Google Gemini in Workspace

Workspace Goals

This project focused on validating and optimizing the integration of AI features within a workspace environment. Through iterative concept testing, we aimed to ensure a seamless and intuitive user experience, maximizing the value of AI-powered tools.

Validate the usability and desirability of proposed AI integration concepts.

Identify user needs and expectations related to AI-powered features within the workspace.

Generate new research questions to guide future iterations.

Our Methods

1:1 Remote In-Depth Interviews (IDIs):

Facilitated and analyzed 70+ remote interviews to understand user perceptions, needs, and pain points related to AI integration.

Iterative Concept Validation:

Conducted multiple rounds of concept testing to gather user feedback on evolving AI integration designs.

Usability Testing:

Employed task-based usability testing to evaluate the effectiveness and efficiency of AI-powered workflows.

Data-Driven Design Iterations:

Contributed to 10+ Agile development cycles, ensuring continuous user feedback informed product refinement.

Data-Driven Design Decisions:

Provided concrete user insights that directly influenced design decisions, resulting in a more user-centered AI integration.

Improved User Adoption:

Optimized AI workflows based on user feedback, leading to increased user adoption and satisfaction.

Proactive Research and Discovery:

Identified new research questions, contributing to a deeper understanding of user needs and guiding future product development.

My Impact on Gemini

To validate and optimize the integration of AI features within the workspace, iterative concept testing was conducted. The findings from each iteration were detailed in comprehensive research reports, while usability testing reports highlighted key usability issues and actionable recommendations for a seamless user experience. A prioritized list of design recommendations, categorized by impact and feasibility, was created to maximize the value of AI-powered tools. Finally, a documented list of new research questions was compiled to inform future research and ensure continuous improvement of the AI integration.