Notes on experience.

AI & MACHINE LEARNING

Identifying innovation opportunities with human-centered practices.

I have experience working on projects to build and/or utilize AI And ML technologies. My role on these projects was to help the team identify the key workflows that would benefit most from the introduction of these tools. I also lead the mapping and modeling of the data so the team could clarify what and how the expected experience would function. Finally I also lead evaluative research efforts to identify where in a person’s workflow we could intervene and what behaviors could/would need to change for the user to adopt the solution and find value.

I approached this work using human-center AI principles which involves understanding the core tasks (or Jobs-to-be-done) a person may be trying to accomplish and then reframing them as cognitive tasks that can be supported with common data science methods. Much of the processing and interaction of these tools is hidden which requires understanding user behavior and how that behavior can be supported (or if it requires a change the people will be open to) by the tool to provide value.

DESIGN SYSTEMS

Sensemaking and wayfinding for digital shoppers.

I have a lot of experiences working on implementing and enhancing ecommerce and digital marketplace experiences. I’ve worked on creating strategy and content opportunity maps to increase new customer acquisition, as well as loyalty and account experiences designed to address customer retention. This type of work also requires a heavy dose of taxonomy and sensemaking efforts so that customers can find what their looking for, figure out if it's right for them, and complete the transaction.

AI & MACHINE LEARNING

Identifying innovation opportunities with human-centered practices.

I have experience working on projects to build and/or utilize AI And ML technologies. My role on these projects was to help the team identify the key workflows that would benefit most from the introduction of these tools. I also lead the mapping and modeling of the data so the team could clarify what and how the expected experience would function. Finally I also lead evaluative research efforts to identify where in a person’s workflow we could intervene and what behaviors could/would need to change for the user to adopt the solution and find value.

I approached this work using human-center AI principles which involves understanding the core tasks (or Jobs-to-be-done) a person may be trying to accomplish and then reframing them as cognitive tasks that can be supported with common data science methods. Much of the processing and interaction of these tools is hidden which requires understanding user behavior and how that behavior can be supported (or if it requires a change the people will be open to) by the tool to provide value.