Nicolas has over eight years of experience in graphic and user experience design. He has successfully worked with clients across regions, cultures, and languages. Throughout his career, Nick has helped companies develop new experiences, understand their customers and transform their digital strategies.
Prior to joining McKinsey, Nick led and designed experiences for various A.I. enabled products at IBM Watson.
Nick specializes in visual design, interaction design, user research, facilitation, coaching, agile processes, and product planning. When not reading about design and technology, Nick spends his time hiking and photographing nature.
The IBM Watson tooling team is responsible for creating experiences for all cognitive services in the platform. These tools are targeted towards garage hackers and enterprise users to solve different use cases. I have worked in various projects that posed complex challenges, required high technical knowledge and innovative thinking.
Natural language classifier enables developers without a background in machine learning or statistical algorithms to create natural language interfaces for their applications. The service interprets the intent behind text and returns a corresponding classification with associated confidence levels.
When I joined the team, Natural Language Classifier was on its Beta release. The team had done an incredible job in a short time frame and had a sprint left to make significant improvements. Through user research, we discovered users had trouble following the process to create and train classifiers. I undertook the challenge and designed an onboarding experience to familiarize new users to the product. Due to time constraints, we were very limited in the capabilities to implement so I created a landing page which provided an overview of the tasks the user would take. I also designed a small guided tour to show users different areas of interest in the app. In post release interviews, users were grateful for the onboarding as it gave them clear idea of their workflow and goals to accomplish.
Landing page for NLC tool.
Wireframe for success notification post document upload.
As part of the Watson in IT effort, I led a team of designers through the initial design stages of the project. The goal was to understand the problems and pain points end users and IT agents encountered during a help desk engagement. I worked closely with our design researcher while conducting user interviews and synthesizing research. Through our research we discovered various opportunity areas where IBM Watson services could greatly improve both users’ experiences. Some of these pain points included: searching for solutions through large databases, obtaining context from end-users and inefficient processes and workflows. Based on these insights, I established project goals and a roadmap. Once the MVP was identified, we proceeded to brainstorm on different solutions. Shortly after, I handed off project to design team responsible for long term engagement.
UX audit for current end-user experience for IT help.
The Dialog service enables applications to use natural language to automatically respond to user questions, place transations or even hand-hold users through difficult tasks.
Presently I am working on the first release of IBM Watson Dialog which combines multiple services into one experience. I’ve had the opportunity to: facilitate design workshops, brainstorm future capabilities with key stakeholders and create wireframe flows for user testing. Beta release for the product is set for Q1 of 2019.
Dialog tool user journey map.
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