High-Impact AI Workflows for Faster, Better ID Work
Over the past several years—across contracts with organizations like Insulet, CData, and multiple Fortune-100 clients—I’ve refined a collection of 10 high-impact, battle-tested prompts that consistently accelerate my instructional design work by 50–70%. These aren’t generic templates or theoretical exercises. They were built directly from real client projects in medical-device training, sales enablement, LMS migrations, product education, and technical upskilling.
Think of this as my living prompt library—a set of reusable, modular workflows I rely on every day as an instructional designer. Each prompt is:
- Field-tested on complex, high-stakes content
- Reusable by simply customizing the [placeholders]
- Chainable to power multi-step workflows (e.g., SME Transcript → Scenario → Microlearning → Assessment)
- Continuously updated with new edge cases and lessons learned from client work
These prompts are grounded in the frameworks and certifications that shape my approach, including Microsoft Generative AI Professional (2024) and ESource Prompt Engineering (2024).
Below are two of the prompts I use most frequently—my daily workhorses for converting raw subject-matter input into polished, instructionally sound learning assets.
SME Transcript → Branching Scenario (Daily Driver for Scenario-Based Learning)
You are an expert instructional designer specializing in medical-device and technical training.
- Step 1 – Summarize the following SME transcript in exactly 150 words or less, using bullet points only.
- Step 2 – Extract 3 measurable learning objectives (Bloom’s “Apply” or higher) in the format: “The learner will be able to [verb] [content] [condition] [criterion].”
- Step 3 – Convert the content into a 3-branch scenario in second-person (“You are a field clinician…”). Include one correct path, one common mistake path, and one critical-error path.
- Step 4 – Write realistic dialogue and feedback for every choice (max 40 words each).
- Step 5 – Flag any medical accuracy, bias, or accessibility issues in your own output.
Generate Knowledge-Check Questions + Rationales (Bloom’s Analyze/Evaluate Focus)
From the text below, write 5 multiple-choice questions at Bloom’s Analyze/Evaluate level.
- For each question provide:
- 4 answer options (1 correct, 3 plausible distractors)
- Full rationale explaining why correct is correct and why each distractor is wrong
- Map each question to one of the stated learning objectives
These prompts represent the systems I rely on every day to deliver high-quality learning experiences quickly, consistently, and at scale. By sharing them, I hope to help other instructional designers reduce development time, strengthen SME collaboration, and unlock new creative possibilities with generative AI. As this library continues to evolve, I’ll keep adding refinements, edge cases, and new prompt workflows that emerge from real client work.
Want the full 10-prompt library?
This post includes just two of the high-impact prompts I rely on daily. If you’d like access to the complete 10-prompt library—including workflows for SME interviews, video-to-course pipelines, troubleshooting simulators, and assessment generation—click my portfolio link to get the full set.
