UX Case Study
Background
My Role
Going Broad with Generative Research
I started with a generative research study that would inform the scope and priorities of the rebuild. The research goals were broad, as I was learning about users’ environments, mental models, and pain points for the first time. To gain a full understanding of the client base, I interviewed users from many different client types, resulting in 20 user interviews, both on-site in clients’ offices and remote.
Synthesizing Research, Uncovering Mental Models
Together with development partners, I conducted a massive affinity mapping across an entire conference room, gathering high level themes and patterns.
The visual high-level insights gave stakeholders a vision of where the rebuild can go, and how it can solve deep user problems.
OOUX for Strategic Scoping
Using an abbreviated form of the OOUX (Object Oriented User Experience) process, I mapped out the entire system and how elements related to each other. This allowed me to scope the MVP in a way that would lend itself to efficient development practices.
Consistent Research Diving Deep
Problem
How might we increase usability for basic users without compromising on the flexibility advanced users had come to expect?
A slide used to present generative research findings related to filtering pain points.
Workshop & Ideation
Solution
Testing
Problem
Matching imported donations to existing donor accounts was a mind-numbing process.
Many users preferred manual oversight to keep their data clean, but also wished they could get the data in quickly so that they could have updated reports during a campaign.
Many users did not take advantage of the legacy system’s “auto-match” feature, because they did not trust what was going on behind the scenes.
How might we enable users to match info accurately while removing the tediousness of it?
Solution
Firstly, I separated importing from matching to allow clients to get value from their data through stats and dashboards as early as possible, without being forced to match first.
To give users more control of their matching, auto-match features were greatly expanded and explained, allowing users to granularly choose how much they want automated based on how confident the system is with the match.
Testing
Quick stats gave users value from their imports as soon as they hit the system, no need to match first
After users struggled to find “New Import/Flow” during testing, I adjusted the visual hierarchy to surface this information right where they expected it
Team Workshops
Engaging Teammates in Research
Successful Beta Launch
Sales Empowerment
Building a funnel: Invested in the success of the sales team by establishing a robust in-depth sales funnel and process, ensuring they were equipped to effectively communicate the product's value proposition.
Crafting the Messaging: Collaborated with marketing vendors to craft compelling video content, tradeshow materials, landing pages, and sales decks that showcased the product's full potential.
Client Retention
Leading the Admire redesign pushed me to sharpen my design, product, and collaboration skills. The project was larger in scope than anything I’d done before, and shaping the big picture while researching and perfecting thousands of individual interactions proved a satisfying challenge.
I enjoyed seeing disparate features come together into a whole, and the perspective that was underscored. While every detail, from micro-interactions to large features, has the potential to build or destroy an experience, they ultimately serve a user within the context of their goals and emotions.