Zero to One: Mapping Career Journey and Uncovering AI Opportunities
There was no shared understanding of how associates navigated career development, and multiple teams had competing views on priorities. The team aimed to explore AI-powered tools, such as chatbots, but lacked clarity on employee needs, existing gaps, and where to focus.
I designed and facilitated three workshops with stakeholder teams to detail journey phases, pain points, and product gaps. I followed this with primary research with employees to refine the career journey we had come up with. The project resulted in an AI chatbot that would guide employees through career decisions through personalized skill assessment, progress tracking, and tailored learning pathways.
Full-Cycle UX Research That Led To Subscription Lift for LittleLit AI
Despite consistent traffic, trial sign-ups were underperforming. I used a mixed-methods approach using existing data sources to extract actionable insights. This included behavior analytics, competitive analysis, and content reviews—all aimed at uncovering gaps in the current website experience. I created parent personas and mapped their needs from the website content. This helped in identifying key messages and recognizing the pages of the website for better clarity and ease of use.
I redesigned the user experience as well as the content of the website, which led to an increase in conversions by 611% in 3 months.
Feature Discovery Research for MVP for Enterprise Learning Platform (Amazon Learn)
There was limited clarity on how employees engaged with checklists for hands-on training, as the previous system (Knet) fragmented the learning experience. The team needed to define MVP checklist features that would enable a smooth transition to Amazon Learn while improving usability.
I conducted 12 in-depth interviews with checklist admins, validators, and trainers to uncover usage patterns, pain points, and feature gaps. These insights informed the design and prioritization of checklist capabilities, ensuring feature parity and enhanced user experience. The project resulted in improved user experience and advocated for including features tailored to driver trainers in the final checklist flows.
Usability Testing & User Feedback Analysis for A to Z HQ Dashboard Rollout
To support the Phase 2 rollout of the A to Z HQ Dashboard, I led usability testing with 10 associates across two fulfillment centers. Through hour-long sessions, participants performed eight critical tasks on an integration build installed on iPhones, allowing us to observe navigation flows, feature comprehension, and task completion rates.
The research identified key usability strengths, such as effective Quicklinks and streamlined navigation, as well as areas needing improvement like schedule refresh behavior and news content clarity. Insights informed targeted fixes and feature refinements ahead of launch, ensuring a smoother and more intuitive user experience for diverse associate demographics.