AI-Assisted Design Workflow

How I use AI

AI speeds up my work in every phase of design, but it never replaces my judgment. Each phase below pairs what AI helps with and the human check that keeps the work accurate and learner-centered.

Phase 1: Analysis and needs discovery

Goal: Understand learner gaps, synthesize stakeholder input, and define the business problem.

AI assistance: Upload SME interview transcripts, raw notes, or survey data and ask AI to pull out key themes, common pain points, and action items.

Phase 2: Design and mapping

Goal: Map out learning objectives, course structure, and alignment.

AI assistance:

• After drafting learning objectives, ask AI to edit them for clarity and concision and align them with Bloom's Taxonomy.
• After drafting the course map and outline, ask AI to check for a coherent sequence from course goals to assessments.

Phase 3: Content authoring and scripting

Goal: Turn outlines into narration scripts, slide copy, and practice scenarios.

AI assistance: Give AI draft module copy, case studies, or video scripts to review for clarity and consistency.

Phase 4: Assessments and activities

Goal: Create valid knowledge checks, practice exercises, and feedback.

AI assistance: Have AI review draft assessment questions, scenarios, and discussion prompts to make sure they map directly to the learning objectives.

Phase 5: Media, visuals, and technical production

Goal: Build slide decks, storyboards, graphics, and interactive web or SCORM packages.

AI assistance:

• Use AI presentation and design tools to turn outlines and text into slide layouts or visual storyboards.
• Generate custom images or vector graphics with image generators.
• Add AI-driven scenarios to eLearning, such as connecting AI scenario blocks to Articulate Storyline through web objects.

Guardrails

Every AI-assisted draft is reviewed by me and the subject matter expert for accuracy, bias, and accessibility before it reaches learners. No confidential client content goes into public AI tools.