CASE STUDY | AI GOVERNANCE & DATA PRIVACY
Orchestrating consistency and unifying UX teams: Integrating AI-assisted features into legacy enterprise products
Design problem
With the influx of AI-assisted technology, I had to figure out how to guide group of designers to incorporate AI into legacy enterprise products. It was important that it improves ease of use and brings transparency to the user about how AI technology was being used. The challenge? I inherited a team that had solved for a feature designed completely differently by another team.
Project outcome
Able to release the feature with cohesive designs that accommodates 2 different personas and products.
Timeline
6 weeks
My role
Senior UX Design Manager mentoring and coordinating designers across 2 products to ensure consistency for next product release
*Note: This project has limited public view
Details and designs available for discussion per request
Taking on a new team
Addressing escalations: 2 AI features not on track to meet their feature release deadline
Taking on a new project started with an escalation from a fellow UX manager, that my new team and her team had 2 opposite design solutions for the same AI-assisted feature in each of their products at the company. This creates usability risk and disjointed experience for the customer. This was escalated weeks before the commit for next product release cycle and was already in progress when I came onboard.
* design artifacts are available for review when requested
Taking on new team mid-sprint
Providing feedback when there's 2 design concepts for 1 feature
After spending time talking to all designers involved it became clear we would need a unified design strategy for both teams to align to. After walking through all UX discovery research, usability tests, and listening to the differing design opinions, I could synthesize all that feedback to create a design that could accommodate both products.
* design artifacts are available for review when requested
UX Leadership
Mentoring and guiding designers to alignment
Designing a solution that both teams could align with took, a lot of design jam sessions, reviews, and leadership communication. It required involving everyone in the process while still being the guiding voice that could see the bigger picture.
What does the data say?
Using analytics and usability test results to plan out feasible next steps in the timelines
Crucial component to creating alignment was not to just provide the team with a new solution, but remaining objective and looking at the research and analytics to determine what were the customer goals, business tradeoffs and experience risks we had to try and meet the deadline of the scheduled feature release.
* design artifacts are available for review when requested
Managing high visibility projects
Coordinating communication with leadership and executives
Designing AI features at this point was quite new and highly visible in the company so it was important to maintain clear communication through, scheduled meetings, weekly email updates and messages to ensure leadership in UX, Product and Engineering were aligned with the tradeoffs.
* design artifacts are available for review when requested
This project was harder to achieve alignment because this feature was one of the first AI features being introduced to the enterprise product so there was no established design patterns and guidelines to anchor UX leadership decisions to.
Outcome
Shipped feature on time with increased customer value and product alignment
Crucial component to creating alignment was not to just provide the team with a new solution, but remaining objective and looking at the research and analytics to determine what were the customer goals, business tradeoffs and experience risks we had to try and meet the deadline of the scheduled feature release.
* design artifacts are available for review when requested
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