Design Process & Strategy
Moving from deep needs analysis to scalable, codified instructional solutions. I specialize in establishing reusable design patterns and brand systems that ensure systemic consistency and cultural responsiveness across global initiatives.
Front-End Analysis: Conducting root-cause and gap analyses with stakeholders to align learning goals with organizational ROI.
Instructional Blueprints: Developing comprehensive curriculum maps and storyboards that scaffold knowledge from "Not Knowing" to "Mastery".
Brand System Codification: Establishing typography, color palettes, and component libraries to streamline cross-functional production.
Iterative Evaluation: Implementing LTEM and Kirkpatrick frameworks to measure performance and guide continuous improvement
Standards Alignment & Mapping (Performance Goal Alignment).
Needs Analysis
Learning science & UDL
Accessibility & Cultural Responiveness
Engagement & UX Strategy
UbD (Backward Design) & Instructional Alignment (LOs & assessment)
Front End docs: IDD, Script, blueprints, etc.
Logic builds & Technical Protoyping
QA protocols: Data & Evaluation (outcome Metrics)
Learner FB & Interation
Megan Torrance’s work on LLAMA (Agile for Learning)
Will Thalheimer’s L-TEM (Learning-Transfer Evaluation Model)
My design practice is rooted in the science of how individuals process, retain, and transfer information. I leverage Universal Design for Learning (UDL) and cognitive psychology to purposefully manage cognitive load and sustain engagement. To me, accessibility and cultural responsiveness are not final-stage checklists; they are the foundational architecture of every project. By designing for the margins from the very beginning, I build equitable, inclusive environments that ensure every learner has a clear, unobstructed pathway to mastery.
Cognitive & Behavioral Science: Purposefully managing cognitive load and leveraging productive friction to sustain engagement and knowledge transfer.
Universal Design for Learning (UDL): Providing multiple pathways for representation, engagement, and action to ensure equitable access to rigorous content.
Embedded Accessibility: Treating inclusivity as foundational architecture—not a final-stage checklist—by designing for the margins from day one.
Cultural Responsiveness & SEL: Cultivating environments built on relational trust, honoring diverse backgrounds, and supporting neurodivergent processing.
DEPDC Learner Persona
Needs Analysis
Task Analysis (excerpt from Workbook)
DEPDC Accessibilty
PYD Curriculum Crosswalk
Standards Translation: Converting national and state benchmarks directly into targeted, measurable learning objectives.
Organizational KPIs: Aligning instructional outcomes with overarching district, stakeholder, or business performance goals.
Performance Benchmarking: Defining clear success metrics and required behavioral changes to ensure the learning solves the actual problem.
Gap Analysis: Identifying the exact distance between current learner capacity and the targeted organizational outcomes.
DEPDC Gap Analysis Action Map
DEPDC Performance Goals & Organizational Goals
DPD Learner Matrix
DEPDC IDD
DEPDCStoryboard
UbD (Backward Design) & Instructional Alignment (LOs & assessment) --> (NLW's DIgitaized Toolbook)
Logic builds & Technical Protoyping
Assessment Coherence: Designing valid performance tasks that accurately prove skill mastery and knowledge transfer.
Cross-Curricular Mapping: Identifying interdisciplinary concepts to create cohesive, relevant learning arcs
THINKING SKILLS - MY OWN, Costa's "16 Habits of Mind" / Not just what, but how
DEPDC Gap Analysis
DEPDC Performance & Organizational Goals
Context & Challenge: In scenario-based learning modules, traditional slide duplication and stagnated iteration can lead to bloated files and fragmented learner flow. As pathways expand, file size, repetition, and maintenance become increasingly complex and inefficient.
Design Solution: I engineered a Dynamic Single-Slide Logic Engine. BInstead of building separate slides for each interaction step, I designed one adaptive interface that updates content, feedback, and logic based on a master progression variable.
A master variable (QuestionCount) tracks learner progression.
The base layer dynamically updates content (text and graphics) based on the variable's current value.
Conditional trigger logic evaluates learner input in real time
Why this matters: This project demonstrates systems-level instructional thinking. Rather than designing slides, I designed an interaction architecture that supports scalable, maintainable, and fluid learning experiences
Reduced slide count by 85% (1 slide doing the work of 7+).
New questions can be added simply by updating the state list and trigger logic, without duplicating layouts.
Created a seamless user experience with zero slide-load latency between questions.
Enabled rapid content expansion without structural redesign
Befores & Afters
This prototype represents an early build created to explore Lectora's responsive course design and WCAG accessibility features. The focus was on learning the platform, structuring content with variables and condition logic, and organizing the Project Explorer.
Lectora (eLearning development)
NightCafe (AI-generated custom graphics that are still undergoing development for standardization)
Canva (graphic editing and layout refinement)
Google AI Studio (AI voiceover)
Manual SRT file creation (for custom closed captions)
Click the image:
iSPring MVP in HTML.
This prototype (TBC)
iSpring & MS PPTX
ChatGPT (AI-generated custom graphics)
Canva (graphic editing and layout refinement)
Google AI Studio (AI voiceover)
Manual SRT file creation (closed captions))