About

Who I am: I am a learning strategist with 8+ years building and scaling learning solutions, and stewarding learning systems across small businesses, learning institutions, and large enterprises, and across industries including tech, education, and financial services. That breadth has sharpened how I think. I know how to design for complexity, how to maintain quality and intent as programs grow, and how to move between strategy and execution without losing either.

I bring a genuine belief that great learning design is both a craft and a system. It is not enough to build something that works once. The real challenge is building something that holds up as it scales across teams, roles, regions, and time. At the core of everything I build is a simple belief: when people feel set up for success, they grow organically, and that growth creates a ripple effect on culture, confidence, and performance. That is the kind of impact I am always designing toward, whether I am working with a team of 5 or an organization of 26,000.

My process: I start with the problem and the people impacted by it, not the content. Before I build anything I talk to users, learners, facilitators, and stakeholders to understand how they actually think, work, and get stuck. From there I pull from design thinking and instructional design methodologies, using information architecture, content strategy, and UX patterns to build experiences that guide with clarity, reducing friction where it gets in the way and introducing it intentionally where the good struggle is part of the learning.

Then I measure. I use xAPI tracking, Qualtrics, and analytics to understand what is landing and what is not, and I measure against aligned KPIs for specific audiences to see whether we have actually moved the needle and created behavioral change, not just checked a completion box. That data drives the next improvement loop and makes the next version better than the last. The role I play shifts with the project. Sometimes I am the researcher, sometimes the designer, sometimes the strategist. Usually some combination of all three. But the throughline is always the same: I triangulate between data, user feedback, and observational experiences to make sure every design decision has something real behind it.

How I work: I thrive in ambiguity. Give me a messy problem, a fast pace, and a team that trusts me to help lead the way through it and I am in my element. I do not wait for things to be perfectly defined before I start moving, I work through the thick of it, bringing people along so that by the time we get to a solution it feels like something we built together, not something handed down.

I take design standards seriously, not because rules matter more than people, but because consistency is what allows a learning system to scale without losing its integrity. I build with that in mind, using governance frameworks, templates, and review cycles to make sure the tenth course feels as intentional as the first. I also work in tandem with facilitators to create seamless learning experiences within cohorts, making sure what happens in the room or on screen is as thoughtful as what was designed on paper.

And I genuinely love developing other people. Whether it is a junior designer finding their footing, a facilitator preparing to deliver something for the first time, or a leader building coaching capability, I invest in the people around me because I believe that when one of us gets better, all of us do.

What is harder to find: I bring technical depth that goes beyond the typical instructional design toolkit. I self-author xAPI embedded content, build and modify internal sites using HTML, CSS, and JavaScript, and use Qualtrics and Tableau to build measurement systems that go beyond completion data into behavioral change and business impact. I have piloted and shipped VR learning experiences in Glue and edited and migrated legacy media in Adobe Creative Cloud.

Outside of my technical range, there has not been a tool that has scared me yet. More than that, I am someone who can zoom in and out. I can see the larger picture of how a learning experience impacts someone's entire journey, and then zoom into the detail of developing a specific capability that makes someone feel confident in what they do. I am comfortable in a VP-level strategy conversation in the morning and in the weeds of a Qualtrics logic build in the afternoon, and I genuinely care about both equally.

What I'm currently exploring: I do not just follow where AI is going, I build with it. I retro'd my original Color Scheme Picker, which I first built in Articulate Storyline, and rebuilt it as a real MVP in Lovable. The v2 is a prompt-based palette generator with WCAG accessibility compliance, keyboard accessibility, HEX copy functionality, and CSS and JSON output. I ran security checks throughout and can demo it.

I also used Claude as a thought partner to prototype Spark, an AI Goal Setting Coach, and built Coach the Mountain as part of a Lovable Women's Day challenge, a leadership coaching tool that guides leaders through different levels of conversation using the GROW framework. Both intentionally include a human in the loop, because I believe AI works best when it augments human judgment rather than replacing it. Both run on my own API tokens and are demoed rather than publicly launched, but they work and they show what is possible when you think about AI as a design medium rather than just a shortcut.

I integrate Copilot into my daily design workflow and am actively exploring how AI can be used not just to accelerate content creation but to create more personalized, adaptive, and responsive learning experiences. I am currently working through small cohorts to build my own AI agents, tools that complete their own workflows end to end. I am still deciding exactly what to build first, whether that is something that evaluates skill gaps or provides feedback on scenario-based question sets, but the direction is clear: AI-automated workflows that do meaningful work, not just busy work. Part of that intentionality means staying aware of AI's environmental footprint and using it where it adds real value, not as a default for everything. I am drawn to environments where that kind of thinking is welcomed and where the field is still being figured out together.

Anything, everything, and more. I'm always game for a challenge. Whether it's looking down that steep run “that I would never do…” or taming a wild river (no big deal, right?). Honestly, my fiercest competition is usually… me. I'm constantly picking up new tricks, whether it's throwing pottery, vibe coding, or figuring out the best way to keep my dog, Sage, from outsmarting me (spoiler: she usually wins). I can roll with whatever life throws my way, whether it's getting lost outside or sampling food in a country I've never been to. If there's something new to learn or explore, count me in!