{"id":5130,"date":"2025-06-01T04:17:48","date_gmt":"2025-06-01T04:17:48","guid":{"rendered":"https:\/\/veethompson.com\/?p=5130"},"modified":"2025-07-31T05:12:35","modified_gmt":"2025-07-31T05:12:35","slug":"generative-ai-use-cases-for-instructional-designers-and-ld-teams","status":"publish","type":"post","link":"https:\/\/www.veethompson.com\/?p=5130","title":{"rendered":"GenAI Use Cases for Instructional Designers and L&D Teams"},"content":{"rendered":"

Instructional designers and L&D professionals, welcome to your AI era. Between storyboarding a new micro-course, revamping an onboarding program, or fielding five SME calls all before noon, you\u2019ve probably wondered:\u00a0\u201cCan AI actually help me?\u201d<\/em><\/strong><\/p>\n

This article isn\u2019t a deep dive into some far-off tech future; it\u2019s a hands-on guide for people who care about building clear, useful learning experiences that actually work in the real world.<\/p>\n

Here, you\u2019ll find real-world use cases of generative AI for instructional design and learning & development professionals. Things you can actually apply and ideas that don\u2019t require a PhD in prompt engineering. And, because life\u2019s too short for vague tech speak, we\u2019ll connect the dots between AI and what you\u2019re already doing every day.<\/p>\n

\"Illustration

Illustration of a smiling human and humanoid robot sharing a high-five (Midjourney, 2025).<\/p><\/div>\n

Three Big Wins for Learning Teams Using GenAI<\/h2>\n

1. Accelerate Progress<\/h3>\n

Speed is a beautiful thing, when it doesn\u2019t cut corners. While AI can\u2019t replace your experience or creative instinct, it\u00a0can<\/em>\u00a0<\/strong>cut down the time it takes to go from idea to implementation.<\/p>\n

Say you\u2019re building a conflict resolution course for frontline managers and need a realistic scenario to kick things off. You\u2019ve got your core outcomes and a rough outline, but you\u2019re stuck staring at your screen. This is where AI can step in to speed up your brainstorming process and sketch out a rough draft.<\/p>\n

\n

Prompt Example:<\/strong>
\n\u201cGenerate a workplace scenario involving a conflict between two team members about missed deadlines. Include dialogue that shows different conflict styles.\u201d<\/p>\n<\/blockquote>\n

2. Increase Productivity<\/h3>\n

There\u2019s busy\u2026and then there\u2019s instructional design busy. If your to-do list looks like a multi-tab spreadsheet held together by conditional formatting and a prayer, AI can step in. It\u2019s like hiring a personal assistant who never sleeps, doesn\u2019t mind the grunt work, and won\u2019t judge you for still being in sweats at 2 p.m.<\/p>\n

Say you\u2019ve just wrapped a new onboarding course and need to prep a facilitation guide for the trainer. You can try this:<\/p>\n

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Prompt Examples:<\/strong>
\n\u201cDraft a trainer\u2019s facilitation guide using this slide deck and speaker notes. Include key talking points, timing suggestions, and tips for audience engagement.\u201d<\/p>\n<\/blockquote>\n

3. Strengthen Governance + Brand Voice<\/h3>\n

Good instructional design doesn\u2019t just\u00a0inform<\/em><\/strong>,\u00a0<\/strong>it reflects your brand. When courses come from ten different contributors, it shows. One module sounds like a legal memo, another reads like a group text. AI can help by checking tone, flagging off-brand language, and making sure content stays clear and accessible.<\/p>\n

Say you\u2019re developing compliance training for a healthcare organization. Between tone restrictions, ADA guidelines, and a long list of what\u00a0not<\/em>\u00a0<\/strong>to say, the margin for error is small. Before you finalize course content, cue up a prompt like this:<\/p>\n

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Prompt Example:<\/strong>
\n\u201cReview this course script and revise any sections that don\u2019t align with our brand tone. Make it compliant with accessibility standards (e.g., plain language, avoid idioms, use short sentences).\u201d<\/p>\n<\/blockquote>\n

\"Illustration

Illustration of a person facing their computer with a humanoid robot on screen (Midjourney, 2025).<\/p><\/div>\n

For Instructional Designers<\/h2>\n

Instructional design is equal parts creative spark, learning science, and deciphering the SME email that landed in your inbox at 11pm. You\u2019re expected to build experiences that are outcomes-aligned, learner-friendly, media-rich, accessible, inclusive, and oh yeah…done by Friday<\/em><\/strong>.<\/p>\n

That\u2019s where generative AI can step in. It’s not meant to replace your brain (or your knack for turning chaos into clarity), but to give you back some breathing room, to help you design smarter, think deeper, stress less, and maybe even reclaim your weekends.<\/p>\n

Here\u2019s how instructional designers are using AI as their go-to collaborator.<\/p>\n

1. Generate Course Outlines Based on Learning Outcomes<\/h3>\n

Solid learning objectives are the backbone of any good course. Turning those into a full course structure, that\u2019s where the heavy lifting begins. With generative AI, you can prompt a course outline based on your learning goals, audience, and delivery format. Want it mapped to Bloom\u2019s taxonomy? With scaffolding built-in? Aligned to a specific modality? Simply ask.<\/p>\n

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Prompt Example:<\/strong>
\n\u201cCreate a course outline for [topic] designed for [audience type, e.g., new managers in healthcare]. Align it to [Bloom\u2019s level, e.g., application and analysis], include 5\u20136 modules, and suggest assessment types and delivery formats (e.g., video, interactive, text-based).\u201d<\/p>\n<\/blockquote>\n

\u2666\ufe0f Design Tip:\u00a0<\/strong>Ask for suggested formats for each module (i.e., videos, case studies, interactive quizzes, reflection prompts).<\/p>\n

2. Write Scenarios and Branching Dialogues<\/h3>\n

Building realistic simulations or choose-your-path scenarios takes time. Like, a lot of time. AI can help you script scenario-based dialogues with multiple outcomes, emotional tone variations, and context-specific responses. Let\u2019s say it\u2019s a customer conflict simulation or a leadership dilemma, you can generate branching scripts in minutes and then refine them like the brilliant editor that you are.<\/p>\n

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Prompt Example:<\/strong>
\n\u201cGenerate a branching scenario for a training module on [topic]. The learner should face a decision with three options, each leading to a different consequence. Include realistic dialogue, emotional cues, and a brief debrief for each outcome.\u201d<\/p>\n<\/blockquote>\n

\u2666\ufe0f Design Tip:\u00a0<\/strong>Try building a soft-skills simulation with three learner choices per scene and built-in feedback tied to each decision path.<\/p>\n

3. Summarize SME Transcripts<\/h3>\n

We love our SMEs, but their 60-minute lecture recordings\u2026not so much. Instead of replaying the same audio five times to catch that one quote about compliance training, AI can transcribe, summarize, and highlight key moments for you. In minutes, you\u2019ll have the major talking points, action items, potential learning objectives, and even quotes to use in your content.<\/p>\n

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Prompt Example:<\/strong>
\n\u201cSummarize this transcript into 5 key points, highlight any action items or course-relevant examples, and identify content that could be used for quiz questions or discussion prompts.\u201d<\/p>\n<\/blockquote>\n

\u2666\ufe0f Design Tip:\u00a0<\/strong>Ask AI to extract quiz-worthy content or suggest potential module titles based on the transcript.<\/p>\n

4. Repurpose Existing Content<\/h3>\n

You know that one PDF the instructor swears \u201chas everything you need?\u201d Cool. Except it is long, text-heavy, and not exactly ready for the modern learner. AI can help you break it into something a lot more learner-friendly. Upload it, prompt AI to chunk it, and watch as it transforms into Rise micro-modules, quiz questions, visual slide prompts, or text for a video explainer.<\/p>\n

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Prompt Example:<\/strong>
\n\u201cBreak this PDF content into short learning segments suitable for Rise 360. For each segment, write a brief intro, 2\u20133 key takeaways, and a knowledge check question. Keep tone conversational and learner-friendly.\u201d<\/p>\n<\/blockquote>\n

\u2666\ufe0f Design Tip:\u00a0<\/strong>Try turning a dense policy doc into a compliance eLearning course with a quiz, a scenario, and a knowledge check all in one session.<\/p>\n

5. Generate Assessments at Bloom\u2019s Levels<\/h3>\n

Writing solid multiple-choice questions is its own kind of art. Writing them at the\u00a0right<\/em>\u00a0<\/strong>level of Bloom\u2019s is another story. AI can help you build both formative and summative assessments aligned to specific cognitive levels, without spending your whole afternoon in analysis paralysis.<\/p>\n

Whether you need application-level questions with targeted feedback or evaluation prompts for a discussion board, you don\u2019t need to start from scratch anymore.<\/p>\n

\n

Prompt Example:<\/strong>
\n\u201cWrite 5 multiple-choice questions for [topic], targeting the \u2018analyze\u2019 level of Bloom\u2019s taxonomy. Include four answer options per question, explain the correct answer, and provide brief feedback for each option.\u201d<\/p>\n<\/blockquote>\n

\u2666\ufe0f Design Tip:\u00a0<\/strong>Use AI to rewrite questions for accessibility, reword for plain language, or tailor content for specific learner audiences. That way, your assessments meet more learners where they are.<\/p>\n

6. Draft Rubrics or Align with Learning Standards<\/h3>\n

Rubrics: essential, but time-consuming especially when you\u2019re aligning to UDL, Quality Matters, or your institution\u2019s internal review checklist. AI can help you draft rubrics, polish criteria language, and ensure consistency across your deliverables.<\/p>\n

Just feed it your learning outcomes and assignment type, and watch it create scoring levels, criteria descriptions, and alignment suggestions. Use it as a starting point, then layer in the nuance that only\u00a0you<\/em><\/strong>can bring.<\/p>\n

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Prompt Example:<\/strong>
\n\u201cCreate a 3-level rubric (Developing, Proficient, Advanced) for a multimedia assignment on [topic]. Each row should evaluate criteria such as content accuracy, creativity, technical quality, and learner engagement. Align this rubric with Universal Design for Learning (UDL) and check for inclusive language.\u201d<\/p>\n<\/blockquote>\n

\u2666\ufe0f Design Tip:\u00a0<\/strong>Ask AI to check your rubric language for potential bias or vague phrasing because clarity and inclusivity are not just nice-to-haves, they are essential for fair evaluation.<\/p>\n

Case Study: From Content Chaos to Cohesion<\/h2>\n

The Challenge<\/h3>\n

A university instructional design team is knee-deep in over 20 simultaneous online course builds. Each course had its own instructor, tone, pacing, and (let\u2019s be honest) wildly different definitions of \u201cdone.\u201d One week they were reworking a course written like a TED Talk, and the next they were deciphering PowerPoint slides that looked like they were exported from 2003.<\/p>\n

Consistency is elusive, deadlines are looming, and you’re getting non-stop slack messages asking, \u201cIs this the final<\/strong><\/em> version?\u201d<\/p>\n

The Solution<\/h3>\n

The team uses ChatGPT<\/a> to streamline their design workflows and create a scalable, repeatable system that cuts down on chaos and levels up quality. With ChatGPT, they are able to:<\/p>\n