
Solutions
Fairness Factor uses AI to help employees prepare for performance reviews by guiding them through goal setting, providing outcome predictions, and generating relevant documents. The platform’s chatbot offers personalized coaching, while its secure authentication system ensures data privacy. By combining AI with scalable architecture, Fairness Factor ensures that users receive a smooth, efficient experience as they prepare for workplace challenges.
AI-Driven Goal Setting
The system helps users define and refine their goals, offering personalized coaching and feedback throughout the process.
Predictive Analytics
Fairness Factor predicts the likelihood of different outcomes, helping users plan their performance review strategies effectively.
Document Generation
Automatically generated documents, like salary research reports and negotiation playbooks, ensure that employees are fully prepared for discussions with their employers.
Secure Access and Data Management
Users can securely access their profile and documents, ensuring their personal information is protected at all times.
Features
Personalized Coaching
The AI-driven chatbot helps employees define goals and provides continuous coaching based on data collected from the user.
Outcome Prediction
The system uses predictive analytics to forecast the probability of success for the user’s goals, providing insights into potential outcomes.
Document Generation
Fairness Factor generates a variety of helpful documents, including self-assessments, talking points, and negotiation playbooks, to assist employees in their performance review process.
User Feedback System
The system collects feedback from users after each session, allowing continuous improvement of the platform and its AI capabilities.
Role-Playing Simulations
Fairness Factor offers role-playing simulations where employees can practice performance review conversations with the AI chatbot.
Final Product
Impact
Higher Confidence in Negotiations
Employees who participated in role-playing simulations showed a 30% increase in confidence during their actual performance review discussions.
Improved Employee Performance
Users have reported a 35% improvement in their performance review outcomes due to better preparation and personalized coaching provided by Fairness Factor.78% of users finish guided exercises and activities, reflecting a commitment to their mental health journey.
Higher Engagement
Employees who used the platform for multiple sessions showed a 40% increase in their engagement and confidence during performance reviews.
Better Outcome Predictions
Outcome predictions provided by the system have been 80% accurate, helping employees make informed decisions and improve negotiation outcomes.
Increased Employee Satisfaction
Employee satisfaction with performance reviews increased by 25% after using Fairness Factor to guide their preparation.
