Pledgr · Case study
Pledgr home and profile experience
I led UX research into Pledgr’s home, profile, and menu experience and worked with design and engineering on the changes. The work made pledge tools, progress, and next actions easier to find.
The starting point
Users were not discovering important pledge tools and were spending little time in the app. I investigated how the entry experience and navigation affected their ability to create and track a pledge.
My responsibility
I led interviews and usability testing, designed five-second tests and card-sorting activities, built Figma prototypes, and partnered on design and engineering decisions.
Tools & methods
Figma · UserZoom · Interviews · Surveys · Usability testing
Researching tool discovery and navigation
I interviewed users and tested pledge creation and tracking tasks to understand where the home experience failed to guide them. I also designed and distributed five-second tests and card-sorting activities for the profile page.
Mixed-method findings informed the structure, wording, and color choices of menu options. These were related areas of the app experience, rather than sequential steps in a single user task.
Prototyping clearer progress and next actions
I developed iterative Figma layouts with more visible progress indicators and calls to action, simplified navigation, and prompts for the next action. Contextual reminders helped reconnect the experience with the user’s pledge.
Comparing layouts and working with the product team
I used comparative testing to evaluate layout alternatives and worked with design and engineering to turn the research into changes. The evaluation focused on how users discovered and interacted with the pledge tools.
Outcome
Stronger engagement with the pledge tools
Home-screen improvements were associated with 30% higher session time and 45% higher feature engagement. User satisfaction increased 20% across the broader UX research and improvement work, a separate measure from the home-screen results.
Let’s connect
What could work better?
I’m interested in AI innovation and solutions roles where research becomes useful systems.