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.

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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.

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

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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.

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