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Project Overview
This project was a product portfolio training module developed for Abbott’s Digital Health Solutions division. The goal of the training was to help internal teams understand the ecosystem of AlinIQ Informatics products and how each solution supports laboratory operations, analytics, and clinical insights across the diagnostic lifecycle.
The challenge was that the AlinIQ portfolio includes multiple complex informatics platforms used in clinical laboratories. Learners needed a clear understanding of how these products fit together operationally, technically, and strategically so they could communicate value to customers and stakeholders.
To address this, I designed a structured learning experience that introduced the product ecosystem through three major capability areas:
Each product lesson followed a consistent structure that included:
Product Overview
Key Capabilities and Insights
Scenario-based discussion
This pattern allowed learners to progressively build understanding while applying product knowledge in realistic conversations with laboratory stakeholders.
The module begins with a high-level overview of the AlinIQ Informatics platform and the laboratory diagnostic lifecycle, followed by product-specific lessons covering systems such as Analyzer Management System, Inventory Management System, Alinity PRO, Clinical Decision Systems, and Clinical Insights powered by Rimidi.
Design Process
My design process began with a content audit of existing product documentation, SME interviews, and internal training materials. The primary design challenge was translating highly technical product capabilities into learning experiences that made sense to non-engineering audiences.
I mapped the product ecosystem to the diagnostic laboratory workflow and organized the curriculum around three capability categories used internally by Abbott:
From there I created a modular lesson structure where each product followed the same learning pattern. This allowed learners to recognize patterns across systems and reduced cognitive load when navigating the training.
To reinforce learning, each lesson concluded with a guided discussion scenario where the learner explored how the product might be explained to a laboratory leader or clinical stakeholder. These discussions simulated real conversations learners would have in the field.
Instructional Design Strategy
The instructional strategy focused on clarity, consistency, and applied understanding.
Content was organized using progressive disclosure so learners first understood the product ecosystem before diving into individual systems. Each product lesson used interactive elements to allow learners to explore capabilities at their own pace.
Scenario-based discussion segments were introduced to move learners from passive knowledge acquisition to practical application. These simulated conversations with laboratory managers, medical directors, and IT leaders helped learners practice explaining the value of the technology in real-world contexts.
Navigation and progress indicators were designed to help learners track their progress across the module. Color-coded milestone markers aligned with the three capability categories so learners could easily see which part of the portfolio they were exploring.
Internal Abbott stakeholders including:
Learners needed to understand how each informatics product supports laboratory workflows so they could effectively communicate product value and support customer conversations.
Instructional Designer and eLearning Developer
Responsibilities included:
Interactive eLearning module introducing the AlinIQ Informatics product portfolio.
Key features included:
The course enabled learners to build a clear mental model of how Abbott’s informatics solutions support operational efficiency, laboratory analytics, and clinical decision support across the diagnostic lifecycle.
What you will see in this module is a structured product education experience designed to help learners understand how multiple healthcare informatics systems work together across the diagnostic workflow.