Field Technician Accelerated AI Training
Aspen AI - Contract
Overview
This project focused on improving a field technician training program that relied on long, text-heavy training materials and often took close to a year to complete. Working within the client’s existing LMS, I designed a trainee learning experience that used AI to restructure dense technical documentation into multimodal training content. The result was a concept-level LMS demo that showed how complex material could be delivered more efficiently while supporting better engagement and comprehension for new technicians.
Tools
Figma
FigJam
ChatGPT
Gemini
NotebookLM
Gamma AI
Timeline
Jun - Nov 2025
Role
UX Designer
Team
Collaborative team project
Owned trainee learning experience flow, AI-assisted content generation, and LMS demo mockups.
The Problem
The client’s existing training experience presented several challenges:
Training programs often took close to a year for new technicians to complete
LMS modules were largely adapted from training manuals and PowerPoint decks
Content was repetitive, text-heavy, and cognitively overwhelming
Translating large technical documents into LMS-ready content was time-consuming
The training lacked multimodal formats to support different learning styles
Design Focus
Rather than redesigning the LMS UI, this project centered on improving learning clarity and efficiency within existing constraints.
The primary goals were to:
Reduce cognitive overload in technical training content
Introduce multimodal learning formats (read, listen, interact)
Demonstrate how AI could accelerate content creation and structuring
Maintain compatibility with the client’s current LMS platform
My Role & Contribution
As the UX Designer on this project, I was responsible for shaping how trainees would experience and move through the training content.
What I worked on:
Designing a trainee learning experience flow to guide module progression
Using AI to summarize and restructure large technical documents
Generating AI-assisted instructional content and imagery
Creating a high-fidelity Figma LMS demo for stakeholder presentation
User flow showing how trainees move through structured, AI-assisted training modules, from introduction to assessment
Solution Overview
The final solution was a concept-level LMS demo that showcased how AI-generated content could support a more engaging and structured learning experience.
The demo included:
Chapter summaries to break down complex material
Podcast-style audio content for alternative learning modes
AI-generated instructional images
Interactive drag-and-drop activities
Knowledge checks to reinforce comprehension
Note: Due to a signed NDA, detailed mockups, prototypes, and additional artifacts cannot be shared publicly. The visuals shown here are limited and have been approved for portfolio use.
Scope and standards overview outlining key requirements and guidelines for the training module
Hover interaction revealing an AI-generated image to provide visual context for a hydraulic extension
Drag-and-drop activity designed to help trainees identify and place key components correctly
Constraints & Real-World Considerations
This project involved several real-world limitations that shaped design decisions:
Platform constraints tied to the client’s existing LMS
Highly technical training content requiring careful AI review
A two-week delivery window for stakeholder presentation
Delays in receiving training materials and LMS access
Introducing AI-generated training content into an established workflow
Outcomes
Stakeholder approval, including positive feedback from the CEO
Validation that AI-generated training content could improve clarity and engagement
Alignment on future-phase potential for AI-supported training
Successful delivery of Phase 1 concept work
Lessons Learned
AI can significantly speed up content creation, but UX judgment is essential to ensure accuracy and usability
Clear stakeholder communication is critical when introducing AI into established workflows
Designing within strict constraints sharpened focus on the learning experience
Next time, I would push earlier for access to training materials and platform details to allow more iteration time.