I design learning interventions that support business goals, culture, and performance. I use ADDIE for larger, structured programs and Rapid Prototyping when speed matters. After launch, I put processes in place to keep content useful, engaging, compliant, and up to date.
Not every performance problem needs training.
I start with the business need, not the request for a course. I identify needs, whether they surface reactively or proactively, across four levels: business, performance, organizational capability, and individual capability. I then determine whether the need is tactical or strategic. Tactical needs, where the request is narrow and the solution is already defined, move quickly into solution design, while strategic needs require deeper analysis to understand the root cause and recommend next steps. From there, I design and implement the right solution, measure the results, report what worked, and create a plan to sustain the impact.
For strategic needs, this is how I determine whether training will actually solve the problem.
I compare expected and actual performance to identify the gap, then determine what’s causing it, from expectations, feedback, tools, and incentives to knowledge, skills, capacity, and motivation. If training is the right solution, I weigh the expected benefits against the cost and build the business case. If it isn’t, I work with the right teams to address the root cause instead of building a course that won’t solve the problem.
See how a needs analysis identified solutions beyond training, leading to a broader performance consulting approach. →
I use five instructional design frameworks to create practical learning experiences that improve performance. ADDIE and Rapid Prototyping guide most of my work, depending on the project’s size, complexity, and timeline. I use the other three for more specific needs.
Click each framework below to see when and how I use it.
ADDIE provides a structured, step-by-step approach for developing learning solutions that are systematic, scalable, and aligned with business goals. It’s ideal for projects that require clear structure, documentation, and measurable results.
Best Use: Large-scale or complex programs that need full end-to-end instructional design—such as leadership development, onboarding, or compliance training.
Rapid Prototyping is an agile, hands-on method that speeds up learning design through early testing and continuous feedback. It’s built around quick iterations, collaboration, and flexibility, helping teams refine learning experiences in real time.
Best Use: Building and testing learning products like eLearning modules, simulations, or digital courses that need quick turnaround and frequent iteration.
Design Thinking is a human-centered approach that brings empathy, creativity, and experimentation into the learning process. It helps teams deeply understand their audience and design experiences that truly resonate and drive behavior change.
Best Use: Solving complex learning or performance challenges that require innovation—such as culture transformation, process optimization, behavior change, or learner engagement strategy.
Task Analysis breaks a job or process into clear steps to understand how work gets done. It identifies the actions, decisions, knowledge, and tools employees need to perform effectively. I use it to create practical job aids and checklists or to find inefficiencies, simplify workflows, clarify roles, and improve processes.
Best Use: Designing job aids, SOPs, or process training where accuracy, consistency, and clarity are critical—such as operations, customer support, or technical environments.
Content Development Sprints are focused two-week cycles that bring subject matter experts, instructional designers, and instructors together to build learning programs quickly. This approach can take a program from design to pilot in three to five weeks.
Best Use: Building technical or certification-based training programs that require deep expertise, high-quality content, and quick turnaround—from design to delivery.
AI doesn’t replace good instructional design. It makes it faster and more responsive.
I use AI across the learning process to speed up development, personalize learning, and connect programs more closely to business needs. Here are some examples:
Personalized Learning: Tailor learning to an employee’s role, skill level, performance, and career goals.
Skills Intelligence: Use data to identify skill gaps, emerging needs, and learning priorities.
Faster Content Design: Turn expert knowledge into courses, job aids, simulations, and microlearning faster.
Practice-Based Learning: Create realistic scenarios where employees can practice skills before using them on the job.
Performance Coaching: Build AI agents that provide guidance, practice, and feedback while employees work.
Better learning comes from using the right mix of methods, not creating more content.
Organizations using fewer than four learning methods see about a 50% success rate, while those using eight or more can exceed 70%. I build learning experiences using four types of methods:
Digital & On-Demand: Self-paced eLearning, mobile learning, microlearning, and AI-powered adaptive learning.
Facilitated & Structured: Instructor-led training and blended programs that combine self-paced and live learning.
Experiential & Applied: Role-plays, simulations, stretch assignments, and learning through real work.
Social & Collaborative: Peer learning, coaching, mentoring, and collaborative group learning.
I choose learning technology based on what the experience needs, across four areas: tools to create content, platforms to deliver learning, systems that support knowledge sharing and collaboration, and HR, talent, and AI tools that connect learning to the broader employee experience.
Content Creation & Authoring Tools
Articulate
Adobe Captivate
Canva
Camtasia
iMovie
Adobe Photoshop
AI
Learning Management & Delivery
Cornerstone
Litmos
Saba
LinkedIn Learning Hub
KnowBe4
Inkling
AI
Knowledge & Collaboration Platforms
Slack
Confluence
SharePoint
Oak Engage
Simpplr
WordPress
Google Suite
HRIS, Talent &
AI Systems
Workday
PeopleSoft
Lattice
ChatGPT
Gemini
Copilot
Claude
A learning platform is only as good as the rollout behind it.
I led the full rollout of a global LMS, from identifying needs and building the project team to design, launch, and ongoing management, expanding access to learning worldwide.
If I can’t measure it, I don’t claim it worked.
I use the Kirkpatrick Model (Levels 1–5) to measure learning, behavior change, performance improvement, business impact, and ROI, with clear metrics at each level to show what worked and the value it delivered.
Reaction: Measure how participants felt about the learning, including engagement, relevance, and satisfaction.
Learning: Measure what participants learned, including changes in knowledge, skills, or attitudes.
Behavior (Behavioral Changes): Measure whether participants apply what they learned on the job.
Results (Business Impact): Measure how those changes affect business performance, KPIs, and organizational goals.
ROI (Return on Investment): Compare the financial benefits of the learning to its cost to determine the return on investment.