Principal Financial Group
Designed and built interactive web prototypes. Placed 2nd in a Google-hosted hackathon with an innovative time-based modal design and Employee Satisfaction Score concept.
Overview
Joined the UI/UX team that receives requests from multiple scrum business verticals at the Principal Financial Group. Built fully-interactive prototypes for different web platforms. Just two weeks into the internship, delivered a code-complete mockup that was approved for production review.
Design Process
- Conduct background research for the proposed project
- Schedule meetings with stakeholders to discuss design, development, and business requirements in detail
- Interview users or employees associated with the project
- Sketch multiple simple, low-fidelity concepts
- Explore and/or test concepts to determine the optimal user experience
- Create high-fidelity concepts of the top choices for further experimentation
- Code a high-fidelity prototype with button interactions, modals, and more
Google-Sponsored Hackathon — 2nd Place
Placed 2nd out of 15 teams. All code and design work was completed during the three-day event.
Problem
Help gather employee insights through company-based campaigns. The business request intentionally left room for exploration, and as the sole UX designer on the team, I made efforts to streamline the process for the user.
Incentive Solution
The key challenge: how can we incentivize users to complete a survey without offering rewards?
- Implemented a time-based modal that automatically closes after 20 seconds
- Leveraged UI/UX research on progress-bar psychology — the timer creates urgency and the desire to start the survey before time runs out
- To further increase acceptance rates, the form reloads during sessions until completed, unless the user opts out
Campaign Management
The Management page received positive feedback for seamlessly integrating with an existing section of the internal employee portal while introducing innovative features like the Employee Satisfaction Score.
The Score concept is based on feedback processed through the Google Sentiment Analysis NLP API, along with other parameters, to generate an average score for quick recognition.