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Instructional Design Workflow
This page outlines my structured, repeatable approach to designing and developing learning experiences—beginning with a needs analysis and continuing through proposal development, prototyping, quality review, and evaluation. Grounded in ADDIE and design thinking principles, this framework ensures alignment, accessibility, and measurable impact across projects.
Step 1: Conduct a Needs Analysis
Diagnose the performance gap and determine whether training—and which type of intervention—is the appropriate solution.
ADDIE: Analyze
1. Gather Learner & Stakeholder Information
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Use strategies such as:
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Stakeholder/SME interview
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Learner survey
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Review of existing materials, feedback, or performance data
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Empathy Maps/Personas
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Task analysis
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2. Complete a Needs Analysis to determine
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The performance or outcome gap
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The root cause of the issue
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Whether training is the appropriate intervention
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The most effective solution (e.g., full e-learning course, microlearning, job aid, blended experience, or non-training solution)
Step 2: Define Design Direction & Develop Proposal
Translate the recommended intervention into a structured design plan aligned with learner needs and stakeholder expectations.
ADDIE: Design
1. Gather Design Inputs
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Stakeholder completes the Initial Design Intake Form to capture:
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Project Context
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Learner Experience
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Style Preferences
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2. Conduct Internal Ideation
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Explore possible structural and instructional approaches using strategies such as:
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Brainstorming
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Mind mapping
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The 3 Model Exercise
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Learner journey mapping
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3. Develop Design Proposal
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Create a structured proposal that includes:
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High-level course/module structure
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Instructional approach
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Assessment strategy
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Interaction level
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Visual direction
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Timeline overview
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Low-fidelity prototype of key pages or interactions
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4. Validate & Refine
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Present the design proposal and prototype to stakeholders to:
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Confirm alignment
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Gather feedback
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Refine direction before full development
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Design Proposal for Kansas State University
A strategic instructional design plan for an AI Literacy Microcredential supporting K–12 educators.
Step 3: Prototype with Content & Instructional Inputs
Incorporate finalized instructional inputs and develop a high-fidelity prototype to validate content alignment, interaction design, and learner experience before full production.
ADDIE: Develop
1. Collect Instructional Inputs
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Stakeholder completes the Content Upload & Course Materials Form, which includes:
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Learning objectives
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Assessment requirements or preferences
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Existing content or source materials
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SME notes, constraints, or clarifications
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2. Develop High-Fidelity Prototype
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Create a representative, content-accurate prototype that demonstrates:
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3–6 key slides or pages
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One complete interaction (e.g., scenario, knowledge check, guided practice)
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Navigation and pacing structure
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Applied visual system
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Sample assessment item(s)
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Step 4: Full Development & Internal Review
Build the complete learning experience based on the approved high-fidelity prototype.
ADDIE: Develop
1. Complete Full Module/Course
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Build all lessons, interactions, and assessments
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Apply the approved instructional structure
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Implement the finalized visual system and navigation
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Ensure accessibility and usability standards are met
2. Conduct Internal Quality & Accessibility Review
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Verify alignment between objectives, content, and assessments
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Test functionality, navigation, and technical performance
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Review clarity, pacing, and consistency of learning materials
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Conduct the following reviews:
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Quality Matters - ensure instructional quality and alignment
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WCAG 2.2 AA - ensure accessibility and usability
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Universal Design for Learning (UDL) - ensure inclusive, learner-centered experiences
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3. Validate & Refine
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Present the completed module/course for stakeholder review to:
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Gather structured feedback
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Revise based on stakeholder input
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Step 5: Pilot, Evaluate & Refine
Test the learning experience with users and evaluate effectiveness before or during implementation.
ADDIE: Implement/Evaluate
1. Pilot the Module/Course (as appropriate)
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Share with representative learners
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Observe usability and engagement
2. Collect & Analyze Data
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Gather learner feedback (surveys, interviews, reflections)
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Review assessment results and performance data
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Identify usability issues or content gaps
3. Refine & Finalize
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Implement data-informed revisions
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Confirm readiness for full rollout
