Fortell Reality is an AI-powered learning platform that enables students to practice high-stakes conversations such as job interviews with fully interactive AI avatars. The platform provides structured feedback, analytics, and role-based management tools for academic institutions and enterprise training programs. Designed multi-role enterprise AI learning platform enabling real-time avatar-based interview simulations with advanced analytics and role-based configuration tools.
Overview
Co-designed an AI interview platform to scale structured, high-quality hiring decisions. 👨🏻🎓

Problem
Fragmented workflows and unstructured feedback led to inconsistent evaluations and slow, error-prone decision-making.
Outcome
Reduced user errors by 28% and improved evaluation clarity and speed through redesigned dashboards and structured feedback systems.
Date:
Jan 2026 – April 2026
Team:
DJ Smith, Hazal U.
Industry:
AI Systems
Enterprise AI Simulation System
The Problem
Traditional interview preparation methods are passive and lack realistic practice environments. Institutions needed:
• Scalable AI-driven simulation
• Multi-role administration tools
• Performance analytics
• Configurable AI personas
• Real-time conversational feedback
• Secure, enterprise-ready architecture
The challenge was designing a multi-tenant, role-based AI system that felt intuitive despite its technical complexity.

Platform Architecture I Designed For
The system includes four distinct role-based logins:
Department Admin
Course Admin
Author
Student (Learner)
Each login required a tailored UX model with different permissions, workflows, and data visibility. Designing for this required:
• Role-based access control modeling
• Modular component systems
• Dashboard hierarchy mapping
• Cross-role consistency
• Clear cognitive separation of responsibilities

Key Product Contributions
1. Multi-Role System Design
- Designed scalable IA
- Course management
- Session creation
- AI avatar configuration
- Assignment deployment
- Performance analytics
- CSV export tools
- Audit trails

Product Thinking Applied
• Defining user journeys across roles
• Designing scalable design systems
• Managing state complexity
• Handling conditional logic UI
• Designing AI trust affordances
• Mapping conversation lifecycle flows
• Improving onboarding clarity
• Optimizing interaction latency perception
• Real-time conversational AI
• LLM orchestration
• Voice synthesis engines
• Avatar rendering systems
• Role-based permission logic
• Web-based authoring tools
• Data export infrastructure
Team's Comments
Priyam consistently brings clarity to complex problems and elevates the team’s thinking. Her ability to translate ambiguity into structured, user-centered solutions has had a direct impact on both product quality and team efficiency.

Hazal
Director of Product @The Glimpse Group, New York
Got a project in mind? Tell me about it
Hi, I’m Priyam Joshi, a Designer who turns curiosity into meaningful experiences. I bridge human emotion, technology, and strategy to craft experiences that don’t just look good they work beautifully. As a UX Designer and Researcher, my passion lies in uncovering the “why” behind user behavior and transforming insights into inclusive, data-driven design systems that create real business impact.