Healthcare Product Training

This online training introduces the cobas pro ISE neo analytical unit, a key component of the cobas pro integrated solutions. Learners will learn about its hardware, specifications, and new features, as well as how to identify and operate the unit effectively.

Audience: Field service engineers, customer service representative, internal employees

Focus: Modular Learning Journey

Responsibilities: Instructional Design, eLearning Development, Visual Design, Video editing

Tools Used: Articulate Storyline, Canva, ChatGPT, Miro, Invideo AI

This project was created in 2024.

Please note: This project is in no way affiliated with Roche. This was the project that I submitted when I originally interviewed at the company. It does not include any factual information, nor does it follow specific brand guidelines.

Experience the project

Problem

The subject matter expert needed a training solution for new employees who were unfamiliar with the cobas pro ISE neo analytical unit. While detailed technical materials were available, they lacked structure and interactivity, making it challenging for learners to understand the unit’s components, functions, and new features in a practical, engaging way.

Solution

I designed an interactive eLearning module that transformed the raw technical content into a clear, structured learning journey. The course introduced the analytical unit through short, nanolearning lessons, combining concise explanations, hands-on interactions, and quick knowledge checks. This approach allowed new joiners to explore, engage, and retain key information more effectively.

My process

I began by reviewing the SME’s source materials and using ChatGPT to analyze and organize the content for clarity and structure. From there, I mapped priorities in Miro to define key objectives and design a concise flow. I developed a clean, Roche-aligned visual direction, then storyboarded content and interactions in Canva. I created a video by using an AI-generated video for the voiceover and some scenes, and combined that with an official Roche video on the analyzer. Finally, I built the course in Articulate, tested navigation and triggers, and published the HTML module.

Organizing the course structure with ChatGPT

To begin shaping the course, I used a structured prompt in ChatGPT, sharing the course title, brief intro, explicit learning objectives, and a request for a 5-minute interactive outline, to generate an initial structure and brainstorm interaction ideas. The AI returned a sequenced plan that chunked objectives into short, engaging sections with suggested interaction. I then refined these in Miro, mapping the lesson sequence and placing scenario-based interactions, visuals, and inline knowledge checks where they best reinforced the objectives.

My learning approach

I designed the interactions to match how people actually learn today: short, focused, and hands-on. Building on nanolearning principles, I broke the content into three 2–5 minute lessons so learners can engage in quick, meaningful bursts and pause between segments without losing momentum. Within each lesson, I used scenario-based activities and light simulations to prompt “learning by doing,” turning abstract concepts into practical decisions. Instead of a single quiz at the end, I wove brief knowledge checks directly into the flow to provide immediate feedback, reinforce key points at the moment of need, and reduce cognitive load, keeping the experience low-stress, interactive, and retention-friendly.

Results and takeaways

Overall, I think module delivered a clear, structured introduction to the product and kept learners engaged with short, interactive segments and knowledge checks. However, I would also like to make it a bit more realistic, perhaps by adding real videos of the instrument processing a sample during the simulation interaction, or actual UI screenshots for step-by-step practice. These additions would help learners recognize the workflow and feel more prepared when they’re at the bench.

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