Enhancing Predictive Communication Insights

The Emprint Lab is currently working on an AI-powered Conversation Facilitation System designed to transform workplace communication, resolve conflicts, and foster emotionally safe environments. By integrating real-time insights, emotional intelligence (EQ) coaching, and AI-driven analytics, we help organizations create inclusive and productive work cultures while reducing workplace issues such as disengagement, inequities, and miscommunication. I hope the student team can receive a lot of value out of a partnership with us. We look to deeply give back to them by providing constructive feedback and empathetic communication as well as accolades for the parts they do complete and execute on with us. Please see the project scope below. Project Scope: We are looking for students to support The Emprint Lab in analyzing, improving, and leveraging workplace communication data to enhance our system’s predictive capabilities and user insights. Students can engage in one or more of the following ways: 1. Analysis of customer segmentation relative to different products and services, to enhance marketing campaigns and refocus your products/services. Analyze user interactions and platform engagement to create customer segmentation models. Identify key user personas (HR professionals, leadership teams, employees) to enhance system personalization. 2. Provide data-driven insights on how different workplace teams interact with the system and what features they engage with most. Employee attrition and disengagement. Workplace conflicts and resolution success rates. Patterns in leadership accountability and employee sentiment shifts. Use historical data to forecast early warning signs of workplace issues, helping HR teams proactively address concerns before they escalate. Investigate predictive models to understand trends in sales, attrition rates, and profits that impact your business. Propose new ways to visualize data through tables and plots that can provide new insights for managers. 3. Data Extraction, Raw Data Collection & Transformation Gather raw data through methods such as: Surveying HR professionals on workplace communication challenges. Analyzing public datasets related to employee engagement and corporate culture. Structured feedback collection from employees and managers using anonymized workplace scenarios. Clean, prepare, and transform workplace communication datasets to ensure consistency and quality for AI-powered analysis. Optimize structured and unstructured data from conversational insights, performance feedback, and employee sentiment reports. 4. Data Visualization & Dashboard Proposals Propose new ways to visualize workplace insights through: Interactive dashboards for HR leaders. Data plots showing trends in communication and workplace dynamics. Employee engagement heat maps to highlight productivity or conflict zones.

Developing a Secure and User-Friendly Workplace Communication System

The goal of this project is to enhance and expand a workplace communication system that ensures secure, efficient, and user-friendly interactions. Students will apply their skills in software development, cybersecurity, project management, and risk analysis to contribute to a real-world system designed to improve workplace collaboration while maintaining high security and compliance standards.

UX/UI Design Project

Project Plan-  Identify goals, milestones, and set a timeline for the project Review requirements and existing designs-  Familiarize themselves with the existing product to understand the requirements, design work, and feedback that already exists, and to identify gaps to be filled in the next stage. ADD YOUR SPECIFIC NEEDS HERE ADD YOUR SPECIFIC NEEDS HERE Finalize -  Handoff all deliverables and findings in a package that allows for your work to be easily understood and incorporated into future projects.