I apply intentionality in my learning design.
I take a performance-first approach, grounded in the audience's context. I partner with stakeholders to focus on the business challenge behind the request, then use a needs assessment model to separate the real issue from the noise before assuming a learning solution is the fix.
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When a learning solution is right, I make it seamless. I break down complex processes and concepts into relevant, functional performance support people can reach the moment they need it.
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I bring that same intentionality to AI. I try new tools on real work, learn fast from what breaks, and turn the wins into tools that raise the quality bar. I keep sharpening how I design with AI and comparing notes with a community of AI-forward peers in L&D.

My personal mission as a learning designer is to design learning experiences that give opportunities to experiment, practice, fail fast, and perform.
What I bring to the table
Impact
I advocate and create solutions that yield results.
Quality
I hold a high bar and co-create the AI tools that raise it.
Innovation
I use AI to design faster, better, and at scale.