Learning complex technology shouldn’t feel complicated.
I’m a customer education and product enablement professional who creates engaging videos, approachable documentation, and self-service learning resources for complex software. I turn technical features and workflows into clear learning experiences that help customers understand products, adopt them confidently, and succeed with them.
Explore examples of my work below, or view my portfolio of case studies for a deeper look at how I approach customer education and product enablement.
Identity Security: When MFA Isn’t Enough
A scenario-based customer enablement video designed to help customer-facing teams identify the right identity security story and keep product demonstrations focused on the customer’s actual business need.
This video follows a customer conversation in which multifactor authentication is already in place, but suspicious authentication activity suggests employee credentials may have been compromised. Rather than beginning with product features, the learner is guided through identifying the customer’s underlying security concern and determining which information and capabilities are most relevant to demonstrate.
The story shows how to set up a focused demonstration, avoid feature dumping, respond effectively to customer questions, and connect technical findings back to customer value. An interactive knowledge check asks viewers to choose the strongest response to a customer concern, reinforcing the importance of acknowledging existing security controls while explaining the additional context identity security technology can provide.
The video concludes with a reusable framework for shaping customer conversations around three questions: What did the customer tell you? What does the technology reveal? What can the customer do with that information? A final “Your Turn” scenario gives learners an opportunity to apply the approach to a new identity security situation.
The video reinforces a simple principle: Don’t start with the product. Start with the customer.
I developed the original concept and instructional approach, created the customer scenario and simulated security interface, wrote the script and narration, designed the knowledge check and practice activity, produced the visual assets and animation, edited the finished video, and added synchronized captions for accessibility.
Audience: Sales engineers, solution consultants, customer-facing technical teams, and others who demonstrate identity security technology to customers
My role: Instructional design, concept development, scenario development, scriptwriting, narration, interface simulation, visual design, animation, assessment design, captioning, and video production
Tools: ChatGPT, Vyond, and Camtasia
Learning goal: Help viewers identify the customer’s underlying identity security concern, select the most relevant information to demonstrate, avoid feature-focused demonstrations, respond effectively to customer questions, and connect technical capabilities to meaningful customer outcomes.
© 2026 Angie Linder. All rights reserved. This video—including its original script, narration, editing, and instructional design—is the work of Angie Linder. It may not be copied, republished, redistributed, modified, included in another portfolio, used in training materials, or presented as another person’s work without prior written permission, except as permitted by law. Linking to this page is welcome.
AI Literacy Microlearning: Brief. Build. Verify.
A scenario-based AI literacy video designed to help employees use generative AI responsibly while maintaining accuracy, protecting sensitive information, and applying professional judgment.
This video follows Jessica, an employee who needs to turn a page of messy meeting notes into a clear customer update. With only 20 minutes and competing priorities, she asks an AI assistant for help, but her vague instructions produce a polished response that says very little.
The story introduces the Brief. Build. Verify. framework for improving AI-assisted work. Jessica first briefs the AI with approved information, clear expectations, audience needs, and formatting requirements. She then builds the response through specific feedback, refinement, and her own subject-matter expertise. Finally, she verifies the draft against the original source, checking its accuracy, completeness, confidentiality, audience fit, and overall quality before using it.
The video reinforces that AI can accelerate the work, but human judgment completes it.
I developed the original concept and character, planned the instructional approach, and used ChatGPT to help write the script and narration. I created the simulated AI interactions, animated the scenario, edited the finished video, and added synchronized captions for accessibility.
Audience: Employees who use generative AI to create workplace communications, documents, or customer-facing content
My role: Instructional design, concept and character development, scenario development, scriptwriting, narration, interface simulation, animation, captioning, and video production
Tools: ChatGPT, Vyond, and Camtasia
Learning goal: Help viewers use the Brief. Build. Verify. framework to provide clear instructions, improve AI-generated content through collaboration, and verify accuracy, confidentiality, and quality before using the final result.
© 2026 Angie Linder. All rights reserved. This video—including its original script, narration, editing, and instructional design—is the work of Angie Linder. It may not be copied, republished, redistributed, modified, included in another portfolio, used in training materials, or presented as another person’s work without prior written permission, except as permitted by law. Linking to this page is welcome.
Cybersecurity Awareness Microlearning: Boss Impersonation
A scenario-based cybersecurity microlearning video designed to help employees recognize and respond to AI-enabled boss impersonation attacks.
This video follows Maya Culpa, an employee who receives an urgent request from someone claiming to be a company executive. The request involves confidential customer information, pressure to bypass normal procedures, instructions to keep the request secret, and a convincing phone call using a familiar voice.
The story first demonstrates how social-engineering tactics can lead to a costly mistake, then revisits the situation to identify the warning signs and model the correct response. Viewers learn to close the original request, contact the person through a known channel, verify the request independently, and report the suspicious message to the security team.
I developed the original concept and characters and planned the instructional approach. I used ChatGPT to help with the script, narration, and dialogue. I created the animated scenario, edited the finished video, and added synchronized captions for accessibility.
Audience: Employees who handle company, customer, financial, or account information
My role: Instructional design, concept and character development, scenario development, scriptwriting, narration, animation, captioning, and video production.
Tools: ChatGPT, Vyond, and Camtasia
Learning goal: Help viewers recognize the warning signs of an AI-enabled impersonation attack and verify sensitive requests through a trusted communication channel before taking action.
© 2026 Angie Linder. All rights reserved. This video—including its original script, narration, editing, and instructional design—is the work of Angie Linder. It may not be copied, republished, redistributed, modified, included in another portfolio, used in training materials, or presented as another person’s work without prior written permission, except as permitted by law. Linking to this page is welcome.
Create a Multi-Stop Map with Google My Maps
A task-focused software tutorial designed to make creating a custom multi-stop itinerary approachable and easy to follow.
I created this video to guide new Google My Maps users through building, customizing, organizing, and sharing an interactive map. The demonstration uses a realistic Saturday itinerary, Vintage Day in Denver, featuring coffee, vintage shopping, art, dinner, and drinks.
I developed the scenario and itinerary, planned the instructional approach, wrote the script and narration, recorded the software workflow, and edited the finished video. The tutorial introduces each feature when it is needed, focusing on the essential steps required to turn a list of destinations into an organized, shareable driving route.
Audience: Adults with basic web-browsing skills who are unfamiliar with Google My Maps
My role: Instructional design, scenario development, scriptwriting, software demonstration, narration, screen recording, and video production
Tools: Camtasia, Vyond, Snagit, and Google My Maps
Learning goal: Show viewers how to create, customize, organize, and share a multi-stop itinerary using Google My Maps
© 2026 Angie Linder. All rights reserved. This video—including its original script, narration, editing, and instructional design—is the work of Angie Linder. It may not be copied, republished, redistributed, modified, included in another portfolio, used in training materials, or presented as another person’s work without prior written permission, except as permitted by law. Linking to this page is welcome.
Managing Billing for New Accounts
A task-focused software tutorial designed to simplify a complex account-setup workflow.
I created this video to guide administrators through the available choices for creating user accounts and help them make the appropriate selections with greater confidence.
I planned the instructional approach, wrote the script and narration, recorded the software workflow, and edited the finished video. The content focuses only on the information needed to complete the task, turning a feature-heavy screen into a clear, manageable process.
Audience: Customer administrators
My role: Instructional design, scriptwriting, software demonstration, narration, recording, and video production
Tools: Camtasia, Vyond, and nVoq Administrator
Learning goal: Enable administrators to select and configure the appropriate billing options while creating a new account.
Portfolio work sample: I created this video as part of my work for nVoq, Inc. It is displayed here solely to demonstrate my instructional design and video-production experience. Copyright © nVoq, Inc. All rights reserved. Please do not copy, download, embed, redistribute, or link directly to this video.
Voice Assistant Conversation Capture
A task-focused software tutorial demonstrating how healthcare professionals can turn recorded conversations into usable clinical documentation.
I created this video to guide clinicians through Conversation Capture, a Voice Assistant feature that records and transcribes conversations with patients or care teams. The tutorial shows users how to capture a conversation, review the resulting transcript, and use it to create clinical documentation.
I planned the instructional approach, wrote the script and narration, recorded the Android workflow, and edited the finished video. I focused the content on the essential steps and decisions, making a potentially unfamiliar AI-assisted workflow feel clear and manageable.
I also wrote the accompanying Conversation Capture instructions.
Audience: Healthcare clinicians
My role: Instructional design, scriptwriting, software demonstration, narration, screen recording, and video production
Tools: ChatGPT, Camtasia, Vyond, and nVoq Voice for Android
Learning goal: Enable clinicians to record and transcribe conversations with patients or care teams and use the resulting content to create clinical documentation.
Portfolio work sample: I created this video as part of my work for nVoq, Inc. It is displayed here solely to demonstrate my instructional design and video-production experience. Copyright © nVoq, Inc. All rights reserved. Please do not copy, download, embed, redistribute, or link directly to this video.
Leave It to Voice Assistant:
Speak Specifics Out Loud
A microlearning video designed to reinforce a communication practice that helps clinicians create more complete clinical documentation with Voice Assistant.
I created this video in collaboration with nVoq’s Clinical Customer Experience team, which developed the script and narration content. Using that material, I recorded the Voice for Android workflow and produced the finished video in Camtasia and Vyond, combining software demonstration, animation, narration, and visual reinforcement.
The video reminds clinicians to verbalize relevant clinical details during patient visits rather than leaving important information implied. Saying those details aloud allows Voice Assistant to capture them in the conversation transcript, which can then be incorporated into the resulting clinical documentation.
Audience: Healthcare clinicians
My role: Cross-functional collaboration, Android workflow recording, animation, narration production, video editing, and multimedia production
Tools: ChatGPT, Camtasia, Vyond, and nVoq Voice for Android
Learning goal: Reinforce the importance of stating specific clinical information aloud so Voice Assistant can capture it for the clinical notes.
Portfolio work sample: I created this video as part of my work for nVoq, Inc. It is displayed here solely to demonstrate my instructional design and video-production experience. Copyright © nVoq, Inc. All rights reserved. Please do not copy, download, embed, redistribute, or link directly to this video.