Bias-Free Selling:
AI-Powered Feedback
for Corporate Training
Course Audience
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Car sales representatives working in customer-facing roles
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Experience levels range from new hires to mid-career professionals
My Role
I am the Instruction Designer
Graphic Designer,
and Developer in this project.
Tool Used
JavaScript API Integration
Articulate StoryLine
Figma
Google Doc
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Problem
Traditional corporate and sales training programs, especially those delivered through eLearning platforms, often lack immediate feedback and offer no meaningful way to analyze learner responses quantitatively.
As a result, learners receive limited guidance on how to improve in real time, and instructional designers miss the opportunity to understand learner thinking or measure the effectiveness of reflection-based training.
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Solution
To address this gap, I designed a custom Node.js API and embedded it directly into an Articulate Storyline course.
This API analyzes learners' free-text reflection responses using a language model and provides immediate, personalized feedback based on their input.
The approach not only enhances learner engagement and promotes metacognitive thinking, but also lays the groundwork for scalable, data-driven evaluation of learning patterns in corporate training.
Project Focus
The course was developed as a scenario-based example to serve as a practical testbed for embedding and demonstrating this custom API within a real eLearning environment.
By building a lightweight yet realistic module in Articulate Storyline, I was able to simulate how a corporate training course could deliver personalized, real-time feedback on learner reflections, powered by a backend I built using Node.js and OpenAI.
Despite being a demonstration, the course content is grounded in learning sciences. I used the Backward Design model to ensure alignment between learning goals, instructional activities, and assessment. The course includes:
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Clearly defined learning objectives centered on bias mitigation in sales interactions
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Scenario-based branching content designed to reflect realistic workplace decisions
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Assessments including multiple choice, self-reflection, and scenario practice
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Immediate feedback powered by my custom API
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Fully custom visual and character design, built in Figma and implemented in Storyline
AI-Powered
Immediate Feedback
The images below illustrate the end-to-end flow of the AI-powered feedback system embedded in the course. This interaction simulates how a learner submits a reflection, receives feedback in real-time, and experiences differentiated responses based on input quality and confidence.
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The learner reflects on their greeting habits in customer interactions. In this example, they recognize a bias in who they prioritize and express intent to be more inclusive. This free-text input will be evaluated by the AI feedback grader.
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After submission, the system returns tailored, affirming feedback. The API acknowledges the learner’s insight and reinforces inclusive behaviors with a supportive message, encouraging further growth.
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If the learner submits an unsure or minimal response, the feedback grader offers empathetic encouragement. Rather than penalizing uncertainty, the system reassures the learner and sets expectations for future lessons.